CN106859617A - A kind of many vital sign parameter collecting devices of Wearable and its parameter extracting method - Google Patents

A kind of many vital sign parameter collecting devices of Wearable and its parameter extracting method Download PDF

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Publication number
CN106859617A
CN106859617A CN201710115475.9A CN201710115475A CN106859617A CN 106859617 A CN106859617 A CN 106859617A CN 201710115475 A CN201710115475 A CN 201710115475A CN 106859617 A CN106859617 A CN 106859617A
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China
Prior art keywords
parameter
vital sign
module
signal
signals
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CN201710115475.9A
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Chinese (zh)
Inventor
潘赟
钟舟
钟一舟
朱怀宇
俞毕洪
韦笠
陈佳平
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Hangzhou Proton Technology Co Ltd
Zhejiang University ZJU
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Hangzhou Proton Technology Co Ltd
Zhejiang University ZJU
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Priority to CN201710115475.9A priority Critical patent/CN106859617A/en
Publication of CN106859617A publication Critical patent/CN106859617A/en
Pending legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055Simultaneously evaluating both cardiovascular condition and temperature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02444Details of sensor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118Determining activity level
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6823Trunk, e.g., chest, back, abdomen, hip
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches

Abstract

A kind of many vital sign parameter collecting devices of Wearable, including main frame, auxiliary accessories and parameter extraction terminal, main frame is worn on the chest locations of user, main frame includes System on Chip/SoC module, wireless communication module, power management module, EGC sensor, respiration rate sensor and body temperature trans, EGC sensor, respiration rate sensor and body temperature trans are connected with System on Chip/SoC module, power management module is connected with System on Chip/SoC, and System on Chip/SoC module is connected with wireless communication module;Auxiliary accessories are worn on the throat position of user, and auxiliary accessories include pulse wave sensor and motion sensor, and pulse wave sensor is connected with motion sensor with System on Chip/SoC module, and provide a kind of vital sign parameter extracting method.Feature-rich, health supervision of the invention and disease prevention and cure function preferably, parameter extraction mode system, while realizing the vital sign information collection of neck.

Description

A kind of many vital sign parameter collecting devices of Wearable and its parameter extracting method
Technical field
Set the present invention relates to vital sign parameter detection field, more particularly to a kind of many vital sign parameter collections of Wearable Standby and its parameter extracting method.
Background technology
With the progress and the continuous improvement of own health management awareness of people's living standard, the demand of routine health medical treatment Also step up, the Wearable vital sign monitoring device for monitoring Human Physiology information already turns into the heat in market and research Point.Unitary function that current Wearable vital sign monitoring device existing on the market is realized and relatively simple, is gathered Health supervision of the information also not yet to user provides the help of essence with disease prevention and cure;On the other hand, the medical institutions such as hospital The professional vital signs monitors equipment of offer generally has the inferior positions such as bulky, line is complicated, expensive, it is difficult to meet The demand of user's routine health monitoring.
Investigation finds that the form of many vital sign parameter custodial care facilities of Wearable in having applied for a patent is more single, Generally using wrist and chest as the main collection position of vital sign parameter signals.For example, Application No. 201520194294.6 Chinese patent is to disclose a kind of wearable noninvasive many vital sign monitoring devices, and the equipment is by user's wrist Main frame and be attached to the sensor accessory of chest and gather the vital sign parameter of human body, but patent content does not refer to more system Vital sign parameter extracting method.On the other hand, the neck of the human body just study hotspot as current Wearable, largely Vital sign information can by various kinds of sensors this position obtain.For example, Application No. 201620561106.3 Chinese patent is to disclose a kind of neckstrap formula throat pulse wave detection device, and the device can gather human body larynx by multiple sensors The pulse wave signal in portion is extracted for follow-up vital sign parameter.
The content of the invention
In order to overcome existing Wearable vital sign parameter collecting device unitary function, health supervision and disease prevention and cure function It is weaker, and the parameter extraction mode not defect such as system, the invention provides a kind of feature-rich, health supervision and disease prevention and cure Function preferably, parameter extraction mode system, while realize neck vital sign information collection many life entities of Wearable Levy parameter acquisition equipment and its applicable vital sign parameter extracting method.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of many vital sign parameter collecting devices of Wearable, including main frame, auxiliary accessories and parameter extraction terminal, it is described Main frame is worn on the chest locations of user, and the main frame includes System on Chip/SoC module, wireless communication module, power management mould Block, EGC sensor, respiration rate sensor and body temperature trans, the EGC sensor, respiration rate sensor and body temperature Sensor is connected with the System on Chip/SoC module, and the power management module is connected with the System on Chip/SoC module, the system System chip module is connected with the wireless communication module;The auxiliary accessories are worn on the throat position of user, the auxiliary Accessory includes pulse wave sensor and motion sensor, the pulse wave sensor and motion sensor with the System on Chip/SoC Module is connected;
The wireless communication module is connected with the parameter extraction terminal, and the parameter extraction terminal includes:For to wearing The every vital sign parameter signals for wearing many vital sign parameter collecting device collections of formula provide filtering operation, can eliminate the height in signal The filtration module of frequency noise and motion disturbance signals;Spy for identifying one-channel signal or the comprehensive characteristic information of multiple signals Levy identification module;The parameter extraction mould of vital sign parameter is extracted for the parameter computation model by every vital sign parameter Block;The filtration module is connected with the feature recognition module, and the feature recognition module is connected with the parameter extraction module.
A kind of vital sign parameter extracting method, the described method comprises the following steps:
1) signal acquisition:User dresses the main frame of many vital sign parameter collecting devices of the Wearable, auxiliary on request Help accessory, the multinomial vital sign parameter signals of many vital sign parameter collecting device continuous acquisition users of Wearable;
2) filtering process:Every vital sign parameter signals that equipment is collected by filtering process, can eliminate signal respectively In high-frequency noise and motion disturbance signals;
3) feature recognition:By the output signal after filtering process by feature recognition, one-channel signal or multiple signals are obtained Comprehensive multinomial characteristic information;
4) parameter extraction:By the parameter computation model of the every vital sign parameter of characteristic information input after feature recognition, Extract vital sign parameter.
Further, the step 1) in, the vital sign parameter signals include electrocardiosignal, pulse wave signal, respiratory wave letter Number, continuous temperature signals and motion-relating signals.
Further, the step 2) in, the characteristic for gathering every vital sign parameter signals for equipment has been selected not respectively Same filtering method, filtering method includes conventional digital filtering, wavelet transformation, adaptive-filtering and smothing filtering.
The step 3) in, the characteristic information of extraction is all kinds of characteristic points, characteristic value, or characteristic signal is interval, specific bag Include:P, Q, R, S, T peak point and QRS complex of electrocardiosignal;The crest of pulse wave signal, trough, and first derivative is most Big value point;Pulse transit time, the pulse transit speed comprehensively obtained by electrocardiosignal and pulse wave signal;By respiratory wave signal The crest value point of acquisition;By the body temperature characteristic point of continuous body temperature signal acquisition;And all kinds of fortune obtained by motion-relating signals Dynamic characteristic point;
Characteristic recognition method includes signal extreme value method of identification, signal slope method of identification, threshold value diagnostic method, signal first derivative Method, simple two-way signal reference point time difference calculating method, signal wave crest method of identification and human body behavior layering method of identification.
The step 4) in, the vital sign parameter include heart rate, pulse frequency, blood oxygen saturation, respiratory rate, body temperature, Continuous arterial pressure and movable information;Parameter computation model use parameter extracting method include characteristic point frequency counting method, Linear regression model (LRM) method, direct parameter method of reading and machine learning method.
Beneficial effects of the present invention are mainly manifested in:By many vital sign parameter collecting device precise acquisition people of Wearable Various vital sign parameter signals of body, including electrocardiosignal, pulse wave signal, respiratory wave signal, continuous temperature signals, and motion Coherent signal;Simultaneously by vital sign parameter extracting method, realize heart rate, pulse frequency, blood oxygen saturation, respiratory rate, body temperature, The accurate extraction of the multinomial vital sign parameters such as continuous arterial pressure, movable information;Present device wears light comfortable, cooperation The application program of intelligent movable equipment end is easy to operate, and the every vital sign parameter extracted by parameter extracting method is accurate, Alternative traditional vital sign parameter custodial care facility on the basis of user's daily routines is not influenceed.
Brief description of the drawings
Fig. 1 is the structural representation of many vital sign parameter collecting devices of Wearable;
Fig. 2 is the schematic flow sheet of many vital sign parameter extracting methods.
In figure:1st, main frame;2nd, auxiliary accessories;3rd, parameter extraction terminal;11st, System on Chip/SoC module;12nd, radio communication mold Block;13rd, power management module;14th, EGC sensor;15th, respiration rate sensor;16th, body temperature trans;21st, pulse wave sensing Device;22nd, motion sensor;31st, filtration module;32nd, feature recognition module;33rd, parameter extraction module.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
Reference picture 1, a kind of many vital sign parameter collecting devices of Wearable, including main frame 1, auxiliary accessories 2 and parameter Extract terminal 3.Main frame 1 is worn on the chest locations of user, and System on Chip/SoC module 11, wireless communication module is included inside it 12nd, power management module 13, EGC sensor 14, respiration rate sensor 15, and body temperature trans 16.Auxiliary accessories 2 are worn In the throat position of user, pulse wave sensor 21 and motion sensor 22 are included inside it.Parameter extraction terminal 3 and master The wireless communication module 12 of machine 1 realizes data communication, and it is internal including filtration module 31, feature recognition module 32, and parameter Extraction module 33.
In the present embodiment, many vital sign parameter collecting devices of Wearable can gather the multinomial vital sign of user Signal, including electrocardiosignal, pulse wave signal, respiratory wave signal, continuous temperature signals, and motion-relating signals, other with Human Physiology information is related and can should also be as being included in the middle of the present invention in the vital sign parameter signals of chest and throat's station acquisition.
In the present embodiment, the System on Chip/SoC module 11 turns to be integrated with microprocessor, microcontroller, memory, modulus The on-chip system chip of the elements such as parallel operation, be made up of above-mentioned all or part of discrete component with the phase of System on Chip/SoC module 11 The module scheme of congenerous should also be as being included in the middle of the present invention.
In the present embodiment, the wireless communication module 12 is directly connected to System on Chip/SoC module 11, while realizing and parameter The radio communication of terminal 3 is extracted, the multinomial vital sign parameter signals that can be collected equipment are sent to parameter extraction terminal 3.Wirelessly Communication module can be communicated using Blue-tooth communication method, also can using near-field communication, IEEE802.11a/b/g/n, The communication modes such as IEEE802.15/16, GSM/GPRS or CDMA/WCDMA/CDMA2000/TDS-CDMA, other can be real certainly The mode of existing radio communication should also be as being included in the middle of the present invention.
In the present embodiment, the power management module 13 can power for System on Chip/SoC module 11, while or main frame 1 with All active components in auxiliary accessories 2 are powered.Power management module 13 contains battery and power management chip, the battery Can be button cell, dry cell, rechargeable lithium ion batteries, fuel cell or photocell, the power management chip can be line Property voltage-stablizer or DC-DC power source conversion device, other can realize that the module design of power management should also be as being included in the present invention It is central.
In the present embodiment, the EGC sensor 14, respiration rate sensor 15, body temperature trans 16, pulse wave sensor 21, and motion sensor 22 can be the active or passive sensor element with vital sign parameter signals acquisition function.Wherein The EGC sensor 14 can be all kinds of electrocardiosignal electrodes;The respiration rate sensor 15 can for monitoring of respiration pectoral girdle or other Various kinds of sensors, also can indirectly extract respiratory rate by electrocardiosignal or pulse wave signal;The body temperature trans 16 is temperature-sensitive electricity Resistance or other kinds sensor;The pulse wave sensor 21 is photoelectricity volumetric sensor or other kinds sensor;It is described Motion sensor 22 may include three axis accelerometer, three-axis gyroscope, magnetic sensor in interior discrete or integrated component, with And other can gather the sensor element for obtaining motor message.
In the present embodiment, the parameter extraction terminal 3 can be the intelligent movable equipment such as smart mobile phone, panel computer, also may be used It is the conventional terminal equipments such as personal computer, server.Parameter extraction terminal 3 can realize the reception of vital sign parameter signals, signal The functions such as the real-time display of waveform and extracting parameter, signal and the storage of supplemental characteristic, and with the wireless communication module reality of main frame 1 Existing data communication;The inside of parameter extraction terminal 3 includes filtration module 31, feature recognition module 32, parameter extraction module 33 3 Functional module, to realize the function by extracting every vital sign parameter in vital sign parameter signals.The filtration module 31 can disappear Other introduced except high-frequency noise and motion disturbance signals in primitive life sign, and in user's daily routines are made an uproar Acoustical signal.The vital sign parameter signals that the feature recognition module 32 can be exported by filtration module 31 extract all kinds of characteristic points, feature Value, or the characteristic information such as characteristic signal interval.In the present embodiment, the parameter extraction module 33 can be defeated in feature recognition module 32 Go out on the basis of provided characteristic information, by the parameter computation model of every vital sign parameter, extract vital sign parameter, And then realize continuous real-time monitoring.
A kind of reference picture 2, vital sign parameter extracting method coordinates many vital sign parameter collecting devices of Wearable To realize, it is necessary to successively corresponding to obtain by signal acquisition, filtering process, feature recognition, and four steps of parameter extraction Every vital sign parameter.
The vital sign parameter extracting method, can extract and continuous monitoring heart rate, pulse frequency, blood oxygen saturation, breathing The multinomial vital sign parameters such as rate, body temperature, continuous arterial pressure, movable information.
In the present embodiment, the signal acquisition process is:User dresses many vital sign ginsengs of the Wearable on request Number collecting devices, will main frame be worn on the chest locations of user, auxiliary accessories be worn on the throat position of user, lead to Cross the multinomial vital sign parameter signals of many vital sign parameter collecting device continuous acquisition users of Wearable;Including electrocardiosignal, Pulse wave signal, respiratory wave signal, continuous temperature signals, motion-relating signals etc..
In the present embodiment, the filter process is:To each of many vital sign parameter collecting device collections of Wearable Item vital sign parameter signals provide signal filtering operation, including electrocardiosignal, pulse wave signal, respiratory wave signal, continuous body temperature letter Number, motion-relating signals etc..The module can eliminate the high-frequency noise and motion disturbance signals in primitive life sign, and Other noise signals introduced in user's daily routines.Other should also be as bag with the signal processing method of the module equivalent efficacy It is contained in the middle of the present invention.
In the present embodiment, the feature recognition process is:Identify that single channel is believed on the basis of filtration module output signal Number, or the characteristic information such as multiple signals comprehensive characteristic point, characteristic value, characteristic signal interval, so that subsequent module extracts every Vital sign parameter.The signal characteristic that the module is identified includes:P, Q, R, S, T peak point and QRS wave of electrocardiosignal Group;The crest of pulse wave signal, trough, and first derivative maximum of points;Comprehensively obtained by electrocardiosignal and pulse wave signal Pulse transit time, pulse transit speed;By the crest value point of respiratory wave signal acquisition;By the body of continuous body temperature signal acquisition Wyntet's sign point;And all kinds of motion feature points obtained by motion-relating signals.All kinds of spies that other modules can be identified Levy and a little should also be as being included in the middle of the present invention with characteristic parameter.
In the present embodiment, the parameter extraction process is:The basis of characteristic information is provided in feature recognition module output On, by the parameter computation model of every vital sign parameter, extract vital sign parameter.The module can extract heart rate, pulse The multinomial vital sign parameters such as rate, blood oxygen saturation, respiratory rate, body temperature, continuous arterial pressure, movable information, so realize it is right The continuous real-time monitoring of above-mentioned every vital sign parameter.Every vital sign parameter that other modules can be extracted should also be as It is included in the middle of the present invention.
In the present embodiment, the filtering process is realized by filtration module, for the characteristic of every vital sign parameter signals, Different filtering methods have been selected respectively.For example, for electrocardiosignal using conventional digital filtering, wavelet transformation, self adaptation filter The synthesis of the methods such as ripple, the method that conventional digital filtering and wavelet transformation are employed for pulse wave signal, for respiratory wave letter Number method for employing wavelet transformation and smothing filtering, smooth filter is employed for continuous temperature signals and motion-relating signals The method of ripple.Other module can be adopted signal filtering methods should also be as being included in the middle of the present invention.
In the present embodiment, the feature recognition process is realized using feature recognition module, employs various features identification Method is recognizing the characteristic information in vital sign parameter signals.For example, signal extreme value method of identification for electrocardiosignal characteristic information, Signal slope method of identification, and threshold value diagnostic method;Signal extreme value method of identification, signal single order for pulse wave signal characteristic information are led Number method, and simple two-way signal reference point time difference calculating method;For the crest method of identification of respiratory wave signal characteristic information;For continuous The extreme value method of identification and threshold value diagnostic method of temperature signals;And for the human body behavior layering method of identification of motion-relating signals.Its He should also be as being included in the middle of the present invention module can be adopted characteristic recognition method.
In the present embodiment, the parameter extraction process is realized using parameter extraction module, employs many kinds of parameters extraction Method is obtaining every vital sign parameter.For example, for heart rate, pulse frequency, the characteristic point frequency counting method of respiratory rate parameter, The number of times that periodic feature point occurs in signal i.e. in the statistical unit time;For the line of blood oxygen saturation and continuous arterial pressure Property regression model method;For the direct-reading methods of body temperature;And for the machine learning method of movable information.Other module institutes The different parameters extracting method for a certain vital sign parameter that can be used should also be as being included in the middle of the present invention.
Embodiment of above is merely to illustrate the present invention, rather than limitation of the present invention.Although with reference to embodiment to this hair It is bright to be described in detail, it will be understood by those within the art that, technical scheme is carried out various combinations, Modification or equivalent, without departure from the spirit and scope of technical solution of the present invention, all should cover will in right of the invention Ask in the middle of scope.

Claims (6)

1. many vital sign parameter collecting devices of a kind of Wearable, it is characterised in that:The equipment include main frame, auxiliary accessories and Parameter extraction terminal, the main frame is worn on the chest locations of user, and the main frame includes System on Chip/SoC module, radio communication Module, power management module, EGC sensor, respiration rate sensor and body temperature trans, the EGC sensor, respiratory rate Sensor and body temperature trans are connected with the System on Chip/SoC module, the power management module and the System on Chip/SoC mould Block is connected, and the System on Chip/SoC module is connected with the wireless communication module;The auxiliary accessories are worn on the throat of user Position, the auxiliary accessories include pulse wave sensor and motion sensor, and the pulse wave sensor is equal with motion sensor It is connected with the System on Chip/SoC module;
The wireless communication module is connected with the parameter extraction terminal, and the parameter extraction terminal includes:For to Wearable Every vital sign parameter signals of many vital sign parameter collecting device collections provide filtering operation, and the high frequency that can be eliminated in signal is made an uproar The filtration module of sound and motion disturbance signals;For identifying that one-channel signal or the feature of the comprehensive characteristic information of multiple signals are known Other module;The parameter extraction module of vital sign parameter is extracted for the parameter computation model by every vital sign parameter; The filtration module is connected with the feature recognition module, and the feature recognition module is connected with the parameter extraction module.
2. the parameter extracting method that a kind of many vital sign parameter collecting devices of Wearable as claimed in claim 1 are realized, its It is characterised by:The described method comprises the following steps:
1) signal acquisition:User dresses the main frame of many vital sign parameter collecting devices of the Wearable, auxiliary and matches somebody with somebody on request Part, the multinomial vital sign parameter signals of many vital sign parameter collecting device continuous acquisition users of Wearable;
2) filtering process:Every vital sign parameter signals that equipment is collected respectively by filtering process, in can eliminating signal High-frequency noise and motion disturbance signals;
3) feature recognition:By the output signal after filtering process by feature recognition, one-channel signal or multiple signals synthesis are obtained Multinomial characteristic information;
4) parameter extraction:By the parameter computation model of the every vital sign parameter of characteristic information input after feature recognition, extract Vital sign parameter.
3. parameter extracting method as claimed in claim 2, it is characterised in that:The step 1) in, the vital sign parameter signals Including electrocardiosignal, pulse wave signal, respiratory wave signal, continuous temperature signals and motion-relating signals.
4. parameter extracting method as claimed in claim 2 or claim 3, it is characterised in that:The step 2) in, it is each for equipment collection The characteristic of item vital sign parameter signals has selected different filtering methods, filtering method to become including conventional digital filtering, small echo respectively Change, adaptive-filtering and smothing filtering.
5. parameter extracting method as claimed in claim 2 or claim 3, it is characterised in that:The step 3) in, the characteristic information of extraction For all kinds of characteristic points, characteristic value or characteristic signal are interval, including:P, Q, R, S, T peak point and QRS complex of electrocardiosignal; The crest of pulse wave signal, trough, and first derivative maximum of points;The arteries and veins comprehensively obtained by electrocardiosignal and pulse wave signal Fight transmission time, pulse transit speed;By the crest value point of respiratory wave signal acquisition;Body temperature by continuous body temperature signal acquisition is special Levy a little;And all kinds of motion feature points obtained by motion-relating signals;
Characteristic recognition method include signal extreme value method of identification, signal slope method of identification, threshold value diagnostic method, signal First derivative spectrograply, Simple two-way signal reference point time difference calculating method, signal wave crest method of identification and human body behavior layering method of identification.
6. parameter extracting method as claimed in claim 2 or claim 3, it is characterised in that:The step 4) in, the vital sign ginseng Number includes heart rate, pulse frequency, blood oxygen saturation, respiratory rate, body temperature, continuous arterial pressure and movable information;Parameter calculates mould The parameter extracting method that type is used includes characteristic point frequency counting method, linear regression model (LRM) method, direct parameter method of reading and machine Device learning method.
CN201710115475.9A 2017-03-01 2017-03-01 A kind of many vital sign parameter collecting devices of Wearable and its parameter extracting method Pending CN106859617A (en)

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