CN105286823A - Wearable self-powered multi-physiological-parameter monitoring device and method - Google Patents
Wearable self-powered multi-physiological-parameter monitoring device and method Download PDFInfo
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Abstract
本发明涉及一种穿戴式自供电多生理参数监测装置及监测方法，装置是由腰带测量单元、腕带测量单元和智能手机组成，监测人体呼吸、鼾声和脉搏信号，将其转换成数字信号后以无线形式传输到智能手机、存储、数据处理、显示和远程诊断。实现了脉搏、呼吸和血压等生理参数的实时接收和显示及睡眠状况的记录；在使用压力袖带条件下，连续无压迫对脉搏、呼吸和血压这三个生理参数动态测量。令使用者实时了解自己的脉搏、呼吸、血压等生理参数。监测装置轻便、佩戴舒适，具有成本低、易生产、监测准确的特点，同时，发电模块及充电电路的设计大大提升了监测装置的续航能力，提供了既适用于医院也适用于个人长时间使用的穿戴式生理参数监测记录装置。
The invention relates to a wearable self-powered multi-physiological parameter monitoring device and a monitoring method. The device is composed of a belt measuring unit, a wristband measuring unit and a smart phone, and monitors human breathing, snoring and pulse signals, and converts them into digital signals. Wireless transmission to smartphone, storage, data processing, display and remote diagnosis. The real-time reception and display of physiological parameters such as pulse, respiration and blood pressure and the recording of sleep status are realized; under the condition of using a pressure cuff, the three physiological parameters of pulse, respiration and blood pressure are dynamically measured continuously without compression. Allows users to know their own pulse, respiration, blood pressure and other physiological parameters in real time. The monitoring device is light, comfortable to wear, has the characteristics of low cost, easy production, and accurate monitoring. At the same time, the design of the power generation module and charging circuit greatly improves the battery life of the monitoring device, providing a long-term use that is suitable for both hospitals and individuals. A wearable physiological parameter monitoring and recording device.
Description
Technical field
The present invention relates to a kind of multi-physiological-parameter monitoring device, especially self-powered multi-physiological-parameter monitoring device and monitoring method, self can monitor pulse, breathing, blood pressure and the sound of snoring, also can hospital/doctor be sent to carry out remote diagnosis waveform and physiological parameter.
Background technology
Pulse, breathing and blood pressure are the vital signs that body weight for humans is wanted, and the information such as its intensity presented, form and speed, can show the integrated information of the healthy aspects such as the physiology of a people, the mental status and physical level.Research display, long-term poor quality of sleep can cause neuroendocrine stress being activated and exhaustion and occurring regulates that all kinds of metabolites that are disorderly, body can not excrete in time, immunologic function obviously reduces and fatigue and weak etc. gradually by regulator control system, not only can affect normal work and study, whole body multisystem can be caused time serious, the gradual harm of multiple organ, even dies suddenly.Thus, very important to the monitoring of human pulse, breathing, blood pressure and the sound of snoring.By the monitoring to human pulse, breathing, blood pressure and the sound of snoring, can Timeliness coverage prevent the pathological changes at the positions such as respiratory tract, pulmonary and cardiovascular, abnormal as having certain monitoring and warning effect to sleep apnea syndrome, arteriosclerosis, hypertension and thin angiopathy to health, be the important evidence diagnosing the illness, observe therapeutic effect and carry out Index for diagnosis clinically.In addition, breathing and beat pulse monitoring are a kind of effective ways of motion monitoring and Depth of sleep monitoring.
The research of tradition to human pulse monitoring mainly contains: TCM pulse diagnosis and the monitoring of finger photo projection-type.There is anthropic factor in TCM pulse diagnosis, has uncertainty, needs medical worker's prolonged exercise to put into practice, and photoelectricity transmission-type limits finger freely activity.
Tradition has the primary metering method of human body respiration signal: cause nasal cavity peripheral temperature to change the monitoring realized human body respiration signal by monitoring human breathing air-flow; Utilize between Body surface impedance and Pulmonary volume and there is the impedance type monitoring of respiration method that certain corresponding relation measures breathing quantitatively; Breath signal is extracted by electrocardiosignal.Also the piezoelectric membrane of using planar structure is had to carry out the research of monitoring human breathing at present.But mouth and nose air-flow monitoring method exists wears inconvenient drawback; Impedance type monitoring of respiration not only requires higher to electrode, also can cause detected value not easily problem identificatioin because of blood flow interference aroused in interest; Electrocardioelectrode is worn for a long time and patient skin can be caused irritated; The piezoelectric membrane of planar structure is surveyed and is breathed, and signal doping noise, range value is not obvious, and effect is unsatisfactory.
Conventional body's blood pressure measurement is divided into the direct method of measurement and the indirect method of measurement.The direct method of measurement, is also called arterial cannulation method, is directly to insert large artery trunks or heart detects blood pressure signal to obtain pressure value by connecting the conduit of peculiar pressure transducer.The result that the method obtains is the most accurate, but this method needs long-time preparation, has certain wound, and add manyly such as to infect, danger that the complication such as hemorrhage, thrombosis and thromboembolism occurs, therefore the method application is not extensive, is only applicable to rescue and the major operation patient of critical patient.The indirect method of measurement, the normal correlated characteristic signal that adopts carries out analyzing and obtaining pressure value, and as reflected blood pressure by blood flow, namely said noinvasive arteriotony is measured clinically.The method that non-invasive blood pressure is measured mainly contains auscultation, oscillographic method, angiosthenia method and volume-compensation method etc.Wherein, modal is on the market sphygomanometer based on oscillographic method.But such sphygomanometer usually uses inflation cuff, can produce discomfort, the stimulation that the blowing pressure is brought to measured also can affect blood pressure measurement, and due to the impact of inflationtime, can not realize the continuous of blood pressure and measure without compressing.
Tradition mainly utilizes respirator or mike to the monitoring of the human body sound of snoring, and it is a part for sleep monitor.But respirator volume greatly, costly and complicated operation, is unsuitable for popularizing; And microphone apparatus is mainly by audio signal identification, signal is easily interfered, and not easily judges the mechanism of snoring.
CN104000567 discloses " a kind of portable multiple spot monitoring of pulse system ".This system will not add the piezoelectric membrane of spring or elastic substrate directly as pulse transducer, measures the multiple spot pulse in a region simultaneously.The piezoelectric film sensor sensitivity not adding spring or elastic substrate is not high, and multiple sensor concentrated on the same area simultaneously and do not processed, the signal obtained can interfere with each other, and affects result of use.
CN102100558 discloses " a kind of wireless respiration monitoring device ".This system will not add the piezoelectric membrane of spring or elastic substrate directly as respiration pickup, utilizes pneumography to obtain human body respiration signal.The piezoelectric film sensor sensitivity not adding spring or elastic substrate is equally not high.
CN1698536 discloses " a kind of adopt auto-compensation without cuff type continuous BP measurement method ".The method, by measuring the characteristic quantity relevant to the pulse wave of measured, is determined the influential first factor parameter of described characteristic quantity; Determine the second factor parameter blood pressure of measured impacted because of the physiological activity change of measured; Based on described characteristic quantity, utilize described first and second factor parameters as compensation dosage, determine the arteriotony of measured.The blood pressure measurement error that the method will cause the change of various factors compensates, but also cannot realize measuring by shooting continuously measured's blood pressure, and trimming process is loaded down with trivial details, and accuracy is not high yet.
CN104173036 discloses " a kind of pulse wave harvester, non-invasive blood pressure continuously by shooting measuring system and method ".System that employs hemodynamic detection analyser to be wirelessly connected with pulse wave harvester, the brachial pulse ripple signal that acquisition pulse wave harvester collects and radial artery pulse wave signal carry out computational analysis, carry out continuously non-invasive blood pressure by shooting and measure.This method solve the shortcoming that non-invasive blood pressure measurement device and method measuring operation in prior art are loaded down with trivial details, but the analytical tool hemodynamic in designed system detects bulky being not easy to of analyser to be carried.
CN104739413 discloses " a kind of sound of snoring detection method and system ".This sound of snoring monitoring system, continues at the gas outlet place of respirator to detect breath signal; Oscillation Amplitude value according to the described breath signal continuing to detect obtains breathing vibration threshold value; When the Oscillation Amplitude value of the described breath signal detected in the last time is greater than described breathing vibration threshold value, assert that the breathing corresponding to the breath signal that described the last time detects there occurs the sound of snoring.This method be unable to do without respirator equipment, bulky, is not suitable for family's monitoring and uses.
Wearable parameter monitoring system is merged mutually by the medicated clothing of vital signs information monitoring technology with the daily wearing of people, makes it realize the acquisition of vital signs information in its natural state, and it is a kind of monitoring technology of safe low physiological load.Chinese patent 201520257378X provides " a kind of wireless breathing, pulse monitoring device ".Adopt piezoelectric film sensor and the flexible circuit with special construction elastic base, improve sensitivity and the convenience of sensor, device can wireless transmission, can remote access, there is abnormal signal warning function, can be used for the monitoring of the monitoring of sleep Apnea Syndrome syndrome, motion monitoring and Depth of sleep etc.But little in order to realize volume, lightweight, to be easy to carry etc. and to require and sacrifice the capacity of battery, can not realize using for a long time, be unfavorable for daily monitoring.
Therefore, for meeting the daily of wearer and medical monitoring needs, research and development one is needed to be easy to carry and to measure pulse, breathing, blood pressure and sound of snoring monitoring device accurately, it not only has high battery capacity and low-power consumption, also should possess the flying power that a kind of self power generation module effectively promotes Wearable monitoring device.
Summary of the invention
Object of the present invention is just to provide a kind of Wearable self-powered multi-physiological-parameter monitoring device for above-mentioned the deficiencies in the prior art;
Another object of the present invention is to provide a kind of method of Wearable self-powered multi-physiological-parameter monitoring device monitoring human physiological parameters.
The object of the invention is to be achieved through the following technical solutions, accompanying drawings is as follows:
Wearable self-powered multi-physiological-parameter monitoring device, be made up of belt measuring unit 1, wrist strap measuring unit 2 and smart mobile phone 3, described belt measuring unit 1 and wrist strap measuring unit 2 lie in human body waist, chest and wrist place respectively, for monitoring human breathing, the sound of snoring and pulse signal, be transferred to after converting thereof into digital signal that smart mobile phone 3 receives, stores in a wireless form, date processing, display and long-range output;
Belt electricity generation module and wrist strap electricity generation module is equipped with, for belt measuring unit 1 and wrist strap measuring unit 2 are powered in described belt measuring unit 1 and wrist strap measuring unit 2;
Wherein, described belt electricity generation module is made up of more than one group belt PVDF piezoelectric film sensor 7, belt PVDF piezoelectric film sensor 7 is connected in parallel using conductive fabric assembly a8 and conductive fabric assembly b9 as lead-in wire, and belt buckle electricity generation module powers to battery module 28 by charging circuit 27;
Described wrist strap electricity generation module is made up of the above PVDF thin film 13 of a slice, every sheet PVDF thin film 13 one end embeds in the dead slot 20 in wrist strap head 11 rubber shell fixing, other end suspended mass 12, PVDF thin film 13 is connected in parallel, and wrist strap head electricity generation module powers to battery module 28 by charging circuit 27.
Described belt measuring unit 1 comprises belt 10 and is fixed on the belt buckle 5 of its end; Belt buckle 5 is rubber shell, which is provided with buckle and belt operating switch 4, is packaged with signal processing circuit 26, charging circuit 27 and battery module 28 in rubber shell; Belt 10 is provided with single group belt PVDF piezoelectric film sensor 7, conductive fabric assembly a8, conductive fabric assembly b9 and belt electricity generation module; Single group belt PVDF piezoelectric film sensor 7 is connected with the input of signal processing circuit 26 by lead-in wire.
Described wrist strap measuring unit 2 comprises wrist strap 15 and is fixed on the wrist strap head 11 of its end; Described wrist strap head 11 is rubber shell, which is provided with buckle, module work display lamp 17, wrist strap operating switch 18 and module battery capacity indication lamp 19, is packaged with signal processing circuit 26, charging circuit 27, battery module 28 and wrist strap electricity generation module in rubber shell; Outside wrist strap 15, cover has that the compensating roller ring of wrist strap 14, two groups of wrist strap PVDF piezoelectric film sensors 16 are parallel to be encapsulated in the compensating roller ring 14 of wrist strap, and is connected with the input of signal processing circuit 26 by lead-in wire.
Described signal processing circuit 26 adopts flexible PCB, is to be connected and composed through voltage amplification unit, low-pass filter unit, voltage lifting circuit, A/D conversion and microcontroller and bluetooth module by electric charges amplify unit.
Described belt PVDF piezo film sensor 7 is made up of the elastic base with two-sided bow structure and the two panels PVDF piezoelectric membrane a21 being affixed on elastic base both sides in parallel with it, and two-sided arched elastic base is made up of two arch plastics 22 and the sponge 23 be clipped in wherein.
Described wrist strap PVDF piezo film sensor 16 is made up of with the piezoelectric membrane b25 of the PVDF be close to inside it elastic base 24 with hollow arch thin-wall construction.
The method of Wearable self-powered multi-physiological-parameter monitoring device monitoring human physiological parameters, comprises the following steps:
A, belt measuring unit 1 and wrist strap measuring unit 2 are placed on the body of monitored person;
B, driving bluetooth connect;
C, reception data;
D, data store;
E, calculating trial parameter;
F, display waveform and physiological parameter, whether long-range connection? be;
G, long-range connection;
H, transmission data, be sent completely;
I, receive remote diagnostic information showing;
J, to exit.
Beneficial effect: providing with smart mobile phone is the monitor device of platform, achieves the real-time reception of physiological parameter and the records of display and sleep state such as pulse, breathing and blood pressure; Automatically identified by the real time kinematics state of smart mobile phone to user, storage of classifying, signal waveform display, abnormal physiology Signal analysis and long-range connection.Not needing under the condition using pressure cuff, continuously without the kinetic measurement oppressively achieved these three important physiological parameters of pulse, breathing and blood pressure and record.User is made to understand the physiological parameter such as pulse, breathing, blood pressure of oneself in real time.Monitoring device is light, comfortable wearing, there is low, the easy production of cost, monitor feature accurately, simultaneously, the design of electricity generation module and charging circuit improves the flying power of monitoring device greatly, provides and is both applicable to the Wearable physiological compensation effects recording equipment that hospital is also applicable to the long-time use of individual.
Accompanying drawing explanation
Fig. 1 is Wearable self-powered multi-physiological-parameter monitoring device and communication schematic diagram;
Fig. 2 is belt measuring unit structure chart in Fig. 1;
Fig. 3 is wrist strap measuring unit using state figure in Fig. 1;
Fig. 4 is wrist strap measuring unit structure chart in Fig. 1;
Fig. 5 is the structure chart of PVDF piezoelectric film sensor in belt measuring unit in Fig. 2;
Fig. 6 is the structure chart of PVDF piezoelectric film sensor in wrist strap measuring unit in Fig. 3;
Fig. 7 is the signal processing circuit flow chart of Wearable self-powered multi-physiological-parameter monitoring device;
Fig. 8 is the circuit diagram of electric charges amplify unit in signal processing circuit in Fig. 7;
Fig. 9 is the circuit diagram of voltage amplification unit in signal processing circuit in Fig. 7;
Figure 10 is the circuit diagram of low-pass filter unit in signal processing circuit in Fig. 7;
Figure 11 is the circuit diagram of voltage lifting unit in signal processing circuit in Fig. 7;
Figure 12 is the charging circuit flow chart of Wearable self-powered multi-physiological-parameter monitoring device;
Figure 13 is the circuit diagram utilizing TP4056 lithium battery to rush electrical chip storage of electrical energy;
Figure 14 is the state recognition algorithm decision flow diagram of Wearable self-powered multi-physiological-parameter monitoring device;
Figure 15 is the electric quantity display circuit figure of Wearable self-powered multi-physiological-parameter monitoring device;
Figure 16 is Wearable self-powered multi-physiological-parameter monitoring device monitoring human physiological parameters flow chart.
In figure, 1. elastic base 25.PVDF piezoelectric membrane b26. signal processing circuit 27. charging circuit 28. battery module 29. bluetooth module of belt measuring unit 2. wrist strap measuring unit 3. smart mobile phone 4. belt operating switch 5. belt buckle 6. belt compensating roller ring 7. belt PVDF piezoelectric film sensor 8. conductive fabric assembly a9. conductive fabric assembly b10. belt 11. wrist strap head 12. mass 13.PVDF thin film 14. wrist strap compensating roller ring 15. wrist strap 16. wrist strap PVDF piezoelectric film sensor 17. module work display lamp 18. wrist strap operating switch 19. module battery capacity indication lamp 20. dead slot 21.PVDF piezoelectric membrane a22. arch plastics 23. sponge 24. hollow arch thin-wall construction
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in further detail, but the present invention is not limited thereto:
As shown in Figure 1, Wearable self-powered multi-physiological-parameter monitoring device is made up of belt measuring unit 1, wrist strap measuring unit 2 and smart mobile phone 3.
Belt measuring unit 1 has " two-sided arcuate " spring structure and is mounted on belt 10 as belt PVDF piezoelectric film sensor 7 parallel connection of elastic substrate using many groups, utilize piezoelectric principle, catch that human body is breathed when clear-headed, the deformation of the state pectus such as snoring and abdominal part when sleep, acquisition human body respiration signal and sound of snoring signal when sleeping;
Wrist strap measuring unit 2 has " dome thin shell " spring structure and is mounted on wrist strap 15 as the wrist strap PVDF piezoelectric film sensor 16 of elastic substrate using two groups, utilize piezoelectric principle, catch the vibration that when human pulse is beated, skin surface is small, obtain human pulse signal as Fig. 1.
Meanwhile, the electricity generation module being positioned at belt measuring unit 1 and wrist strap measuring unit 2 inside can carry out generating for system along with human body " wave arm motion " and " respiratory movement ".Measuring unit converts further for the physiological signal of acquisition amplification filtering to digital signal by respective signal processing circuit 26 (not marking in the drawings), utilize bluetooth module 29 (not marking in the drawings) that data are transferred to smart mobile phone 3 in a wireless form, the data of sound of snoring signal under the breath signal received, pulse signal and sleep state tentatively store by smart mobile phone 3, utilize pulse wave translation time to calculate blood pressure, carry out other numerical computations simultaneously.Subsequently breathing, pulse wave and blood pressure, breathing rate, pulse frequency, sleep state are shown in real time.And utilize the moving state identification algorithm of summing up " different motion state pectus and abdominal respiration signal geometric properties difference " and realizing, automatically the real time kinematics state of user is identified, the physiologic information of acquisition is carried out classification by kinestate and stores.Finally related data is sent to Telemedicine center by the communication of GPRS, receives the generality diagnostic result that service centre passes back.
As shown in Figure 2, belt measuring unit 1 has " two-sided arcuate " spring structure and is mounted on belt 10 as belt PVDF piezoelectric film sensor 7 parallel connection of elastic substrate using many groups.Human body is breathed when clear-headed, sleep time the state such as snoring under, volume can occur splanchnocoel changes, and deformation can occur belt 10 makes the belt PVDF piezoelectric film sensor 7 on it bend, restore, and constantly produces electric charge.One group of belt PVDF piezoelectric film sensor 7 is connected to signal processing circuit 26 input by lead-in wire, the sound of snoring signal under human body respiration signal and sleep state after entering process, can be obtained; All the other five groups of belt PVDF piezoelectric film sensors 7 are connected in parallel, as the electricity generation module of belt measuring unit 1, the electric charge of their generations is collected by conductive fabric assembly a8 and conductive fabric assembly b9, the battery module 28 being belt measuring unit 1 by charging circuit 27 (not marking in the drawings) charges, and promotes the flying power of belt measuring unit 1.Wherein, belt 10 is double-decker, conductive fabric assembly a8 and conductive fabric assembly b9 uses as the positive negative conductor of many group PVDF piezoelectric film sensors, and belt PVDF piezoelectric film sensor 7, conductive fabric assembly a8 and conductive fabric assembly b9 are all fixed on glue in the interlayer of belt 10.
The signal processing circuit 26 of belt measuring unit 1, charging circuit 27 and battery module 28 (not marking in the drawings) are encapsulated in the belt buckle 5 that medical grade rubber material makes, and belt 10 itself uses elastic woven material or leather.Belt buckle 5 is provided with buckle, the compensating roller ring 6 of belt can be utilized as required to regulate length, cosily tie up to chest and abdominal part.Because there is medicated clothing to block when belt is worn, so do not arrange relay indicating light, only on belt buckle 5, be provided with belt operating switch 4.
As Figure 3-Figure 4, the top of wrist strap PVDF piezoelectric film sensor 16 is butted on wrist pulse side, and two groups of wrist strap PVDF piezoelectric film sensors 16 are arranged in parallel to be encapsulated on the compensating roller ring 14 of wrist strap of wrist strap 15, can move flexibly and find the obvious region of pulse.The spring structure of this sensor has good transmission force property, the PVDF piezoelectric membrane b25 inside spring hollow base with beat pulse repeated deformation thus produce electric charge.Wrist strap PVDF piezoelectric film sensor 16 is connected to the input of signal processing circuit 26 by lead-in wire, can obtain human pulse signal after entering process.
For improving the flying power of wrist strap measuring unit 2, in wrist strap 15 inside, seven PVDF thin film 13 one end are fixed, in dead slot 20 reserved in unsettled embedding wrist strap head 11 rubber shell, they are connected in parallel in PVDF thin film 13 free end suspended mass 12, form the electricity generation module based on piezoelectric principle.When human body is stood, arm naturally droops, PVDF thin film 13 and mass 12 one-tenth " pendulum " shape hung thereon of wrist strap 15 inside.Wherein, suspended mass is to strengthen inertia, during human motion (to walk upright), arm nature reciprocally swinging, the PVDF thin film 13 of suspended mass 12 back and forth can bend along with arms swing, continuous generation electric charge, the battery module 28 being wrist strap measuring unit 2 by charging circuit 27 charges.
The signal processing circuit 26 of wrist strap measuring unit 2, charging circuit 27 and battery module 28 are encapsulated in the wrist strap head 11 that medical grade rubber material makes, and wrist strap 15 itself uses elastic woven material or leather.Wrist strap head 11 is provided with buckle, can regulate length as required, cosily tie up to wrist.Wrist strap head 11 is provided with wrist strap operating switch 18, module work display lamp 17 and module battery capacity indication lamp 19.
As shown in Figure 5, belt measuring unit 1 " two-sided arcuate " spring used is made up of staggered relatively two arch plastics 22 and the sponge 23 be clipped in wherein, using it as elastic substrate, two panels PVDF piezoelectric membrane a21 is affixed on spring both sides and is connected in parallel formation one group of belt PVDF piezoelectric film sensor 7.
As shown in Figure 6, " dome thin shell " spring structure that wrist strap measuring unit 2 is used, is made up of arched elastic rubber thin-walled and hollow base.One group of wrist strap PVDF piezoelectric film sensor 16 is formed together with spring inside the hollow base 24 that PVDF piezoelectric membrane b25 is close to spring.
As shown in Fig. 7-Figure 11, belt measuring unit 1 is identical with signal processing circuit 26 structure of wrist strap measuring unit 2, comprise respectively: electric charges amplify unit, voltage amplification unit, low-pass filter unit, voltage follow unit and voltage lifting unit, the charge signal that belt PVDF piezoelectric film sensor 7 or wrist strap PVDF piezoelectric film sensor 16 obtain is changed into voltage signal by electric charges amplify unit, then voltage signal amplifies by voltage amplification unit, subsequently by the irrelevant signal higher than 10HZ in low-pass filter unit filtering voltage signal, then the interference of notch filter unit filtering 50HZ power frequency component is connected, and then the load capacity of circuit is improved further by voltage follow unit, last voltage lifting unit is then voltage signal lifting made signal just be to carry out ensuing analog digital conversion, signal is sent to smart mobile phone 3 by bluetooth module 29 after analogue signal is changed into digital signal by last microcontroller.
As shown in Figure 12-Figure 13, Figure 15, due to the electric energy equalization stable that belt 10 and the respective electricity generation module of wrist strap 15 produce can not be ensured in routine use, therefore adopt ME2100A50/C50 boosting voltage stabilizing chip circuit, the electric energy produced is regulated, exports stable charging current and charging voltage.Simultaneously in order to ensure that user continues to use, TP4056 lithium battery is adopted to rush electrical chip circuit by the power storage after boosting voltage stabilizing in battery module 28.Be reflect Electricity Federation storage condition in lithium battery intuitively simultaneously, adopt Simple module electricity display lamp 19 to show battery electric quantity, make user in use, information about power can be known intuitively.
Smart mobile phone 3 is utilized to realize data receiver and the display of sound of snoring signal under breath signal, pulse signal and sleep state, the numerical computations of the physiological parameters such as breathing rate, pulse frequency, blood pressure.The pulse wave translation time utilizing the signal of two groups of wrist strap PVDF piezoelectric film sensor 16 synchronous acquisition to calculate and the linear model relation of blood pressure carry out the Fitting Calculation blood pressure.Smart mobile phone 3 utilization state recognizer can identify the real time kinematics state of user automatically simultaneously, the physiologic information of acquisition is carried out classification by kinestate and stores.
As shown in figure 14, utilize the Wave crest and wave trough numerical value difference, signal energy strength difference etc. of the breast abdominal respiration waveshape signal cycle differentiation of acquisition, signal as the foundation of carrying out operating state judgement.Breath signal is first carried out identification sleep according to energy intensity contrast, does not move and kinestate by the method for getting variance by ground floor structure.Second layer structure extraction is superimposed upon the cycle of the change of motion artifacts on breath signal, thus to walking, the kinestate such as race distinguishes further.After the breast abdominal respiration signal finally extracted under experimenter different conditions carries out medium filtering, the crest value in each cycle and trough value, distinguish as judgement symbol states such as standing, sit and lie using the difference meansigma methods of two kinds of signal multiple periodic wave spike valleies.
Related data is sent to Telemedicine center by the communication of GPRS by last smart mobile phone 3, receives the generality diagnostic result that service centre passes back simultaneously.
As shown in figure 16, Wearable self-powered multi-physiological-parameter monitoring device monitoring human physiological parameters method, comprises following order and step:
A, belt measuring unit 1 and wrist strap measuring unit 2 are placed on the body of monitored person; Be used alone or in combination the sound of snoring signal under acquisition breast abdominal respiration data, pulse data and sleep state;
B, bluetooth is driven to connect: to utilize the RFCOMM protocol layer in the Android bluetooth protocol repertory in smart mobile phone 3 to realize and the communicating of measuring unit 1 and bluetooth module 29 in wrist strap measuring unit 2;
C, reception data: receive the sound of snoring signal under breast abdominal respiration data, pulse data and sleep state;
D, data store: be stored in after data are carried out Filtering Processing in the RAM (random access memory) card of smart mobile phone 3;
E, calculating trial parameter: first utilize the AndroidPlot chart storehouse in smart mobile phone 3 to realize the display of real-time waveform, then adopt spike detection method process Wave data to obtain real-time pulse frequency and breathing rate;
F, display waveform and physiological parameter, real-time pressure value is obtained by the linear relationship matching of pulse wave translation time and blood pressure, and user movement condition adjudgement standard in data in smart mobile phone 3 and data base is compared judge user real time kinematics state, carry out being presented on the screen of smart mobile phone 3 after classification stores to data by different kinestates;
Whether long-range connection? be;
G, long-range connection;
H, transmission data, be sent completely;
I, receive remote diagnostic information showing; Be sent to Telemedicine center by the communication of GPRS, receive the generality diagnostic result that service centre passes back simultaneously.
J, to exit.
Smart mobile phone 3 is connected by bluetooth module 29 and belt measuring unit 1 and wrist strap measuring unit 2, receives the sound of snoring signal under breast abdominal respiration data, pulse data and sleep state.Then received data are stored in the RAM (random access memory) card in smart mobile phone 3.In program, data are read from stored up file, Filtering Processing is carried out to initial data, draw respiratory waveform and pulse waveform, display sleep state.By carrying out parameter extraction to breast abdominal respiration data and pulse data, calculating the physiological parameters such as breathing rate, pulse frequency oxygen and blood pressure, and result of calculation is presented on mobile phone screen.Utilization state recognizer can identify the real time kinematics state of user automatically, the physiological parameter calculated is carried out classification by kinestate and stores.And be sent to Telemedicine center with GPRS communication, receive the generality diagnostic result that service centre passes back simultaneously.
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|---|---|---|---|---|
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| CN111110207A (en) * | 2020-01-10 | 2020-05-08 | 中国科学院大学温州研究院(温州生物材料与工程研究所) | Pulse diagnosis instrument based on flexible piezoelectric sensor array |
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| WO2025068014A1 (en) * | 2023-09-29 | 2025-04-03 | Biotronik Se & Co. Kg | Implantable medical device and method of operating an implantable medical device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4045344B2 (en) * | 2005-06-08 | 2008-02-13 | 独立行政法人国立高等専門学校機構 | Body motion detection sensor and body motion monitoring system using the same |
| US20100253552A1 (en) * | 2007-07-17 | 2010-10-07 | Senentxu Lanceros Mendez | Keyboard based in polymer, copolymer or composites with piezo- and/or pyroelectric properties and respective use |
| CN201831884U (en) * | 2010-10-19 | 2011-05-18 | 艾华锋 | Novel 24-hour cardiovascular remote monitoring device |
| CN104767269A (en) * | 2015-04-14 | 2015-07-08 | 深圳市欧珀通信软件有限公司 | Smart watch and its charging device |
| CN104757950A (en) * | 2015-04-10 | 2015-07-08 | 山东大学 | Wearable physiological parameter collection system for underground rescuers |
-
2015
- 2015-10-13 CN CN201510670015.3A patent/CN105286823B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4045344B2 (en) * | 2005-06-08 | 2008-02-13 | 独立行政法人国立高等専門学校機構 | Body motion detection sensor and body motion monitoring system using the same |
| US20100253552A1 (en) * | 2007-07-17 | 2010-10-07 | Senentxu Lanceros Mendez | Keyboard based in polymer, copolymer or composites with piezo- and/or pyroelectric properties and respective use |
| CN201831884U (en) * | 2010-10-19 | 2011-05-18 | 艾华锋 | Novel 24-hour cardiovascular remote monitoring device |
| CN104757950A (en) * | 2015-04-10 | 2015-07-08 | 山东大学 | Wearable physiological parameter collection system for underground rescuers |
| CN104767269A (en) * | 2015-04-14 | 2015-07-08 | 深圳市欧珀通信软件有限公司 | Smart watch and its charging device |
Non-Patent Citations (1)
| Title |
|---|
| 凌振宝 等: "基于PVDF的呼吸信号检测腰带研究", 《压电与声光》 * |
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