CN202104912U - Early condition intelligent recognition monitor - Google Patents

Abstract

The utility model relates to an early stage intelligent identification monitoring device, which comprises a monitoring device, which has an electrocardiogram collection module, a body temperature collection module, a blood pressure collection module, a respiration collection module and a blood oxygen collection module. The amplifying circuit is connected, the signal amplifying circuit is connected to the A/D conversion module, the A/D conversion module is connected to the disease recognition system, the disease recognition system is connected to the processor, and the processor is connected to a display, a memory and a power module. The disease recognition system It includes an early-improvement early warning scoring module, an early-improvement early warning scoring module is connected to a set value comparison module, and the connection result of the comparison module is imported into an output system module. The utility model can identify potential critical illnesses as early as possible, quickly, intuitively, and dynamically display the information of the illnesses to medical workers and patients, create conditions for early intervention on the illnesses, improve the success rate of rescue, and reduce the fatality rate and disability rate.

Description

An early stage intelligent identification monitor

technical field

The utility model relates to a medical device, in particular to an early stage intelligent identification type monitor.

Background technique

Existing monitors can monitor important parameters such as ECG signals, heart rate, blood oxygen saturation, blood pressure, respiratory rate, and body temperature in real time through various functional modules, and realize the supervision and alarm of each parameter. The above-mentioned technologies are already mature. However, it cannot reflect the patient's condition as a whole, identify potential critical situations, and dynamically monitor changes in the condition, nor can it directly grade the condition. At the same time, the internationally recognized disease scoring system-Early Warning Score (EWS), the scoring system Early Warning Score (EWS) is to score the patient's heart rate, systolic blood pressure, respiratory rate, body temperature and consciousness, and the British National Health Service System (NHS ) in 2001 officially stipulated it as a method for medical institutions to evaluate the condition. Later, through practice and continuous revision and improvement, the early improved early warning score that is now widely used in clinical practice has been formed, but the application is cumbersome and requires dynamic evaluation, which is inconvenient to use.

Utility model content

The purpose of this utility model is to provide an early stage intelligent identification monitor for illness, which integrates the existing monitor and scoring system, and can identify the illness accurately, comprehensively, conveniently, quickly and straightforwardly.

The technical scheme that the utility model adopts:

An early stage intelligent identification monitor for illness, which includes a monitor, the monitor has an electrocardiogram acquisition module, a body temperature acquisition module, a blood pressure acquisition module, a respiration acquisition module and a blood oxygen acquisition module, and the above acquisition modules are all connected to a signal amplification circuit, The signal amplifying circuit is connected to the A/D conversion module, the A/D conversion module is connected to the disease recognition system, the disease recognition system is connected to the processor, and the processor is connected to a display, a memory and a power supply module. The disease recognition system includes an early improvement warning The score module, the early improved early warning score module is connected to the set value comparison module, the connection result of the comparison module is imported into the output system module, and the result import and output system module is connected to the processor.

The technical effect that the utility model obtains:

1. The utility model can identify potential critical illnesses as early as possible, quickly, intuitively, and dynamically display the information of the illnesses to medical workers and family members of patients, create conditions for early intervention on the illnesses, improve the success rate of rescue, and reduce the fatality rate and fatality rate. residual rate. Clinicians have high work intensity and are often in a state of fatigue, and may be unresponsive to data such as heart rate, blood oxygen saturation, blood pressure, respiratory rate and body temperature; Physicians are more sensitive to the "Critical" subtitle, reducing clinical errors. Intern doctors lack clinical experience and may be inaccurate in grasping the condition. The intelligent reminder function of the utility model can also reduce clinical mistakes. The disease condition display of the utility model is objective, real and accurate, which can enable patients and their family members to understand the disease condition more intuitively, and can reduce doctor-patient disputes to a certain extent.

Description of drawings

Fig. 1 is a system block diagram of the utility model;

Fig. 2 is a block diagram of the disease recognition system;

Fig. 3 is a circuit diagram of the ECG acquisition module;

Fig. 4 blood oxygen collection module circuit diagram;

Fig. 5 is a circuit diagram of the blood pressure acquisition module;

Fig. 6 is the circuit diagram of the body temperature sampling module;

Figure 7 is an A/D conversion circuit diagram.

Detailed ways

Embodiments of the present utility model will be further described below in conjunction with the accompanying drawings.

Referring to Fig. 1-2, an early stage intelligent identification monitor includes a monitor. The monitor has an ECG acquisition module, a body temperature acquisition module, a blood pressure acquisition module, a respiration acquisition module and a blood oxygen acquisition module. The above acquisition modules are all It is connected to the signal amplification circuit, the signal amplification circuit is connected to the A/D conversion module, the A/D conversion module is connected to the disease recognition system, the disease recognition system is connected to the processor, and the processor is connected to a display, a memory and a power supply module. The recognition system includes an early improved early warning scoring module, the early improved early warning scoring module is connected to a set value comparison module, the comparison module is connected to a result import and output system module, and the result import and output system module is connected to the processor.

The utility model is designed in the form of separating the main control board and the acquisition module, and realizes functions such as measurement, analysis, and alarm. Five basic life parameter signals of the human body, ECG, SPO2, NIBP, R, and TEMP, are obtained through the lead terminal, blood oxygen probe, cuff, and temperature probe, and the data are sent to the processor through the serial port. Classification (Critical/Critical), while real-time display of disease classification (Potentially Critical/Critical) and waveforms and values of various signals on the LCD or computer monitor.

Figure 3 is a design block diagram of the ECG acquisition circuit. The amplitude of human ECG signal is generally only 0.5 ~ 4mV, which must be amplified. This system uses instrumentation amplifier INA326 with high input impedance and high-precision operational amplifier 0PA2335 to form a two-stage amplifying circuit, which amplifies the ECG signal in the 0.5-106Hz frequency band by 200 times. The right leg drive circuit is specially designed to overcome 50Hz power frequency common mode interference and improve the common mode rejection ratio. The principle is to use the common-mode voltage with the human body as the addition point for parallel negative feedback. The method is to extract the common-mode voltage in the pre-amplifier circuit, and then return it to the right leg of the human body after being inverted and amplified by the drive circuit. The amplified and noise-removed ECG signal is converted by A/D and sent to OMAP3530 through SPI (serial peripheral interface) interface for monitoring, derivation and other related algorithm processing.

Referring to Fig. 4, the measurement of SP02 is mainly carried out according to the different degrees of light absorption of different wavelengths by oxyhemoglobin and reduced hemoglobin. The blood oxygen probe uses light of two specific wavelengths to pass through the upper part of the human finger, and uses a silicon photocell to receive the transmitted light to generate an electrical signal. Calculate the ratio of the AC and DC components of the two light intensities, and SP02 can be obtained through formula (4).

SP02＝b×(AC660*DC925)/(DC660*AC925)+a (4)

Among them, a and b are constants; AC660 and AC925 are the AC components of the two transmitted light signals respectively; DC660 and DC925 are the DC components of the two transmitted light signals respectively.

The monitor uses RST002DA blood oxygen probe, plus pulse control circuit, signal amplification circuit and double T trap circuit to form blood oxygen module.

Referring to Figure 5, the vibration non-invasive measurement method is to use an inflatable cuff to block the blood flow of the upper arm artery, and to identify the arterial systolic pressure, diastolic pressure and mean pressure by monitoring the fluctuation of the pressure in the cuff caused by the blood flowing through the elastic artery. The pressure signal obtained by the pressure sensor MPX5050GP is sent to the A/D converter after the high and low two-way filter and amplifier, and the digitized pressure information is obtained. On the OMAP3530 side, after obtaining the pressure data, the systolic blood pressure, diastolic blood pressure and mean pressure can be calculated according to the following algorithm. Among them, ①Systolic blood pressure refers to the pressure index corresponding to the moment when the amplitude changes from small to large, and the rate of increase changes during the deflation process; ②Diastolic blood pressure refers to the pressure index corresponding to the moment when the vibration amplitude passes through the maximum point and begins to decrease, and the rate of decrease changes reaches the maximum; ③ mean blood pressure refers to (systolic blood pressure + 2 diastolic blood pressure) / 3.

On the circuit, the respiratory acquisition module and the ECG acquisition module share chest monitoring electrodes and preamplifiers. The single-chip microcomputer controls the frequency synthesis chip AD9833 to obtain a 62.5kHz high-frequency periodic signal, and then obtains the excitation pulse of this frequency through the V/I conversion circuit. The pulse is applied to the chest cavity of the human body, and the respiratory signal modulated by the 62.5kHz pulse is obtained at both ends of the measuring electrode. After amplification, demodulation and band-pass filtering, the prototype of the respiratory signal can be obtained. Send the respiratory signal after A/D conversion to OMAP3530 for further processing to obtain relevant respiratory data.

Referring to Figure 6, most body temperature measurements for monitoring use thermistors as sensors. The body temperature measurement circuit is a Wheatstone bridge, and the thermistor is placed on one of the bridge walls of the bridge, and the body temperature is measured by measuring the unbalanced output of the bridge.

Due to space limitations, only the ECG module is taken as an example to introduce the design of the A/D conversion circuit. The circuit diagram is shown in Figure 7. The ADS8325 used in the design is a 16b precision, ultra-low power consumption A/D switching chip from Texas Instruments. When the sampling rate is lower than 10kHz, the power consumption of the ADS8325 is less than 1mw. The two analog signal input terminals IN+ and IN- of the ADS8325 form a differential input pair, and the common mode pin REF is used to set the common input voltage. The working reference voltage of the ADS8325 is 2.5V, and a lower voltage can reduce the signal-to-noise ratio. This design samples ECG signals in the 0.5-106Hz frequency band. According to the Nyquist rate, the sampling frequency is set to 250Hz and 16b sampling. The reference level of ADS8325 is provided by the outside, communicates through SPI serial oral language OMAP3530.

The "condition recognition program" is about scoring and summing the patient's heart rate, systolic blood pressure, respiratory rate, body temperature, and consciousness data (conscious patients, score 0, do not need to collect information, and unconscious patients need to "zero point" Adjustment, semi-intelligent, conscious patients account for the majority of patients, does not affect the use effect, but still needs to be improved) compared with the set early improved early warning score threshold (≥5 points for potential critical patients, ≥9 points for critical patients ), import the comparison result into the output system in the form of potentially critical/critical. .

Early Modification Early Warning Scale

With the help of the powerful performance of OMAP, this utility model adopts Google's Android platform for development in the monitor for the first time. Android is a software platform and operating system based on Linux, and is a comprehensive platform for developmental mobile devices in the true sense. The monitoring program is based on Android SDK (software development kit) 1.6, and is developed in Java language in IBM's Eclipse 3.3. Monitoring interface, the program can display the ECG, SP02, NIBP, R and temp signal parameters transmitted from the serial port in real time in the form of waveform and data respectively. In addition to the basic parameter monitoring function, the program also allows the user to manually set the alarm threshold of each parameter to meet the alarm needs of different occasions. In addition, relying on the powerful computing power of the dual-core processor DSP side, it can also use real-time monitoring data as a blueprint to realize automatic disease diagnosis through disease identification program processing.

The scope of protection of the utility model is not limited to the above-mentioned embodiments. Obviously, those skilled in the art can make various changes and deformations to the utility model without departing from the scope and spirit of the utility model. If these changes and deformations fall within the scope of the claims of the utility model and their equivalent technologies, the intent of the utility model is to include these changes and deformations.

Claims (1)

1. an early stage intelligent identification type monitor of a disease state, it comprises monitor, is characterized in that: monitor has electrocardiogram acquisition module, body temperature acquisition module, blood pressure acquisition module, respiration acquisition module and blood oxygen acquisition module, and above-mentioned acquisition module all It is connected to the signal amplification circuit, the signal amplification circuit is connected to the A/D conversion module, the A/D conversion module is connected to the disease recognition system, the disease recognition system is connected to the processor, and the processor is connected to a display and a power module. The disease recognition system It includes an early improved early warning scoring module, the early improved early warning scoring module is connected to a set value comparison module, the comparison module is connected to a result import and output system module, and the result import and output system module is connected to the processor.

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