CN103654742A - Multi-parameter identification system for monitoring human health conditions - Google Patents

Multi-parameter identification system for monitoring human health conditions Download PDF

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Publication number
CN103654742A
CN103654742A CN201310638538.0A CN201310638538A CN103654742A CN 103654742 A CN103654742 A CN 103654742A CN 201310638538 A CN201310638538 A CN 201310638538A CN 103654742 A CN103654742 A CN 103654742A
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China
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processing unit
signal processing
signal
signal sensor
circuit
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CN201310638538.0A
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Chinese (zh)
Inventor
葛高发
吴薇
黄新安
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JIANGSU XIWANG ELECTRONIC TECHNOLOGY Co Ltd
Jiangnan University
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JIANGSU XIWANG ELECTRONIC TECHNOLOGY Co Ltd
Jiangnan University
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Priority to CN201310638538.0A priority Critical patent/CN103654742A/en
Publication of CN103654742A publication Critical patent/CN103654742A/en
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Abstract

The invention discloses a multi-parameter identification system for monitoring human health conditions. The multi-parameter identification system comprises a signal collecting unit, a signal processing unit, a control unit, a wireless transmission unit, an intelligent terminal device and a power source. The control unit is connected with the intelligent terminal device through the wireless transmission unit. The signal collecting unit comprises a heart-beat signal sensor, an electrocardiogram signal sensor, an electromyogram signal sensor and a fat-content signal sensor which are mutually independently. The signal processing unit comprises a heart-beat signal processing unit, an electrocardiogram signal processing unit, an electromyogram signal processing unit and a fat-content signal processing unit which are mutually independently and are in one-to-one correspondence with the four signal sensors. The heart-beat signal sensor, the electrocardiogram signal sensor, the electromyogram signal sensor and the fat-content signal sensor are connected with the heart-beat signal processing unit, the electrocardiogram signal processing unit, the electromyogram signal processing unit and the fat-content signal processing unit respectively. The multi-parameter identification system is intelligent in operation, reliable in result and capable of meeting physical sign monitoring requirements of people.

Description

A kind of Multiparameter system of monitoring of human health state
Technical field
The invention belongs to medical instruments field, particularly relate to a kind of Multiparameter system of monitoring of human health state.
Background technology
Human body physical sign signal is reflecting a people's physical condition constantly, can understand in time the variation of health by monitoring human sign signal, the generation of prevention human body diseases.Being accompanied by age increase, there are a series of variations in the anatomical tissue structure of human body and physiological metabolism, body function decline, and adaptability to changes goes down, and it is crisp that skeleton also becomes, and these physiological changies can show by the rhythm of the heart and the condition of human body.When ill, heart disease particularly, all can there is obvious variation in the rhythm of the heart.In addition, body fat is also the key factor that produces multiple human body diseases.Existing sign custodial care facility can only be used mostly in hospital ward, and cost is higher and be not easy to mobile.This forces user to detect cost great effort and financial resources for conventional physiology sign.
Summary of the invention
The technical problem existing in order to solve above-mentioned background technology, the present invention aims to provide a kind of Multiparameter system of monitoring of human health state, meets the demand of the daily physiology sign monitoring of people.
In order to realize above-mentioned technical purpose, technical scheme of the present invention is:
A kind of Multiparameter system of monitoring of human health state, comprise signal gathering unit, signal processing unit, control unit, wireless transmission unit, intelligent terminal and power supply, power supply is that whole system is powered by control unit, and control unit is connected with intelligent terminal through wireless transmission unit, described signal gathering unit comprises separate cardiac signal sensor, core signal sensor, electromyographic signal sensor and fat content signal transducer, described signal processing unit comprise separate and with aforementioned four signals collecting sensors cardiac signal processing unit one to one, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit, described cardiac signal sensor, core signal sensor, electromyographic signal sensor is connected respectively corresponding cardiac signal processing unit with fat content signal transducer, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit.
Wherein, above-mentioned cardiac signal sensor adopts the full bridge measurement circuit that four pressure transducers form.Above-mentioned cardiac signal processing unit comprises preposition analog circuit, block isolating circuit, first order amplifying circuit, 50HZ trap circuit, second level amplifying circuit, low-pass filter circuit and the gain conditioned circuit connecting successively, described preposition analog circuit connects the outfan of cardiac signal sensor, described gain conditioned circuit connection control unit.
Wherein, above-mentioned core signal sensor adopts two electrode handles.Above-mentioned electrocardiosignal processing unit comprises feedback amplifier, and core signal sensor is connected with control unit through described feedback amplifier.
Wherein, above-mentioned electromyographic signal sensor adopts two pairs of electrode slices.Above-mentioned electromyographic signal processing unit comprises low pass filter, amplifier and the second-order bandpass filter connecting successively, and described low pass filter connects electromyographic signal sensor, described second-order bandpass filter connection control unit.
Wherein, above-mentioned fat content signal transducer adopts two pairs of electrode slices.Above-mentioned fat content signal processing unit comprises amplifying circuit and the current rectifying and wave filtering circuit connecting successively, and described amplifying circuit connects fat content signal transducer, described current rectifying and wave filtering circuit connection control unit.
Adopt technique scheme, bring following beneficial effect:
(1) operating process of product of the present invention is intelligent, and user only need input personal information on intelligent terminal, can automatically complete whole testing process, and product is light, is applicable to family and uses;
(2) product of the present invention is distinguished cardiac signal and noise jamming by detecting electromyographic signal, has strengthened the reliability of testing result; Design two electrode handles and measured electrocardiosignal, strengthened operability, optimized user's experience.
Accompanying drawing explanation
Fig. 1 is system architecture diagram of the present invention.
Fig. 2 is cardiac signal processing procedure schematic diagram of the present invention.
Fig. 3 is electrocardiosignal processing procedure schematic diagram of the present invention.
Fig. 4 is electromyographic signal processing procedure schematic diagram of the present invention.
Fig. 5 is fat content signal processing schematic diagram of the present invention.
The specific embodiment
Below with reference to accompanying drawing, technical scheme of the present invention is elaborated.
System architecture diagram of the present invention as shown in Figure 1, a kind of Multiparameter system of monitoring of human health state, comprise signal gathering unit, signal processing unit, control unit, wireless transmission unit, intelligent terminal and power supply, power supply is that whole system is powered by control unit, and control unit is connected with intelligent terminal through wireless transmission unit.Described signal gathering unit comprises separate cardiac signal sensor, core signal sensor, electromyographic signal sensor and fat content signal transducer, described signal processing unit comprise separate and with aforementioned four signals collecting sensors cardiac signal processing unit one to one, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit, described cardiac signal sensor, core signal sensor, electromyographic signal sensor is connected respectively corresponding cardiac signal processing unit with fat content signal transducer, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit.Above-mentioned four signal processing units receive respectively the Human Physiology sign signal of corresponding sensor acquisition, and send signal to control unit, control unit carries out signal to send wireless transmission unit to after analog digital conversion, through wireless transmission, send data to intelligent terminal again, intelligent terminal completes final date processing and result is shown to user.In the present embodiment, wireless transmission unit adopts antenna or bluetooth module.
Cardiac signal processing procedure schematic diagram of the present invention as shown in Figure 2, cardiac signal sensor is to connect into full bridge measurement circuit by 4 resistance strain type pressure sensors, by direct voltage source, provides driving voltage.When user stands on instrument, sensor circuit can continue to obtain the ac voltage signal with direct current offset, and wherein flip-flop is produced by human bady gravitational, and alternating component is the cardiac signal that will obtain.Cardiac signal processing unit comprises preposition analog circuit, block isolating circuit, first order amplifying circuit, 50HZ trap circuit, second level amplifying circuit, low-pass filter circuit and the gain conditioned circuit connecting successively, pre-amplification circuit is used for eliminating common mode disturbances, signal is amplified simultaneously; Block isolating circuit is for filtering DC quantity; Rear class amplifying circuit has two-stage, and signal is amplified in analog-digital converter input range; Trap circuit is used for eliminating 50Hz power frequency to be disturbed; Low-pass filter circuit is used for removing radio-frequency component, retains the cardiac signal of low frequency; Gain conditioned circuit is for the voltage-regulation of actual measurement.
Electrocardiosignal processing procedure schematic diagram of the present invention as shown in Figure 3, core signal sensor adopts two electrode handles.Electrocardiosignal processing unit comprises feedback amplifier, and core signal sensor is connected with control unit through feedback amplifier.Two electrodes connect a transimpedance amplifier, and the outfan of transimpedance amplifier connects together to integrator, and the outfan of integrator is connected to the reverse input end of transimpedance amplifier through a resistance in the same way.The design of this feedback amplifier can be eliminated the low frequency wonder of outfan effectively, and like this, input common mode voltage is controlled in the permission input range of amplifying circuit.
Electromyographic signal processing procedure schematic diagram of the present invention as shown in Figure 4, electric signal sensor adopts two pairs of electrode slices.Under people's toe two electrodes connect sinusoidal wave constant current source (f=50kHz, iaC=0.1mA), under heel, two electrodes record voltage signal.Electromyographic signal processing unit comprises successively low pass filter, amplifier and the second-order bandpass filter connecting, two electrodes be connected to a low pass filter ( f3dB=100 Hz), then connect an amplifier, gain amplifier G=60dB, then signal is sent to control unit after a second-order bandpass filter (BW=20 ~ 60Hz).
Fat content signal processing schematic diagram of the present invention as shown in Figure 5, fat content signal transducer adopts two pairs of electrode slices.Pair of electrodes under people's toe connect sinusoidal wave constant current source (f=50kHz, iaC=0.1mA), a pair of utmost point utmost point under heel records voltage signal.Fat content signal processing unit comprises amplifying circuit and the current rectifying and wave filtering circuit connecting successively.Amplifying circuit disturbs and other physiological actions interference for suppressing power frequency, must have the characteristic of high input impedance, low noise, low drift; Current rectifying and wave filtering circuit, by amplified signal rectifying and wave-filtering, obtains the d. c. voltage signal being directly proportional to human body impedance.
Above embodiment only, for explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought proposing according to the present invention, and any change of doing on technical scheme basis, within all falling into protection domain of the present invention.

Claims (9)

1. the Multiparameter system of a monitoring of human health state, it is characterized in that: this system comprises signal gathering unit, signal processing unit, control unit, wireless transmission unit, intelligent terminal and power supply, power supply is that whole system is powered by control unit, and control unit is connected with intelligent terminal through wireless transmission unit, described signal gathering unit comprises separate cardiac signal sensor, core signal sensor, electromyographic signal sensor and fat content signal transducer, described signal processing unit comprise separate and with aforementioned four signals collecting sensors cardiac signal processing unit one to one, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit, described cardiac signal sensor, core signal sensor, electromyographic signal sensor is connected respectively corresponding cardiac signal processing unit with fat content signal transducer, electrocardiosignal processing unit, electromyographic signal processing unit and fat content signal processing unit.
2. the Multiparameter system of a kind of monitoring of human health state according to claim 1, is characterized in that: the full bridge measurement circuit that described cardiac signal sensor adopts four pressure transducers to form.
3. the Multiparameter system of a kind of monitoring of human health state according to claim 1 and 2, it is characterized in that: described cardiac signal processing unit comprises preposition analog circuit, block isolating circuit, first order amplifying circuit, 50HZ trap circuit, second level amplifying circuit, low-pass filter circuit and the gain conditioned circuit connecting successively, described preposition analog circuit connects the outfan of cardiac signal sensor, described gain conditioned circuit connection control unit.
4. the Multiparameter system of a kind of monitoring of human health state according to claim 1, is characterized in that: described core signal sensor adopts two electrode handles.
5. according to the Multiparameter system of a kind of monitoring of human health state described in claim 1 or 4, it is characterized in that: described electrocardiosignal processing unit comprises feedback amplifier, and core signal sensor is connected with control unit through described feedback amplifier.
6. the Multiparameter system of a kind of monitoring of human health state according to claim 1, is characterized in that: described electromyographic signal sensor adopts two pairs of electrode slices.
7. according to the Multiparameter system of a kind of monitoring of human health state described in claim 1 or 6, it is characterized in that: described electromyographic signal processing unit comprises low pass filter, amplifier and the second-order bandpass filter connecting successively, described low pass filter connects electromyographic signal sensor, described second-order bandpass filter connection control unit.
8. the Multiparameter system of a kind of monitoring of human health state according to claim 1, is characterized in that: described fat content signal transducer adopts two pairs of electrode slices.
9. according to the Multiparameter system of a kind of monitoring of human health state described in claim 1 or 8, it is characterized in that: described fat content signal processing unit comprises amplifying circuit and the current rectifying and wave filtering circuit connecting successively, described amplifying circuit connects fat content signal transducer, described current rectifying and wave filtering circuit connection control unit.
CN201310638538.0A 2013-12-04 2013-12-04 Multi-parameter identification system for monitoring human health conditions Pending CN103654742A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105796078A (en) * 2016-05-12 2016-07-27 中世泓利(北京)健康科技有限公司 Method of body physiology and motion parameter acquisition and transmission system
CN105852847A (en) * 2016-04-26 2016-08-17 胡冬硕 Heart and vital sign monitoring and analyzing system
CN106983510A (en) * 2017-04-06 2017-07-28 中国科学院深圳先进技术研究院 A kind of muscle performance measuring method and device
CN114305404A (en) * 2021-12-28 2022-04-12 乐普(北京)医疗器械股份有限公司 Radiant heat collecting and amplifying circuit and application thereof

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WO2005070289A1 (en) * 2004-01-15 2005-08-04 Koninklijke Philips Electronics, N.V. Adaptive physiological monitoring system and methods of using the same
CN2766772Y (en) * 2005-01-14 2006-03-29 孙汉钧 Human body health information monitoring sensor and apparatus thereof
CN101390747A (en) * 2008-11-06 2009-03-25 杭州海利赢医疗技术有限公司 Remote wireless network physiology multi-parameter monitoring device
CN201324241Y (en) * 2008-11-06 2009-10-14 杭州海利赢医疗技术有限公司 Remote wireless network physical multi-parameter monitor
CN201879669U (en) * 2010-09-01 2011-06-29 张辉 Human information monitoring and processing system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1387824A (en) * 2002-07-26 2003-01-01 清华大学 Alternating T-wave measuring method and device for sports electrocardiogram
WO2005070289A1 (en) * 2004-01-15 2005-08-04 Koninklijke Philips Electronics, N.V. Adaptive physiological monitoring system and methods of using the same
CN2766772Y (en) * 2005-01-14 2006-03-29 孙汉钧 Human body health information monitoring sensor and apparatus thereof
CN101390747A (en) * 2008-11-06 2009-03-25 杭州海利赢医疗技术有限公司 Remote wireless network physiology multi-parameter monitoring device
CN201324241Y (en) * 2008-11-06 2009-10-14 杭州海利赢医疗技术有限公司 Remote wireless network physical multi-parameter monitor
CN201879669U (en) * 2010-09-01 2011-06-29 张辉 Human information monitoring and processing system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105852847A (en) * 2016-04-26 2016-08-17 胡冬硕 Heart and vital sign monitoring and analyzing system
CN105796078A (en) * 2016-05-12 2016-07-27 中世泓利(北京)健康科技有限公司 Method of body physiology and motion parameter acquisition and transmission system
CN106983510A (en) * 2017-04-06 2017-07-28 中国科学院深圳先进技术研究院 A kind of muscle performance measuring method and device
CN114305404A (en) * 2021-12-28 2022-04-12 乐普(北京)医疗器械股份有限公司 Radiant heat collecting and amplifying circuit and application thereof

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Application publication date: 20140326