CN116602644A - Vascular signal acquisition system and human body characteristic monitoring system - Google Patents

Abstract

The disclosure provides a blood vessel signal acquisition system and a human body feature monitoring system. The blood vessel signal collection system is used to collect blood vessel signals, including: at least one low-frequency sound sensor for detecting the blood flow sound signal in the blood vessel, the response frequency of the low-frequency sound sensor is not higher than 400 Hz; the ECG collection unit, Collecting human body electrocardiogram signals synchronously with the low-frequency sound sensor; a processor unit, based on the human body electrocardiogram signals collected by the electrocardiogram collection unit, determining an effective interval of the blood flow sound signal; wherein, the The low-frequency sound sensor is attached around the wound of the blood vessel during use. The present disclosure creatively designs a blood vessel signal collection system, which can collect the human body characteristic data of patients undergoing interventional surgery in real time to monitor the postoperative risk of interventional patients, greatly improving the user experience.

Description

Vascular signal acquisition system, human body feature monitoring system

technical field

The present disclosure relates to the technical field of medical devices, and in particular to a blood vessel signal collection system, a blood vessel signal collection system, and a human body characteristic monitoring system.

Background technique

With the advancement of modern medical technology, more and more cardiovascular problems can be effectively treated through interventional surgery. Compared with traditional thoracotomy, interventional surgery has many advantages such as small wound, short operation time, fast recovery of patients, and low risk. However, with the development of more and more cardiac interventional operations, how to effectively monitor patients after interventional operations is a problem that must be solved.

At present, it is the most common method to monitor the ECG, blood pressure and blood oxygen of postoperative patients using traditional monitors. However, this kind of monitoring is mainly during the 24 to 72 hours after the operation, and the complete recovery of the interventional patient takes much longer than this period, and often needs to be extended from the hospital to the outside. Another thorny problem is that some patients undergoing interventional surgery will lead to postoperative vascular complications, such as hematoma, pseudoaneurysm, arterial dissection, arterial perforation, vascular stenosis, and so on. Some of these problems appear immediately after the operation, and some will be discovered after discharge from the hospital, and gradually appear or aggravate over time. If not dealt with in time, it will lead to serious consequences. Traditional monitors are difficult to effectively monitor such problems. There are also devices in the prior art that install pressure sensors on the ankles of both lower limbs to detect long-term arterial occlusion due to partial or complete femoral artery occlusion, but this method is not suitable for blood flow near the interventional puncture wound or peripheral blood vessels. The detection of blood clots and pseudoaneurysms lacks sufficient sensitivity.

At present, clinically, it mainly depends on the feeling of palpation by hand by medical workers, or auscultation near the wound with a stethoscope. However, both traditional stethoscopes and modern digital stethoscopes use bulky stethoscope heads, which cannot realize the functions of convenient portability, real-time collection and monitoring, and remote evaluation, nor can they achieve objective and intuitive display of monitoring results, and independent monitoring by patients outside the hospital. defect.

Contents of the invention

The present disclosure is completed in order to solve the above problems, and its purpose is to provide a blood vessel signal acquisition system and a human body feature monitoring system that can collect real-time human body feature data of interventional patients for postoperative risk monitoring of interventional patients.

This Summary is provided to present a simplified form of concepts that are described in detail in the Detailed Description that follows. This summary of the invention is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

In order to solve the above technical problems, an embodiment of the present disclosure provides a blood vessel signal collection system for collecting blood vessel signals, including:

At least one low-frequency sound sensor is used to detect the blood flow sound signal in the blood vessel, and the response frequency of the low-frequency sound sensor is not higher than 400 Hz;

ECG acquisition unit, used for synchronously acquiring human ECG signals with the low-frequency sound sensor;

A processor unit, based on the human body ECG signal collected by the ECG acquisition unit, determines the effective interval of the blood flow sound signal;

Wherein, the low-frequency sound sensor is attached around the wound of the blood vessel during use.

In order to solve the above technical problems, the embodiment of the present disclosure also provides a human body feature monitoring system, which adopts the following technical solutions,

The above-mentioned blood vessel signal acquisition system;

An intelligent terminal device, configured to receive the signal collected by the blood vessel signal collection system as human body characteristic data, and display and/or process it;

a server, configured to send and receive the human body characteristic data through the network;

A diagnosis and treatment assistance system, configured to receive and process the human body characteristic data sent by the server.

According to the technical solution disclosed in this disclosure, compared with the prior art, this disclosure creatively designs a blood vessel signal acquisition system, which can accurately collect signals of peripheral blood vessels or interventional puncture vessels in real time, and determine the interventional wound through real-time monitoring of blood vessel signals Whether there is an abnormality, it can also learn and analyze according to the collected human body characteristic data, which greatly improves the user experience.

Description of drawings

Fig. 1 is a schematic diagram of a part of the structure of an embodiment of a blood vessel signal acquisition system according to the present disclosure;

FIG. 2 is a schematic diagram of one embodiment of a microacoustic cavity according to the present disclosure;

Fig. 3 is a structural diagram of an embodiment of a blood vessel signal acquisition system according to the present disclosure;

FIG. 4 is a structural diagram of an embodiment of a human body feature monitoring system according to the present disclosure;

Fig. 5 is a schematic diagram of an embodiment of a terminal device according to the present disclosure.

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and elements and elements have not necessarily been drawn to scale.

Detailed ways

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs; the terms used herein in the description of the application are only for describing specific embodiments The purpose is not to limit the present disclosure; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present disclosure and the description of the above drawings are intended to cover a non-exclusive inclusion. The terms "first", "second" and the like in the specification and claims of the present disclosure or the above drawings are used to distinguish different objects, not to describe a specific order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present disclosure. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to enable those skilled in the art to better understand the solutions of the present disclosure, the following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings.

[Vascular signal acquisition system]

As shown in Figure 1 and Figure 3, it is a schematic diagram of a part of the structure and the overall structure diagram of an embodiment of a blood vessel signal acquisition system for acquiring blood vessel signals according to the present disclosure, and as shown in Figure 2, it is a micro Schematic diagram of the acoustic cavity. The vascular signal acquisition system of the present disclosure may include, for example, at least one low-frequency sound sensor 301 (101/201), at least one low-frequency vibration sensor 302 (101), an attachment unit 303 (102), an electrocardiogram acquisition unit 304, and a processor unit 305 , movement and acceleration sensor 306, temperature sensor 307, pressurization unit 308, data transmission unit 309, energy supply unit 310. In one or more embodiments, at least one low frequency sound sensor 301 ( 101 / 201 ) is disposed in the micro acoustic cavity 202 .

Firstly, the application scenario of the vascular signal acquisition system of the present disclosure is described. As shown in FIG. Leading out the interventional puncture guide wire 105, because the risks of complications such as hematoma, pseudoaneurysm, arterial dissection, arterial perforation, and vascular stenosis are prone to occur near the interventional puncture wound 104 of the vascular interventional puncture, so through the vascular signal acquisition system of the present disclosure, When in use, it is attached to the wound or peripheral blood vessels of the punctured blood vessel for real-time and highly sensitive blood vessel signal acquisition and monitoring. The punctured blood vessel is not limited to the femoral artery 103, but can also be other arteries or veins. Clinically selected suitable blood vessels and peripheral blood vessels in other locations.

In one or more embodiments, the vascular signal acquisition system of the present disclosure includes at least one low-frequency sound sensor 301 (101/201), which is used to detect blood flow sound signals in interventional puncture vessels or peripheral blood vessels, for example, the low-frequency sound sensor The response frequency is not higher than 400 Hz, and the low-frequency sound sensor 301 (101/201) is attached to the surrounding wound 104 of the punctured blood vessel or peripheral blood vessels when used;

In this disclosure, the low-frequency sound sensor 301 (101/201) is specially designed, and its response frequency is controlled in the low-frequency range. At the same time, a micro-acoustic cavity 202 is constructed to suppress high-frequency noise and amplify low-frequency sound signals from blood vessels.

In one or more embodiments, as shown in FIG. 2, at least one low-frequency sound sensor 301 (101/201) is arranged in a micro-acoustic cavity 202. The micro-acoustic cavity 202 is bowl-shaped, and preferably the projected area of the bottom thereof is less than The projected area of the top, the micro-acoustic cavity 202 is installed in such a way that the outside of the bottom of the chamber faces the surrounding punctured blood vessel or the peripheral blood vessel during use, and preferably the outside of the bottom is attached around the punctured blood vessel.

In one or more embodiments, the volume of the cavity of the low-frequency micro-acoustic cavity 202 needs to be able to strengthen the frequency band of blood vessel sounds, and at the same time have the effect of filtering and weakening the signals outside the frequency band. In one or more embodiments, the micro-acoustic cavity 202 is, for example, set as a bowl-shaped arc-shaped cavity, and a plurality of low-frequency sound sensors 301 (101/201) are arranged along the peripheral wall of the bowl-shaped arc-shaped cavity. The pressurizing unit 308 to be described is bound around the wound 104 so that the peripheral wall of the micro-acoustic cavity 202 is in close contact with the surrounding of the wound 104 .

In one or more embodiments, the shape of the micro-acoustic cavity 202 is certainly not limited to a curved cavity, and it can also be a trapezoidal cavity, a triangular cavity, etc., as long as the projected area of the bottom is smaller than the projected area of the top, so as to realize While the surrounding wall of the micro-acoustic cavity 202 is in close contact with the wound 104, the accuracy of signal collection is prevented from being squeezed by skin tissue inside the cavity.

In one or more embodiments, the micro-acoustic cavity 202 is preferably elastic, so as to achieve a closer contact with the human skin when bound by the pressurizing unit 308. The main material of the micro-acoustic cavity 202 is, for example, silica gel, rubber, polyurethane One or a combination of several materials to have good elasticity and hardness.

In one or more embodiments, the at least one low-frequency sound sensor 301 (101/201) arranged on the micro-acoustic cavity 202 is arranged in a matrix pattern at equal intervals, but not limited thereto, a plurality of low-frequency sound sensors 301 (101/201) can also be arranged in other layout patterns, such as concentric circular patterns, irregular distribution patterns, and the multiple low-frequency sound sensors 301 (101/201) are not limited to being arranged at equal intervals. The layout, quantity, and position of the multiple low-frequency sound sensors 301 (101/201) on the micro-acoustic cavity 202 are not limited, and can be appropriately selected according to clinical conditions.

In one or more embodiments, the blood vessel signal acquisition system further includes at least one low-frequency vibration sensor 302 (101), which is used to detect vibration signals of interventional puncture blood vessels or peripheral blood vessels, as shown in FIG. 1, for example, at least one low-frequency vibration sensor 302 (101) and at least one low-frequency sound sensor 301 (101/201) are set in pairs or in combination, so as to collect abnormal vibration signals generated by vascular lesions.

The attaching unit 303 (102), for example, is used to attach the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101) around the wound or the peripheral blood vessel of the punctured blood vessel.

The electrocardiographic acquisition unit 304 is used for synchronously collecting human body electrocardiogram signals with at least one low-frequency sound sensor 301 (101/201). Of course, it can also be to synchronously collect human body electrocardiogram signals within a preset time range; In the embodiment, since the vascular sound signal has hysteresis relative to the electrocardiographic signal, in order to improve the accuracy of data collection, the human body electrocardiographic signal collected before the acquisition of the vascular sound signal, for example, 5 ms, is used as the synchronous cardiac signal of the blood vessel sound signal. Of course, the electrical signal is not limited to 5ms here, and can be set to be shorter to 1ms or longer to 10ms, for example, according to different individual blood vessel conditions.

In one or more embodiments, the ECG acquisition unit 304 has, for example, a plurality of ECG electrodes for collecting ECG information of the human body, an ECG sensor adjustment circuit for controlling the operation of each ECG electrode, and an ECG The ECG analog-to-digital converter for analog-to-digital conversion of the human body’s ECG information collected by the electrodes is used to collect human body’s ECG signals in contact with the human body. It is not limited, as long as it can realize more accurate collection of human ECG signals.

In one or more embodiments, at least one low-frequency sound sensor 301 (101/201) and the ECG collection unit 304 can be connected, for example, by wire or wirelessly, and the connection method is not limited, for example, it can be any network connection Way.

It should be noted that, as shown in FIG. 1, in one or more embodiments of practical application, for example, a pair of low-frequency sound sensor 301 (101/201) and low-frequency vibration sensor 302 (101) can be set as a sensor 101, and the pair of sensors 101 are arranged on both sides of the interventional puncture wound 104 respectively. Of course, the pair of sensors 101 may not be provided with the low-frequency vibration sensor 302 ( 101 ), but two low-frequency sound sensors 301 ( 101 / 201 ), which are not limited. Here, one sensor can be set at the proximal end, and the other sensor can be set at the distal end, and of course the opposite position can also be set, which is not limited. Here, a pair of sensors 101 can be arranged around the interventional puncture wound 104, and of course, multiple pairs of sensors 101 can also be arranged, and the number is not limited. In addition, the distance between the sensor 101 and the puncture wound 104 is not limited. There may be one or more sensor pairs on the attachment unit 303 (102), and the number of sensors is determined by the clinician according to the patient's condition, body shape, blood vessel position and other conditions.

In one or more embodiments, after the interventional puncture guide wire 105 is pulled out, the attachment unit 303 ( 102 ) with the sensor 101 is attached before the pressure bandaging.

In one or more embodiments, since the blood flow signal in the blood vessel is a low-frequency signal compared with general vibration and sound signals, the response frequency of the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101) is not higher than 400 Hz, preferably not higher than 150 Hz.

In one or more embodiments, due to differences in blood flow sound signals of different individuals, it is difficult to determine the acquisition period of blood flow sound signals in some cases, so the processor unit 305 of the blood vessel signal acquisition system of the present disclosure is used to For the human body ECG signal collected by the ECG acquisition unit 304, determine the effective interval of the blood flow sound signal, and also for example control the work of each unit module, and for example control the analog-to-digital converter ADC to convert the low-frequency sound sensor 301 (101/201) and the signals collected by the low-frequency vibration sensor 302 (101) are converted into electrical signals.

Under normal circumstances, compared with the heart sound signal collected in the chest, or the pulse signal collected in the wrist and neck, the blood flow sound and vibration in the blood vessel are weak signals. Even the sound and vibration of blood flow in a problematic vessel is a weak signal. For this weak signal, it is necessary to effectively eliminate environmental noise and other interference signals, and at the same time amplify the collected effective signal.

In one or more embodiments, the processor unit 305 further includes a noise acquisition unit, a filter unit, and a signal amplification unit (not shown), wherein:

The noise collection unit is used to collect the environmental noise signal synchronously with the low-frequency sound sensor; the processor unit 305 performs noise reduction processing on the blood flow sound signal based on the environmental noise signal.

A filter unit, configured to perform low-pass filter processing on the electrical signal to obtain a noise-reduced electrical signal;

The signal amplifying unit is used for amplifying and adjusting the gain of the noise-reduced electrical signal processed by the filtering unit so as to accurately collect the electrical signal.

In one or more embodiments, the above-mentioned noise collection unit, filter unit and signal amplifying unit are not arranged in the processor unit 305, but are respectively provided with a pair of sensors 101, for example, the above-mentioned noise collection unit, filter unit and The signal amplifying unit is configured as low-pass filtering and signal gain adjustment respectively corresponding to the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101), and adopts a holding circuit.

In one or more embodiments, for example, an analog-to-digital converter ADC is used in the blood vessel signal acquisition system to perform analog-to-digital conversion on the signals collected by the low-frequency sound sensor 301 (101/201) and the low-frequency vibration sensor 302 (101), but due to Two corresponding sample and hold circuits are adopted to ensure that the data acquisition of the two sensor signals is completely synchronous.

In one or more embodiments, since the inflammation of the vascular lesions around the wound 104 will cause the local skin temperature to rise, the blood vessel signal acquisition system further includes a temperature sensor 307, which is used to collect the real-time temperature at the wound, and the processor unit 305 is based on The change of real-time temperature determines the state of the interventional puncture vessel. In one or more embodiments, the real-time temperature change at the interventional puncture wound 104 is obtained, for example, by comparing it with the initial data of the patient in real time, and presenting it, for example, through a smart terminal device. In one or more embodiments, for example, by presetting the monitoring threshold value, an alarm is issued when the temperature value rises beyond the preset threshold value, such as 1 degree, or when the rate of change of the temperature value exceeds the preset threshold value, such as 2%. .

In one or more embodiments, for example, the temperature sensor 307 can also collect real-time body temperature, send it to the processor unit 305, and obtain the core body temperature through an algorithm. Since the temperature sensor measures the surface temperature, when the processor unit 305 obtains these data, it needs to calculate the core temperature through an algorithm. Here, the data and logic of the algorithm are obtained after multiple proofreadings with traditional thermometer data.

In one or more embodiments, the blood vessel signal acquisition system, for example, further includes a movement and acceleration sensor 306, which is used to detect the current human posture and motion or static state, and directly input the detection result to the processor unit 305 through I2C or SPI In order to ensure that the signal acquisition and comparison conditions are consistent. The processor unit 305 judges whether the signals collected by the low-frequency sound sensor 301 ( 101 / 201 ) and the low-frequency vibration sensor 302 ( 101 ) are available based on the detection signals of the movement and acceleration sensor 306 . The collection and monitoring of blood vessel vibration signals and acoustic signals is preferably when the patient's body is still, and at the same time, the posture of the body is also important for improving the accuracy of signal analysis. Therefore, for example, the movement and acceleration sensors 306 monitor relevant data for the user. The data detected during exercise or upright posture can be sent to the processor unit 305 for data elimination or processing. For example, when the movement and acceleration sensor 306 detects the user's movement or upright posture, it sends a reminder to the smart terminal device or other connected devices, reminding the user to pay attention to maintaining the correct monitoring posture.

The movement and acceleration sensor 306 may include, for example, an acceleration sensor and a speed sensor to determine the acceleration information and movement speed information generated by the user's blood vessels, and to assist in determining blood vessel data information, such as the acceleration sensor and the speed sensor in the movement and acceleration sensor 306. By collecting the vibration data of the user's legs, according to the acceleration algorithm, the noise of the non-vascular sound vibration is reduced through spectral filtering, band-pass filtering, high-pass filtering, etc. The combination of blood vessel data makes the collected blood vessel data more accurate.

In one or more embodiments, the blood vessel signal acquisition system further includes a pressurizing unit 308, which is used to pressurize and bandage the attachment of the blood vessel signal acquisition system to the interventional puncture vessel within 24 hours after the interventional operation. The pressurizing unit 308 ensures consistent pressurization by, for example, setting a scale with a strap, and of course other methods may also be used to ensure consistent pressurization.

In one or more embodiments, the blood vessel signal acquisition system further includes: a data transmission unit 309, configured to transmit the data processed by the processor unit 305 to a server or an intelligent terminal device for data analysis and data learning; for example, a processor The unit 305 transmits the ADC conversion results and the results of the motion and acceleration sensor 306 to the smart terminal device through the data transmission unit 309 for remote evaluation.

In one or more embodiments, the data transmission unit 309 is, for example, also used to send the collected user body characteristic data including blood flow sound signals, human body electrocardiogram signals and the data results processed and analyzed by the processor unit 305 to the user. Authorized smart terminals and/or hospitals to provide treatment references to users or hospitals.

In one or more embodiments, the blood vessel signal acquisition system further includes, for example, an energy supply unit 310 for providing operating energy for the blood vessel signal acquisition system, at least providing operating energy for the low-frequency sound sensor and the ECG acquisition unit. In one or more embodiments, the energy supply unit 310 may not include a battery, and the charging capacitor and the voltage regulation circuit module receive power supply from a smart terminal or a local server during operation. Of course, it is also possible to have a battery for power buffering with a smaller capacity for buffering charging electric energy. The system adopts the wireless charging mode, and the temperature during the charging process is close to the body temperature of the human body, so it can completely realize online charging in terms of body feeling.

In order to extract effective blood vessel sound signals more effectively, in addition to collecting blood flow vibration signals and sound signals in blood vessels near the interventional puncture wound 104 and synchronously collecting signals such as ECG signals, heart sound signals, pulse signals, etc. Signals and other human heart beat signals, using heart sound signals, pulse signals and other human heart beat signals, prompt the analysis algorithm of the analysis module described later to find the effective interval of the blood flow signal in the blood vessel, and effectively eliminate external noise interference.

The cardiac beating signal acquisition device is used, for example, to acquire a human cardiac beating signal including at least one of heart sound signal and pulse signal;

In one or more embodiments, the heartbeat signal acquisition device includes at least one of the following:

The heart sound acquisition module has a heart sound sensor for collecting human heart sound signals, a heart sound sensor adjustment circuit for controlling the work of the heart sound sensor, and a heart sound analog-to-digital converter for analog-to-digital conversion of the human heart sound signals collected by the heart sound sensor;

The pulse acquisition module has a pulse sensor for collecting human pulse signals, a pulse sensor adjustment circuit for controlling the pulse sensor, and a pulse analog-to-digital converter for analog-to-digital conversion of the human pulse signals collected by the pulse sensor.

Based on the signal data collected by the blood vessel signal collection system and the heart beat signal collection device, the processor unit determines the effective interval of at least any one of the vibration signal and blood flow sound signal collected by the blood vessel signal collection system and removes external noise interfere with data processing.

In one or more embodiments, the processor unit, for example, separately analyzes and processes the collected human body characteristic signal data, wherein, for example, heart sounds, electrocardiograms, pulse signals, etc. tend to use algorithms to analyze frequency and sensitivity, and for example For signals such as temperature, it is more likely to use algorithms for proofreading processing in order to output more accurate data. The algorithm in the processor unit is used to restore the collected voltage signal so as to obtain an accurate ECG curve. The signal transformation is realized through various transformations, and accurate ECG curves and energy distribution maps can be obtained.

In one or more embodiments, the blood vessel signal acquisition system further includes an analysis module, which is used to perform data filtering and validity analysis on the information collected by the blood vessel signal acquisition system. For valid data, a signal processing method based on continuous wavelet transform is used It is used for preliminary feature extraction, and uses artificial intelligence algorithms based on deep learning to extract blood vessel signals and human heart beat signals.

In one or more embodiments, the blood vessel signal acquisition system further includes a data comparison module. After the analysis module uses an analysis algorithm to process and analyze various blood vessel data currently collected and heart beat signal data such as heart sounds, ECG, and pulse signals, The data comparison module compares the analyzed data such as the blood flow sound signal determined by the processor unit with the user's historical data, and at the same time compares it with the known pathological data to determine whether the blood vessel vibration pressure and the acoustic signal are developing into a pathological state. Or have become morbid to determine the user's physical health.

In one or more embodiments, the analysis results of the analysis module or the data comparison module can be directly displayed and alarmed on the smart terminal device, and at the same time, the analysis results can be submitted to the nurse's station and other medical assistance systems, data centers and patient supervisors through the network. Doctors, etc., if the user information is found to be abnormal, for example, when compared with the user's historical data, there is a significant change and the data pattern is close to the known pathological data, the user will be reminded of the risk through the alarm module described later, and through the later The described calibration module analyzes whether the user information abnormality is caused by the device, and if it is caused by the device, it calibrates the relevant algorithms of each data.

In one or more embodiments, the blood vessel signal collection system further includes an alarm module, which is used for when there is abnormal data in the collected human body characteristic data or the blood flow sound signal determined by the processor unit, or the human body characteristic data or the comparison result reaches the predetermined value. Warn the user when a threshold is set.

In one or more embodiments, the blood vessel signal collection system of the present disclosure further includes a help-seeking module, configured to send a rescue signal to the outside world according to the current emergency state of the user determined by the analysis module's data analysis. For example, send a help signal to an emergency center or a pre-set emergency contact to determine the monitored human body feature information and required rescue measures, which greatly improves the accuracy of rescue and the pertinence of rescue measures.

In one or more embodiments, the blood vessel signal acquisition system further includes a calibration module, which is used to collect the blood vessel signal at a predetermined period when there is abnormal data in the collected human body characteristic data or in the blood flow sound signal determined by the processor unit. The system is calibrated. The calibration module, for example, is connected to a calibration circuit, and compares the voltage of the calibration circuit with the standard voltage value by collecting, and performs calibration after confirming the deviation value. When the calibration module calibrates, first determine the relationship model between the various data analyzed by the analysis module, combine the data of sensor structures such as vascular vibration, vascular sound, heart sound, and electrocardiogram, and obtain the original data through simulation.

Secondly, the calibration module conducts comprehensive testing and joint debugging through dedicated analog equipment and sensors. By adjusting the frequency of the sound, the receiving efficiency and anti-interference ability of blood vessel vibration and sound of different frequencies are tested (out-of-band filtering). And through simulation to determine the difference between the initial audio curve of the simulated device and the audio curve detected by the sensor based on the current sensor structure.

Because the membrane of the low-frequency micro-acoustic cavity set by the low-frequency sound sensor affects the cavity structure, it will also change the cavity's reception effect on different frequency sounds. Increase the parameters of the membrane during simulation. The membrane also needs to be sensitive to 1-1500Hz sound, and then adjust the relevant algorithm according to the measured data.

Finally, the calibration module gathers sensors for joint debugging according to the original structure data of the membrane and the current sensor structure, and determines the calibrated algorithm.

Of course, the calibration module can also calibrate related algorithms in combination with the user's posture and motion data collected by the movement and acceleration sensor 306, so that the collected data information is more accurate.

In one or more embodiments, the blood vessel signal acquisition system, for example, further includes an external sensor module, which is attached to an appropriate position of the user, such as the junction of the middle and lower 1/3 of the sternum, and is used to detect the user's blood flow rate, body surface temperature, Data information such as blood oxygen saturation, for example, includes a body surface temperature collection unit, which is used to collect body surface body temperature information; a blood oxygen collection unit, which is used to collect human blood oxygen saturation information and blood flow rate, so as to assist in determining the current heart condition Blood flow status.

In one or more embodiments, when the external sensor module of the present disclosure monitors different positions of the human body, the structure can be set differently, by detecting the change value and frequency of external force, body surface temperature, blood oxygen concentration, blood flow velocity, etc. , so as to calculate the displacement value and frequency of the contact point on the human body surface, so as to obtain various human body characteristic data information such as the heart (such as heart rate, heart sound), lung breathing, pulse, and even whether the patient moves.

In one or more embodiments, multiple in vitro sensor modules of the present disclosure can be set, for example, they can be applied to different positions of the body at the same time, such as the chest, the left chest and the right chest are attached separately, and the fluctuations of the two chests can be compared ; Or for the back, set multiple, test multi-point data.

In one or more embodiments, for example, a vascular signal acquisition system such as a sensor patch at the puncture wound 104 is used in conjunction with a heart beat signal acquisition device such as a heart sound ECG sensor patch on the chest, and the blood vessel signal and heart sound ECG signal are passed through The data transmission unit is transmitted to the smart terminal device. Doctors, nurses and patients can see the collected data waveform in real time through the smart terminal device, and conduct preliminary analysis on the smart terminal device. At the same time, the smart terminal device uses the network to upload the data to the central server for further analysis. More comprehensive analysis, documentation and archiving. Analysis results can be returned to intelligent terminal equipment and medical assistance systems such as nurse workstations, etc. It is particularly emphasized that patients do not necessarily have to be in the hospital to achieve the above collection, analysis and tracking. Patients can carry out self-test collection and monitoring in the home environment. As long as the patient has a network at home, the above-mentioned collection, analysis and tracking can be realized.

[Human Character Monitoring System]

Next, the structure of a human body feature monitoring system according to an embodiment of the present disclosure will be described. As shown in Figure 4, the system structure can also include, for example, terminal devices 401, 402, 403, 404, which are used to receive signal data collected by the blood vessel signal collection system as data of human body characteristics and perform display and/or calculation processing; network (communication Module) 405, used to transmit the human body characteristic data collected by the vascular signal acquisition system and/or the human body characteristic data sent or received by the terminal device; at least one server (or diagnosis and treatment assistance system) 406, used to send and receive human body characteristic data, for example through The network sends the human body characteristic data or receives the human body characteristic data collected by the blood vessel signal acquisition system and/or the human body characteristic data sent or received by the terminal device. The network (communication module) 405 is used as a medium for providing communication links between the terminal devices 401 , 402 , 403 , 404 and the server (or diagnosis and treatment assistance system) 406 and the blood vessel signal acquisition system 407 . In one or more embodiments, the network (communication module) 405 can be integrated in the blood vessel signal acquisition system 407, and of course it can also be set separately. The blood vessel signal acquisition system can be integrated with the server, and of course it can also be set separately. The server 406 (or diagnosis and treatment assistance system) can be a local server, certainly also can be a cloud server.

In this embodiment, an electronic device (such as a terminal device 401 , 402 , 403 or 404 shown in the figure) can transmit various information through the network 405 . Network 405 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others. It should be pointed out that the above wireless connection methods may include but not limited to 3G/4G/5G/6G connection, Wi-Fi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB connection, local area network ("LAN"), wide area network (" WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks) and other network connections now known or developed in the future. The network 405 can communicate with any currently known or future-developed network protocol such as HTTP (Hyper Text Transfer Protocol, hypertext transfer protocol), and can communicate with digital data in any form or medium (for example, a communication network) interconnection.

Users can use terminal devices 401 , 402 , 403 , 404 to interact with server 406 (or diagnosis and treatment assistance system) and blood vessel signal acquisition system 407 through network 405 to receive or send messages and the like. Various client applications can be installed on the terminal device 401, 402, 403 or 404, such as live video and playback applications, web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platforms software etc.

Terminal equipment 401, 402, 403 or 404 can be various electronic equipments with touch display screen and/or supporting web browsing, including but not limited to smartphones, tablet computers, e-book readers, MP3 (Motion Picture Experts compressed standard audio Level 3) Players, MP4 (Motion Picture Experts Compression Standard Audio Level 4) players, head-mounted display devices, notebook computers, digital broadcast receivers, PDA (Personal Digital Assistant), PMP (Portable Multimedia Player), car Terminals such as car navigation terminals, etc., and mobile terminals such as digital TVs, desktop computers, and the like.

The blood vessel signal acquisition system 407 has been described in detail above, and will not be described here. Of course, it may also include a server that provides various services, such as providing a page displayed on the terminal device 401, 402, 403 or 404 or data transmitted. Supported background servers.

In one or more embodiments, the diagnosis and treatment assistance system 406 encrypts and stores the received human body characteristic data, and establishes a personalized database for different users, establishes a user's blood vessel sound, heart sound and ECG information model, and Learning, comparing and analyzing the information, giving early warning to users who may have abnormalities, and providing reference for users' diagnosis and treatment.

In one or more embodiments, the medical system 406 includes information such as the user's name, gender, age, height, weight, medical records, heart monitoring data, blood vessel sounds, and human body characteristic data. The medical system 406 can receive the human vital sign data sent by the network data transmission module of the local server 406 through the Internet 405, or forwarded from the smart terminals 401-404 through the network 405, and automatically store, archive and analyze them And feature extraction and identification, etc., and then transmit the analysis results (such as analysis reports, health advice, or disease warning, etc.) to the local server 406 and/or smart terminals 401-404 through the Internet 405. Of course, the medical system 406 may also not send the analysis results, but the users log in to the cloud data center through smart terminals or computers to view them. In addition, under the premise of the user's permission, the collected human vital sign data and analysis results can also be called by professional medical personnel or institutions as a reference for further medical examination or diagnosis. Also under the premise of the user's permission, experts in third-party medical research, data analysis, data statistics and data mining can conduct more in-depth analysis and research on the data. Its research results can be uploaded to the medical system 406 for users to view. Users can also select and customize different analysis and feature extraction algorithms on the medical system 406, and pay the developer of the algorithm through the medical system 406 for use.

In one or more embodiments, for example, relevant data may be acquired and processed based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

In one or more embodiments, based on learning from a dataset of anthropometric monitoring data from one or more users, a machine learning algorithm can discover patterns and patterns in a number of independent and interdependent variables that can be derived from the data. the relationship between them. Ongoing consideration of these variables, or other learned variables from continuous updates of the algorithm, may allow a machine learning algorithm to probabilistically determine, eg, classify, diagnose, and/or predict a patient's state. As examples, machine learning algorithms may be configured to employ any one or more of Bayesian, random forest, decision trees, linear regression, deep learning, neural networks, and/or dimensionality reduction techniques. In some examples, the result of applying a machine learning algorithm to data, such as a cardiac signal from a vascular signal acquisition system and/or one or more physiological signals from an in vitro sensor module comprises classification of data, such as a cardiac signal and a physiological signal (individually or collectively) is one of normal or abnormal, or indicative of one or more other states of the patient, such as whether it indicates or predicts a treatable tachyarrhythmia or whether it indicates or predicts one or more comorbidities sick.

Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation/interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning/deep learning.

It should be understood that the numbers of terminal devices, networks, blood vessel signal acquisition systems (or servers), and production devices in FIG. 4 are only illustrative. According to the implementation requirements, there may be any number of terminal devices, network and blood vessel signal acquisition systems (or servers), and production devices.

Here, the terminal device can implement the method of the embodiment of the present disclosure independently or by cooperating with other electronic terminal devices to run applications in various operating systems such as the Android system, and can also run applications in other operating systems such as iOS system, Windows system, Hongmeng system, etc. The application of the system and the like implements the method of the embodiments of the present disclosure.

[Terminal Equipment]

Referring now to FIG. 5 , it shows a schematic structural diagram of an electronic device (such as the terminal device or server in FIG. 4 ) 500 suitable for implementing the embodiments of the present disclosure. The terminal devices in the embodiments of the present disclosure may be various terminal devices in the above systems. The electronic device shown in the figure is just an example, and should not limit the functions and application scope of the embodiments of the present disclosure.

As shown in FIG. 5 , an electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501 for controlling overall operations of the electronic device. The processing device may include one or more processors to execute instructions to complete all or part of the steps of the above method. In addition, the processing device 501 may further include one or more modules for processing and interacting with other devices.

The storage device 502 is used to store various types of data, and the storage device 502 may include various types of computer-readable storage media or a combination thereof, such as an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

The sensor device 503 is used to sense the specified measured information and convert it into a usable output signal according to a certain rule, and may include one or more sensors. For example, it may include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor or a temperature sensor, etc., for detecting changes in the on/off state, relative positioning, acceleration/deceleration, temperature, humidity, and light of the electronic device.

The processing device 501 , the storage device 502 and the sensor device 503 are connected to each other via a bus 504 . An input/output (I/O) interface 505 is also connected to the bus 504 .

The multimedia device 506 may include input devices such as a touch screen, a touch panel, a keyboard, a mouse, a camera, and a microphone to receive input signals from the user, and various input devices may cooperate with various sensors of the sensor device 503 to complete, for example, gesture operations Input, image recognition input, distance detection input, etc.; the multimedia device 506 may also include an output device such as a liquid crystal display (LCD), a speaker, a vibrator, and the like.

The power supply device 507 is used to provide power for various devices in the electronic equipment, and may include a power management system, one or more power supplies and components for distributing power to other devices.

The communication means 508 may allow the electronic device 500 to perform wireless or wired communication with other devices to exchange data.

Each of the above devices can also be connected to the I/O interface 505 to realize the application of the electronic device 500 .

While FIG. 5 shows an electronic device having various means, it should be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product, which includes a computer program carried on a non-transitory computer readable medium, where the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via communication means, or installed from storage means. When the computer program is executed by the processing device, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are executed.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device.

It should be noted that the above-mentioned computer-readable medium in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. In the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, or combinations thereof, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. Where a remote computer is involved, the remote computer may be connected to the user computer through any kind of network, or may be connected to an external computer (eg, via the Internet using an Internet service provider).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present disclosure may be implemented by software or by hardware. Wherein, the name of a unit does not constitute a limitation of the unit itself under certain circumstances.

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

According to one or more embodiments of the present disclosure, there is provided a blood vessel signal acquisition system for acquiring blood vessel signals, including:

At least one low-frequency sound sensor is used to detect the blood flow sound signal in the blood vessel, and the response frequency of the low-frequency sound sensor is not higher than 400 Hz;

ECG acquisition unit, used for synchronously acquiring human ECG signals with the low-frequency sound sensor;

A processor unit, based on the human body ECG signal collected by the ECG acquisition unit, determines the effective interval of the blood flow sound signal;

Wherein, the low-frequency sound sensor is attached around the wound of the blood vessel during use.

According to one or more embodiments of the present disclosure, there is provided a blood vessel signal acquisition system, further comprising a micro acoustic cavity, which is in the shape of a bowl, and the outer side of the bottom faces the skin when in use;

The at least one low frequency sound sensor is disposed in a micro acoustic cavity.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

At least one low-frequency vibration sensor is used to detect the vibration signal of the blood vessel.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, the processor unit further includes a noise acquisition unit, which is used to acquire environmental noise signals synchronously with the low-frequency sound sensor;

The processor unit performs noise reduction processing on the blood flow sound signal based on the environmental noise signal.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

Movement and acceleration sensors, used to detect the current human posture and motion state;

The processor unit judges whether the signals collected by the low-frequency vibration sensor and the low-frequency sound sensor are available based on the detection signals of the movement and acceleration sensors.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

A temperature sensor, used to collect the real-time temperature at the wound;

The processor unit determines a state of the blood vessel based on the real-time temperature change.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

The pressurizing unit is used to pressurize the attachment unit between the micro acoustic cavity and the blood vessel.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

A data transmission unit, configured to transmit the blood flow sound signal and the human ECG signal to the outside;

An energy supply unit is configured to at least provide operating energy for the low-frequency sound sensor and the electrocardiogram acquisition unit.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, including:

The low-frequency sound sensor is connected to the electrocardiogram acquisition unit by wire.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

The heart beat signal acquisition device is used for collecting heart beat signals, and the heart beat signals include heart sound signals and/or pulse signals.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, including:

The heartbeat signal acquisition device includes at least one of the following:

The heart sound acquisition module has a heart sound sensor for collecting human heart sound signals, a heart sound sensor adjustment circuit for controlling the work of the heart sound sensor, and a heart sound analog-to-digital conversion for analog-to-digital conversion of the human heart sound signals collected by the heart sound sensor device;

The electrocardiographic acquisition module has a plurality of electrocardiographic electrodes for collecting human electrocardiographic signals, an electrocardiographic sensor adjustment circuit for controlling the work of each of the electrocardiographic electrodes, and an ECG analog-to-digital converter for analog-to-digital conversion of electrical signals;

The pulse acquisition module has a pulse sensor for collecting the pulse signal of the human body, a pulse sensor adjustment circuit for controlling the operation of the pulse sensor, and a pulse analog-to-digital conversion for analog-to-digital conversion of the human pulse signal collected by the pulse sensor device.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

The analysis module is used to perform data filtering and validity analysis on the information collected by the blood vessel signal collection system, use a signal processing method based on continuous wavelet transform to perform preliminary feature extraction, and use an artificial intelligence algorithm based on deep learning to extract all The blood vessel signal and the human heart beat signal.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

A data comparison module, configured to compare the blood flow sound signal determined by the processor unit with the user's historical data or known pathological data;

An alarm module, configured to issue an alarm when abnormal data appears in the blood flow sound signal determined by the processor unit or when the comparison result reaches a preset threshold.

According to one or more embodiments of the present disclosure, a blood vessel signal acquisition system is provided, further comprising:

A calibration module, configured to calibrate the blood vessel signal acquisition system when abnormal data appears in the blood flow sound signal determined by the processor unit or at a predetermined period.

According to one or more embodiments of the present disclosure, a human body feature monitoring system is provided, which is characterized in that it includes:

The blood vessel signal acquisition system as described in any one of the above;

An intelligent terminal device, configured to receive the signal collected by the blood vessel signal collection system as human body characteristic data, and display and/or process it;

a server, configured to send and receive the human body feature data through the network;

A diagnosis and treatment assistance system, configured to receive and process the human body characteristic data sent by the server.

According to one or more embodiments of the present disclosure, a human body feature monitoring system is provided, which is characterized in that,

The diagnosis and treatment assistance system encrypts and stores the received human body feature data, and establishes a personalized database for different users, establishes a user's ECG information model, and performs learning comparison and analysis on the user's information. The user gives an early warning and provides reference for the user's diagnosis and treatment.

According to one or more embodiments of the present disclosure, there is provided a computer device, including a memory and a processor, where computer-readable instructions are stored in the memory, and when the processor executes the computer-readable instructions, receiving such as The data of the blood vessel signal acquisition system described in any one of the above is displayed and/or calculated.

According to one or more embodiments of the present disclosure, a computer-readable storage medium is provided. Computer-readable instructions are stored on the computer-readable storage medium, and when the computer-readable instructions are executed by a processor, receiving such The data of the blood vessel signal acquisition system described in any one of the preceding items is calculated.

The above description is only a preferred embodiment of the present disclosure and an illustration of the applied technical principles. Those skilled in the art should understand that the disclosure scope involved in this disclosure is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the technical solutions formed by the above-mentioned technical features or Other technical solutions formed by any combination of equivalent features. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

In addition, while operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or performed in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while the above discussion contains several specific implementation details, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims (15)

1. A blood vessel signal acquisition system, for collecting blood vessel signals, is characterized in that, comprising: At least one low-frequency sound sensor is used to detect the blood flow sound signal in the blood vessel, and the response frequency of the low-frequency sound sensor is not higher than 400 Hz; ECG acquisition unit, used for synchronously acquiring human ECG signals with the low-frequency sound sensor; A processor unit, based on the human body ECG signal collected by the ECG acquisition unit, determines the effective interval of the blood flow sound signal; Wherein, the low-frequency sound sensor is attached around the wound of the blood vessel during use. 2. blood vessel signal acquisition system as claimed in claim 1, is characterized in that, Also includes a microscopic acoustic cavity, which is bowl-shaped, with the outer side of its bottom facing the skin when in use; The at least one low frequency sound sensor is disposed in a micro acoustic cavity. 3. The blood vessel signal acquisition system according to claim 1, further comprising: At least one low-frequency vibration sensor is used to detect the vibration signal of the blood vessel. 4. blood vessel signal acquisition system as claimed in claim 1, is characterized in that, The processor unit also includes a noise acquisition unit configured to acquire environmental noise signals synchronously with the low-frequency sound sensor; The processor unit performs noise reduction processing on the blood flow sound signal based on the environmental noise signal. 5. The blood vessel signal acquisition system according to claim 1, further comprising: Movement and acceleration sensors, used to detect the current human posture and motion state; The processor unit judges whether the signals collected by the low-frequency vibration sensor and the low-frequency sound sensor are available based on the detection signals of the movement and acceleration sensors. 6. The blood vessel signal acquisition system according to claim 1, further comprising: A temperature sensor, used to collect the real-time temperature around the wound; The processor unit determines a state of the blood vessel based on the real-time temperature change. 7. The blood vessel signal acquisition system according to claim 2, further comprising: The pressurizing unit is used for pressurizing the attachment of the micro-acoustic cavity to the blood vessel. 8. The blood vessel signal acquisition system according to claim 1, further comprising: A data transmission unit, configured to transmit the blood flow sound signal and the human ECG signal to the outside; An energy supply unit is configured to at least provide operating energy for the low-frequency sound sensor and the electrocardiogram acquisition unit. 9. The blood vessel signal acquisition system according to claim 1, characterized in that, The low-frequency sound sensor is connected to the electrocardiogram acquisition unit by wire. 10. The blood vessel signal acquisition system according to claim 1, further comprising: The cardiac beating signal acquisition device is used for collecting cardiac beating signals, and the cardiac beating signals at least include heart sound signals and/or pulse signals. 11. The blood vessel signal acquisition system according to claim 10, wherein the heart beat signal acquisition device comprises at least one of the following: The heart sound acquisition module has a heart sound sensor for collecting human heart sound signals, a heart sound sensor adjustment circuit for controlling the work of the heart sound sensor, and a heart sound analog-to-digital conversion for analog-to-digital conversion of the human heart sound signals collected by the heart sound sensor device; The pulse acquisition module has a pulse sensor for collecting the pulse signal of the human body, a pulse sensor adjustment circuit for controlling the operation of the pulse sensor, and a pulse analog-to-digital conversion for analog-to-digital conversion of the human pulse signal collected by the pulse sensor device. 12. The blood vessel signal acquisition system according to claim 1, further comprising: A data comparison module, configured to compare the blood flow sound signal determined by the processor unit with the user's historical data or known pathological data; An alarm module, configured to issue an alarm when abnormal data appears in the blood flow sound signal determined by the processor unit or when the comparison result reaches a preset threshold. 13. The blood vessel signal acquisition system according to claim 1, further comprising: A calibration module, configured to calibrate the blood vessel signal acquisition system when abnormal data appears in the blood flow sound signal determined by the processor unit or at a predetermined period. 14. A human body feature monitoring system, comprising: The blood vessel signal acquisition system according to any one of claims 1 to 13; An intelligent terminal device, configured to receive the signal collected by the blood vessel signal collection system as human body characteristic data, and display and/or process it; a server, configured to send and receive the human body feature data through the network; A diagnosis and treatment assistance system, configured to receive and process the human body characteristic data sent by the server. 15. The human body characteristic monitoring system as claimed in claim 14, characterized in that, The diagnosis and treatment assistance system encrypts and stores the received human body characteristic data, and establishes a personalized database for different users, establishes a user human body characteristic data model, and performs learning, comparison and analysis on the user's human body characteristic data, and analyzes possible occurrences. An abnormal user will be alerted and provided with reference for the user's diagnosis and treatment.