CN108634968A - health monitoring system and method - Google Patents

health monitoring system and method Download PDF

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Publication number
CN108634968A
CN108634968A CN201810387015.6A CN201810387015A CN108634968A CN 108634968 A CN108634968 A CN 108634968A CN 201810387015 A CN201810387015 A CN 201810387015A CN 108634968 A CN108634968 A CN 108634968A
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information
gateway device
abnormal conditions
sensor
physical signs
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曾光
刘奇玮
张祺
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Shenzhen City Technology Co Ltd
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Shenzhen City Technology Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • 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
    • A61B5/002Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • 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
    • 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
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection
    • 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
    • A61B5/6802Sensor mounted on worn items
    • 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
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • 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
    • A61B5/02405Determining heart rate variability
    • 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

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
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  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Cardiology (AREA)
  • Evolutionary Computation (AREA)
  • Dentistry (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
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  • Social Psychology (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The present invention is suitable for health monitoring field, discloses a kind of health monitoring system and method, the system include:Server, the first gateway device, the second gateway device, wearable device and sensor;Sensor acquires first sensor information, is sent to the second gateway device;Second gateway device obtains the first physical signs information, psychological indicator information and the first abnormal conditions information according to first sensor information, and server is sent to by the first gateway device;The second sensor information of the monitored object of wearable device acquisition, is periodically sent to the first gateway device;Wearable device generates the second abnormal conditions information according to second sensor information, is sent to the first gateway device in real time;First gateway device sends second sensor information and the second abnormal conditions information to server;Server obtains third abnormal conditions information according to the information of reception, and is sent to designated terminal.The present invention can carry out overall monitor to health, and the electric quantity consumption of wearable device is relatively low.

Description

Health monitoring system and method
Technical field
The invention belongs to health monitoring technique field more particularly to a kind of health monitoring system and methods.
Background technology
With the improvement of living standards, people increasingly pay attention to health, especially to the health of old man.And it is existing strong Health monitoring system is to provide the monitoring to certain physical signs by the way of the bluetooth watch and smart mobile phone pairing, this strong On the one hand health monitoring system is only to provide the monitoring to certain physical signs, not comprehensive to the monitoring of health, another aspect watch It is communicated by bluetooth, power consumption is than more serious.
Invention content
In view of this, an embodiment of the present invention provides a kind of health monitoring system and method, supervised with solving existing health Control system is to the problem that health monitoring is not comprehensive and power consumption is serious.
The first aspect of the embodiment of the present invention provides a kind of health monitoring system, including:Server, the first gateway are set Standby, the second gateway device, wearable device and sensor;
Sensor is connect with the second gateway device, and the second gateway device is connect with the first gateway device, the first gateway device It is connect with server, wearable device is established with predetermined manner and the first gateway device and connected;
Sensor acquires first sensor information, and sends first sensor information to the second gateway device;Second gateway Equipment obtains the first physical signs information, psychological indicator information and the first exception of monitored object according to first sensor information Situation information, and send the first physical signs information, psychological indicator information and the first abnormal conditions information to the first gateway device; First gateway device sends the first physical signs information, psychological indicator information and the first abnormal conditions information to server;
The second sensor information of the monitored object of wearable device acquisition, and the second sensing is sent with predetermined manner timing Device information is to the first gateway device;Whether wearable device has abnormal conditions according to second sensor infomation detection, if inspection Abnormal conditions are measured, then generate the second abnormal conditions information, and send the second abnormal conditions information in real time with predetermined manner To the first gateway device;First gateway device sends second sensor information and the second abnormal conditions information to server;
Server is according to the first physical signs information, psychological indicator information, the first abnormal conditions information, the second abnormal conditions Information obtains third abnormal conditions information, and sends third abnormal conditions information to designated terminal.
The second aspect of the embodiment of the present invention provides a kind of health monitoring method based on above-mentioned health monitoring system, packet It includes:
Sensor acquires first sensor information, and sends first sensor information to the second gateway device;Second gateway Equipment obtains the first physical signs information, psychological indicator information and the first exception of monitored object according to first sensor information Situation information, and send the first physical signs information, psychological indicator information and the first abnormal conditions information to the first gateway device; First gateway device sends the first physical signs information, psychological indicator information and the first abnormal conditions information to server;
The second sensor information of the monitored object of wearable device acquisition, and the second sensing is sent with predetermined manner timing Device information is to the first gateway device;Whether wearable device has abnormal conditions according to second sensor infomation detection, if inspection Abnormal conditions are measured, then generate the second abnormal conditions information, and send the second abnormal conditions information in real time with predetermined manner To the first gateway device;First gateway device sends second sensor information and the second abnormal conditions information to server;
Server is according to the first physical signs information, psychological indicator information, the first abnormal conditions information, the second abnormal conditions Information obtains third abnormal conditions information, and sends third abnormal conditions information to designated terminal.
Existing advantageous effect is the embodiment of the present invention compared with prior art:The embodiment of the present invention passes through sensor and can Wearable device acquires information, and according to the information of acquisition obtain physical signs information, the psychological indicator information of monitored object with And abnormal conditions information, the function that overall monitor is carried out to the health for the object that is monitored may be implemented;The embodiment of the present invention passes through Wearable device acquisition be monitored object second sensor information, and with predetermined manner timing send second sensor information to First gateway device, whether wearable device has abnormal conditions according to second sensor infomation detection, if detecting exception It happens, then generates the second abnormal conditions information, and send the second abnormal conditions information to the first net in real time with predetermined manner Equipment is closed, the first gateway device sends second sensor information and the second abnormal conditions information to server, and both can guarantee can wear Equipment is worn when occurring extremely, is reported to server in time, and can save electricity when not having abnormal, reach power saving Purpose;The embodiment of the present invention is believed by server according to the first physical signs information, psychological indicator information, the first abnormal conditions Breath, the second abnormal conditions information obtain third abnormal conditions information, and send third abnormal conditions information to designated terminal, can be with Make the family members of monitored object or monitored object or the health condition of the monitored object of medical service organ understanding in time.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some Embodiment for those of ordinary skill in the art without having to pay creative labor, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 is the schematic block diagram for the health monitoring system that one embodiment of the invention provides;
Fig. 2 is the implementation process for the health monitoring method based on above-mentioned health monitoring system that one embodiment of the invention provides Schematic diagram.
Specific implementation mode
In being described below, for illustration and not for limitation, it is proposed that such as tool of particular system structure, technology etc Body details, so as to provide a thorough understanding of the present application embodiment.However, it will be clear to one skilled in the art that there is no these specific The application can also be realized in the other embodiments of details.In other situations, it omits to well-known system, device, electricity The detailed description of road and method, so as not to obscure the description of the present application with unnecessary details.
It should be appreciated that ought use in this specification and in the appended claims, the instruction of term " comprising " is described special Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step, Operation, element, component and/or its presence or addition gathered.
It is also understood that the term used in this present specification is merely for the sake of the mesh for describing specific embodiment And be not intended to limit the application.As present specification and it is used in the attached claims, unless on Other situations are hereafter clearly indicated, otherwise " one " of singulative, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is Refer to any combinations and all possible combinations of one or more of associated item listed, and includes these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or " if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Fig. 1 is that the schematic block diagram for the health monitoring system that one embodiment of the invention provides illustrates only for convenience of description With the relevant part of the embodiment of the present invention.
As shown in Figure 1, the health monitoring system 1 includes:Server 11, the first gateway device 12, the second gateway device 13, Wearable device 14 and sensor 15;
Sensor 15 is connect with the second gateway device 13, and the second gateway device 13 is connect with the first gateway device 12, and first Gateway device 12 is connect with server 11, and wearable device 14 is established with predetermined manner and the first gateway device 12 and connected;
Sensor 15 acquires first sensor information, and sends first sensor information to the second gateway device 13;Second Gateway device 13 obtains the first physical signs information of monitored object, psychological indicator information and the according to first sensor information One abnormal conditions information, and send the first physical signs information, psychological indicator information and the first abnormal conditions information to the first net Close equipment 12;First gateway device 12 send the first physical signs information, psychological indicator information and the first abnormal conditions information to Server 11;
The second sensor information of the monitored object of the acquisition of wearable device 14, and send second with predetermined manner timing and pass Sensor information is to the first gateway device 12;Whether wearable device 14 has abnormal conditions hair according to second sensor infomation detection It is raw, if detecting abnormal conditions, the second abnormal conditions information is generated, and send the second abnormal feelings in real time with predetermined manner Condition information is to the first gateway device 12;First gateway device 12 sends second sensor information and the second abnormal conditions information to clothes Business device 11;
Server 11 is according to the first physical signs information, psychological indicator information, the first abnormal conditions information, the second abnormal feelings Condition information obtains third abnormal conditions information, and sends third abnormal conditions information to designated terminal.
In embodiments of the present invention, server 11 is health control platform, can be the server disposed beyond the clouds, can be with Carry out data analysis, operation management etc..First gateway device 12 can be application layer gateway equipment, and application layer gateway equipment can To be the server disposed beyond the clouds, the server and server 11 can be identical servers, can also be two differences Server.Second gateway device 13 can be edge calculations gateway device, can be deployed in the same space with sensor 15, Such as second gateway device 13 and sensor 15 be deployed in the habitual residence of monitored object, the deployment of sensor 15 will ensure If monitored object in the habitual residence, can monitor monitored object at any time.Wearable device 14 can be intelligence Bracelet is worn by monitored object.Designated terminal can be the terminal of monitored object, can be monitored object man The terminal of category can be the terminal of medical service organ, can be the terminal of public security organ.Family members can recognize in time to be supervised The health condition of object is controlled, and corresponding measure is taken according to the abnormal conditions received;Medical service organ can be according to connecing The abnormal conditions information offer received is made house calls.
As further embodiment of this invention, sensor 15 includes video capture device, audio collecting device and infrared sensing Device;First sensor information includes video information, audio-frequency information and thermograph;
Sensor 15 acquires first sensor information, including:
Video capture device acquire video information, audio collecting device acquire audio-frequency information, infrared sensor acquisition heat at As figure;
Second gateway device 13 obtains the first physical signs information, the psychology of monitored object according to first sensor information Indication information and the first abnormal conditions information, including:
Second gateway device 13 is according to video information, the gender of the monitored object of thermograph acquisition, age, the first physiology Indication information, micro- expression information and micro- action message, and audio-frequency information is converted into text message;
Second gateway device 13 is according to gender, age, the first physical signs information, micro- expression information, micro- action message, sound Frequency information and text message obtain the psychological indicator information of monitored object;
Second gateway device 13 obtains the first abnormal conditions according to video information and/or audio-frequency information and/or thermograph Information.
The first physical signs information, the heart of monitored object are obtained according to first sensor information in the second gateway device 13 After managing indication information and the first abnormal conditions information, further include:
Second gateway device 13 determines the position that the first abnormal conditions information occurs according to the first abnormal conditions information, and controls Sensor 15 processed acquires the 3rd sensor information of the position;
The 3rd sensor information of acquisition is sent to the second gateway device 13 by sensor 15;
3rd sensor information is sent to the first gateway device 12 by the second gateway device 13;
3rd sensor information is sent to server 11 by the first gateway device 12;
3rd sensor information is sent to designated terminal by server 11.
In embodiments of the present invention, video capture device can be any equipment for shooting video, video capture device The video pictures for recording be monitored object and its ambient enviroment, obtain video information;Audio collecting device can be any adopts Collect the equipment of audio, audio collecting device records the be monitored voice of object and the sound of ambient enviroment, obtains audio-frequency information; Infrared sensor is the sensor of the thermograph of the body thermograph and its ambient enviroment that can acquire monitored object.Separately Outside, the information that sensor 15 acquires under normal circumstances is known as first sensor information, the letter that will be acquired by sensor 15 It ceases obtained physical signs information and is known as the first physical signs information.By the second gateway device 13 according to the first abnormal conditions information The information that control sensor 15 acquires is known as 3rd sensor information.First abnormal conditions information includes the first tumble information, will The tumble information obtained by video information and/or audio-frequency information is known as the first tumble information.First abnormal conditions information may be used also To include the contingencies information such as blast information, fire information.Second gateway device 13 may be used it is any it is existing can basis Video information and/or audio-frequency information and/or the thermograph detect whether that the method fallen obtains the first tumble information, such as The methods of deep learning algorithm, optical flow method, human body attitude detection may be used.Second gateway device 13 may be used any existing Can be detected whether according to video information and/or audio-frequency information and/or the thermograph explosion, the contingencies such as fire occur Method obtain the contingencies information such as blast information, fire information.Second gateway device 13 may be used it is any it is existing can The method for text is converted the audio into, audio-frequency information is converted into text message.
First abnormal conditions packet contains the position of abnormal conditions generation, and the second gateway device 13 control sensor 15 is adopted Collect the information of the position, i.e. 3rd sensor information, and 3rd sensor information is sent to clothes by the first gateway device 12 Business device 11,3rd sensor information and the abnormal conditions information are sent collectively to designated terminal by server 11, in order to hold The user of the designated terminal can recognize the specific situation of the abnormal conditions information in time.
In embodiments of the present invention, it is connect using non-by video capture device, audio collecting device and infrared sensor etc. Whether tactile mode can monitor the physical signs of monitored object, psychological indicator and fall, whether have contingency Etc. abnormal conditions.
As further embodiment of this invention, the first physical signs information includes heart rate, heart rate variability, beating interval (Inter Beat Interval, IBI), blood pressure, blood oxygen concentration, skin resistance variation and body temperature;
Second gateway device 13 is according to video information, the gender of the monitored object of thermograph acquisition, age, the first physiology Indication information, micro- expression information and micro- action message, including:
Second gateway device 13 obtains the gender for the object that is monitored, age according to video information;
Second gateway device 13 obtains heart rate, heart rate variability, blood oxygen concentration, the blood for the object that is monitored according to video information Buckling, and according to the beating interval of the monitored object of heart rate acquisition;
The skin resistance that second gateway device 13 obtains the object that is monitored according to video information changes;
Second gateway device 13 obtains the body temperature for the object that is monitored according to thermograph;
Second gateway device 13 obtains the micro- expression information for the object that is monitored and micro- action message according to video information.
In embodiments of the present invention, dense according to the heart rate of the monitored object of video information acquisition, heart rate variability, blood oxygen Degree, blood pressure, and according to the beating interval of the monitored object of heart rate acquisition, including:
According to video information choose be monitored object face-image region come detect monitored object breathing when The changing rule of capillary injection obtains heart rate, heart rate variability and the blood oxygen concentration of the object that is monitored according to changing rule, And the beating interval for the object that is monitored is obtained according to heart rate;
The phase difference that the human body blood flow velocity for the object that is monitored is obtained according to video information, obtains according to phase difference The blood pressure of monitored object.
Wherein, the beating interval for the object that is monitored being obtained according to heart rate is specially:60 divided by heart rate obtain beating interval.
The skin resistance variation for the object that is monitored is obtained according to video information, including:
Be monitored two images of the skin area to be measured of object according to acquiring video information, and is obtained according to two images The skin resistance variation of monitored object, two images are the image of different time points, one of them time point is current time.
Wherein it is specially according to the skin resistance variation of two monitored objects of images acquisition:Two images are subjected to color Space is converted to transformed two images, according to the parameter information that transformed two images carry, determines skin to be measured The reflectivity changes situation in region, and determine according to reflectivity changes situation the perspiration situation of change of skin area to be measured, according to Perspiration situation of change obtains skin resistance variation.Wherein, the parameter information of carrying includes in form and aspect, brightness, lightness and saturation degree At least one.
The micro- expression information for the object that is monitored and micro- action message are obtained according to video information, including:
Be monitored the minor change of the face of object according to acquiring video information, and obtains quilt according to the minor change of face Micro- expression information of monitored object;
Be monitored the minor motion of object according to acquiring video information, and minor motion is amplified to and detected the rule of minor motion Rule obtains the micro- action message for the object that is monitored according to the rule of minor motion.
In embodiments of the present invention, sensor 15 can also include Skin resistance sensor, and first sensor information may be used also To include skin resistance information.The skin resistance information of the monitored object of Skin resistance sensor acquisition, and send skin resistance To the second gateway device 13, the second gateway device 13 is monitored the skin pricktest resistive of object information according to skin resistance information acquisition Change.The skin of object that is, the second gateway device 13 can be monitored according to video information or skin resistance information acquisition Resistance variations.
As further embodiment of this invention, psychological indicator information includes nervous index;
Second gateway device 13 is according to gender, age, the first physical signs information, micro- expression information, micro- action message, sound Frequency information and text message obtain the psychological indicator information of monitored object, including:
Second gateway device 13 is by gender, age and the first physical signs information input to the first deep learning network model In, obtain the first potency, the first wake-up degree and the first likability;
Second gateway device 13 makees micro- expression information and fine motion in information input to the second deep learning network model, obtains Obtain the second potency, the second wake-up degree and the second likability;
Audio-frequency information is input in third deep learning network model by the second gateway device 13, obtains third potency, the Three wake-up degree and third likability;
Text message is input in the 4th deep learning network model by the second gateway device 13, obtains the 4th potency, the Four wake-up degree and the 4th likability;
Second gateway device 13 according to the first potency, the first wake-up degree, the first likability, and/or, the second potency, second Wake-up degree, the second likability, and/or, third potency, third wake-up degree, third likability, and/or, the 4th potency, the 4th call out Awake degree, the 4th likability, obtain target potency, target wake-up degree and target likability, and according to target potency, target wake-up degree With target likability, the nervous index for the object that is monitored is obtained;Or,
Second gateway device 13 according to the first potency, the first wake-up degree, and/or, the second potency, the second wake-up degree, and/ Or, third potency, third wake-up degree, and/or, the 4th potency, the 4th wake-up degree obtain target potency and target wake-up degree, and According to target potency and target wake-up degree, the nervous index for the object that is monitored is obtained.
Wherein, the first deep learning network model, the second deep learning network model, third deep learning network model, 4th deep learning network model is all based on the deep learning network model model of shot and long term memory network.First deep learning Network model is can to obtain the first potency, the first wake-up degree and the first good opinion by gender, age and the first physical signs information The deep learning network model of degree;Second deep learning network model is that can be obtained by micro- expression information and micro- action message The deep learning network model of two potency, the second wake-up degree and the second likability;Third deep learning network model is can be by Audio-frequency information obtains the deep learning network model of third potency, third wake-up degree and third likability;4th deep learning net Network model be can be obtained by text message the 4th potency, the 4th wake-up degree and the 4th likability deep learning network model.
According to the first potency, the first wake-up degree, the first likability, and/or, the second potency, the second wake-up degree, the second good opinion Degree, and/or, third potency, third wake-up degree, third likability, and/or, the 4th potency, the 4th wake-up degree, the 4th likability, Obtain target potency, target wake-up degree and target likability, Ke Yishi, by the first potency, the first wake-up degree, the first likability, And/or second potency, the second wake-up degree, the second likability, and/or, third potency, third wake-up degree, third likability, and/ Or, the 4th potency, the 4th wake-up degree, the 4th likability are input in the 5th deep learning network model, target potency, mesh are obtained Mark wake-up degree and target likability.5th deep learning network model can be to the first deep learning network model and/or second Deep learning network model and/or the output valve of third deep learning network model and/or the 4th deep learning network model into Row processing, obtains target potency, target wake-up degree and target likability, and illustratively, which can be weighted average processing. Wherein, the 5th deep learning network model can be confrontation neural network model.
According to the first potency, the first wake-up degree, and/or, the second potency, the second wake-up degree, and/or, third potency, third Wake-up degree, and/or, the 4th potency, the 4th wake-up degree obtain target potency and target wake-up degree, Ke Yishi, by the first potency, First wake-up degree, and/or, the second potency, the second wake-up degree, and/or, third potency, third wake-up degree, and/or, quadruple effect Valence, the 4th wake-up degree are input in the 6th deep learning network model, obtain target potency and target wake-up degree.6th depth The first potency, the first wake-up degree that network model can be to input are practised, and/or, the second potency, the second wake-up degree, and/or, the Three potency, third wake-up degree, and/or, the 4th potency, the 4th wake-up degree are handled, and target potency and target wake-up degree are obtained, Illustratively, which can be weighted average processing.Wherein, the 6th deep learning network model can also be confrontation nerve net Network model.
Potency (valence) indicates the positive and negative property of mood, is the assessment to mood attribute;Wake-up degree (arousal) indicates Mood physiological activation level and alertness;Likability (likability) expression is liked or is not liked, for example one section of viewing regards Frequently, the object that is monitored is liked or is not liked to the video.
Potency, wake-up degree and likability can form a three dimensional mood space, and potency is X-axis, and wake-up degree is Y-axis, good Sensitivity is Z axis.Target potency, target wake-up degree and target likability are expressed as a point in three dimensional mood space, according to this A o'clock distance to the first default nervous region can obtain the nervous index of monitored object, and nervous index is higher, show by Measurement object is more nervous.
Illustratively, the first default nervous region can be ranging from -85 to-the 75 of potency, ranging from the 75 of degree of wake-up To 85, ranging from-the 5 to 5 of likability, the region of the range composition of potency, wake-up degree and likability is the first default nervous area Domain.The correspondence of the first distance and nervous index is prestored in second gateway device 13, the first distance refers to target potency, mesh Mark wake-ups degree and target likability indicated in three dimensional mood space o'clock to the first default anxiety region distance, according to this away from From and first with a distance from correspondence with nervous index, the nervous index of monitored object can be obtained.
Similarly, potency and wake-up degree can form a two-dimensional mood space, and potency is X-axis, and wake-up degree is Y-axis.Target Potency and target wake-up degree are expressed as a point in two-dimensional mood space, according to this o'clock to the distance in the second default nervous region The nervous index of monitored object can be obtained, nervous index is higher, shows that measured object is more nervous.
Illustratively, the second default nervous region can be ranging from -85 to-the 75 of potency, ranging from the 75 of degree of wake-up To 85, nervous region is preset in potency and the region of the range composition of wake-up degree for second.Is prestored in second gateway device 13 The correspondence of two distances and nervous index, second distance refer to target potency and target wake-up the degree table in two-dimensional mood space The distance o'clock to the second default nervous region shown can according to the distance and the correspondence of second distance and anxiety index To obtain the nervous index of monitored object.
As further embodiment of this invention, sensor 15 can also include eeg sensor, and first sensor can also wrap Brain wave information is included, psychological indicator information can also include being absorbed in index, index interested, excited index.Eeg sensor is adopted The brain wave information of the monitored object of collection, sends brain wave information to the second gateway device 13, the second gateway device 13 is according to brain Wave information obtains the absorbed index, index interested, excited index of monitored object.
Wherein, the second gateway device 13 may be used it is any can according to brain wave acquisition of information be absorbed in index, finger interested Number, excited index method referred to according to the be monitored absorbed index of object, index interested, the excitement of brain wave acquisition of information Number.
As further embodiment of this invention, wearable device 14 is established with predetermined manner and the first gateway device 12 and is connected, Including:
If wearable device 14 is in default environment, wearable device 14 passes through the second gateway device 13 and the first gateway Equipment 12 establishes connection, and otherwise, wearable device 14 is established by wireless cellular network and the first gateway device 12 and connected;
Second sensor information is sent to the first gateway device 12 with predetermined manner timing, including:
If wearable device 14, which is in, presets environment, timing transmission second sensor information to the second gateway device 13, Second gateway device 13 sends second sensor information to the first gateway device 12, and otherwise, wearable device 14 passes through wireless bee Nest network timing sends second sensor information to the first gateway device 12;
The second abnormal conditions information is sent in real time with predetermined manner to the first gateway device 12, including:
If wearable device 14 is in default environment, the second abnormal conditions information to the second gateway device is sent in real time 13, the second gateway device 13 sends the second abnormal conditions information to the first gateway device 12, and otherwise, wearable device 14 passes through nothing Line cellular network sends the second abnormal conditions information to the first gateway device 12 in real time.
In embodiments of the present invention, default environment includes:Wearable device 14 is less than at a distance from the second gateway device 13 Pre-determined distance, and the network speed of wireless cellular network is less than default network speed;
Wearable device 14 is established by the second gateway device 13 and the first gateway device 12 and is connected, including:
Wearable device 14 is connect by wireless personal area network or WLAN with the second gateway device 13, the second net Equipment 13 is closed to connect by wired or wireless mode with the first gateway device 12.
Illustratively, wearable device 14 and the second gateway device 13 can pass through bluetooth connection;Default environment can be Wearable device 14 at a distance from the second gateway device 13 the wireless personal area network or WLAN it is attachable away from From interior, and the poor environment of network speed of the wireless cellular network.
In embodiments of the present invention, if being in default environment by wearable device, wearable device passes through the second net It closes equipment and establishes connection with the first gateway device, otherwise, wearable device is built by wireless cellular network and the first gateway device Vertical connection, it is ensured that be in communicable state with the first gateway device when wearable device reported data.
In embodiments of the present invention, the first gateway device 12, which obtains server 11, allows 14 reported data of wearable device Delay time, and the time interval of 14 timing reported data of wearable device, count off in transmission timing were set according to delay time According to time interval to wearable device 14;Wearable device 14 is fixed with predetermined manner according to the time interval of timing reported data When send second sensor information to the first gateway device 12.
If desired the server 11 of 14 reported data of wearable device has multiple, then the first gateway device 12 acquisition needs can Multiple servers 11 of 14 reported data of wearable device, and obtain permission 14 reported data of wearable device of multiple servers 11 Delay time was chosen in the delay time between time of the shortest delay time as 14 timing reported data of wearable device Every the time interval being sent to wearable device 14, wearable device 14 is sent out according to the time interval with predetermined manner timing Send second sensor information to the first gateway device 12.
14 inside of wearable device includes communication module, when wearable device 14 sends second sensor letter with predetermined manner When ceasing to the first gateway device 12, which is to open module, and when wearable device 14 does not need transmission data, this is logical Letter module is in off state.When wearable device 14 detects abnormal conditions, generates the second abnormal conditions information, open Second abnormal conditions information is sent to the first gateway device 12 with predetermined manner by the communication module in real time, after being sent completely, is closed The communication module is closed, to can reach the purpose of power saving.
As further embodiment of this invention, second sensor information includes location information, the second physical signs information, accelerates Spend information;Second abnormal conditions information includes the second physical signs exception information and the second tumble information;
Whether wearable device 14 has abnormal conditions according to second sensor infomation detection, if detecting abnormal conditions Occur, then generates the second abnormal conditions information, including:
Whether wearable device 14 has the second physical signs abnormal conditions according to the second physical signs infomation detection, if It detects that the second physical signs abnormal conditions occur, then generates the second physical signs exception information;
Wearable device 14 has detected whether that the second tumble happens according to acceleration information, if detecting the second tumble It happens, then generates the second tumble information.
In embodiments of the present invention, the information that wearable device 14 acquires is known as second sensor information;Second is passed Physical signs information in sensor information is known as the second physical signs information;It will be obtained according to second sensor infomation detection different Reason condition information is known as the second abnormal conditions information;The tumble situation that wearable device 14 detects is known as the second tumble situation, The tumble information of generation is known as the second tumble information.Include multiple sensors inside wearable device 14, can acquire monitored The location information of object, the second physical signs information, acceleration information.Second physical signs information may include heart rate, blood pressure, The indexs such as blood oxygen concentration, body temperature.
In wearable device 14 for each physical signs it is default there are one indication ranges, if the physical signs exceeds The indication range of the physical signs then illustrates physical signs exception, generates the second physical signs exception information.Second physiology refers to It includes the information such as abnormal time of origin, abnormal generation position, abnormal index and related description to mark exception information.Wearable device 14 Existing fall detection algorithm may be used and detected whether that the second tumble happens according to acceleration information, if detecting Two, which fall, happens, then generates the second tumble information.Second tumble information includes tumble time of origin, falling occurs position, Tumble situation such as illustrates at the information.
As further embodiment of this invention, the first abnormal conditions information includes the first tumble information;
Server 11 is according to the first physical signs information, psychological indicator information, the first abnormal conditions information, the second abnormal feelings Condition information obtains third abnormal conditions information, including:
Whether server 11 has the first physical signs abnormal conditions according to the first physical signs infomation detection, if detection Occur to the first physical signs abnormal conditions, then generates the first physical signs exception information;
Whether server 11 has psychological Indexes Abnormality to happen according to psychological indicator infomation detection, if detecting, psychology refers to Abnormal conditions are marked, then generate psychological indicator exception information;
Server 11 carries out duplicate removal processing to the first physical signs exception information and the second physical signs exception information and obtains Physical signs exception information that treated;
Server 11 carries out the duplicate removal processing tumble information that obtains that treated to the first tumble information and the second tumble information;
Server 11 according to treated physical signs exception information, treated, and tumble information, psychological indicator are believed extremely Breath obtains third abnormal conditions information.
In embodiments of the present invention, the physical signs abnormal conditions obtained according to the first physical signs infomation detection are known as The physical signs exception information of first physical signs abnormal conditions, generation is known as the first physical signs exception information.
In server 11 for each physical signs and each psychological indicator it is default there are one indication ranges, if should Physical signs or the psychological indicator exceed its corresponding indication range, then illustrate that the physical signs or the physical signs are abnormal, raw At the first physical signs exception information or psychological indicator exception information.First physical signs exception information includes physical signs exception Position, abnormal physiology index and related description occur extremely for time of origin, physical signs.Psychological indicator exception information includes psychology Position, abnormal mind index and related description occur extremely for Indexes Abnormality time of origin, psychological indicator.
Server 11 is to same time in the first physical signs exception information and the second physical signs exception information and identical The physical signs that position occurs carries out duplicate removal processing extremely, the physical signs exception information that obtains that treated.Server 11 is to The tumble in same time and identical place carries out duplicate removal processing in one tumble information and the second tumble information, obtains that treated falls Information.
Tumble information that third abnormal conditions information includes treated physical signs exception information, treated, psychology refer to Mark exception information.Since the first exception information can also include the contingencies information such as blast information, fire information, so third Exception information can also include the contingencies information such as blast information, fire information.
The physical signs information of monitored object, psychological indicator information can be pushed to designated terminal by server 11.Clothes Business device 11 can analyze history physical signs information, history psychological indicator information, historical abnormal situation information, to being supervised The health status of control object is advised, and sends the suggestion to designated terminal.The suggestion can come from expert knowledge library.
In embodiments of the present invention, information is acquired by sensor and wearable device, and is obtained according to the information of acquisition Physical signs information, psychological indicator information and the abnormal conditions information of monitored object, may be implemented to the object that is monitored Health carries out the function of overall monitor;The second sensor information for the object that is monitored is acquired by wearable device, and with default Mode timing sends second sensor information to the first gateway device, wearable device according to second sensor infomation detection whether There are abnormal conditions, if detecting abnormal conditions, generates the second abnormal conditions information, and send out in real time with predetermined manner The second abnormal conditions information to the first gateway device, the first gateway device is sent to send second sensor information and the second abnormal conditions Information both can guarantee wearable device when occurring extremely to server, be reported to server in time, and can be in no abnormal hair When raw, electricity is saved, achievees the purpose that power saving;By server according to the first physical signs information, psychological indicator information, first Abnormal conditions information, the second abnormal conditions information obtain third abnormal conditions information, and send third abnormal conditions information to finger Determine terminal, the family members of monitored object or monitored object or medical service organ can be made to understand the strong of the object that is monitored in time Health situation, and make counter-measure.
It should be noted that the health monitoring system embodiment shown in above-mentioned diagram is used only for illustrating, it is not construed as The restriction of health monitoring system may include either combining certain components or different than illustrating more or fewer components Component.For example, some well known to a person skilled in the art device, component or modules etc..
In embodiment provided herein, it should be understood that disclosed health monitoring system can be by other Mode realize.For example, health monitoring system embodiment described above is only schematical, for example, internal system It divides, only a kind of example of division, formula that in actual implementation, there may be another division manner, or some features can be ignored, Or it does not execute.Another point, shown or discussed mutual connection or to be directly connected to or communicate connection can be by one A little interfaces, above-described connection type can be electrically connected, mechanical connection or other forms.
The various pieces illustrated as separating component may or may not be physically separated.
Fig. 2 is the realization stream for the health monitoring method based on above-mentioned health monitoring system 1 that one embodiment of the invention provides Journey schematic diagram illustrates only and the relevant part of the embodiment of the present invention for convenience of description.As shown in Fig. 2, this method can wrap Include following steps:
Step S201:Sensor 15 acquires first sensor information, and sends first sensor information and set to the second gateway Standby 13;The first physical signs information, the psychology that second gateway device 13 obtains monitored object according to first sensor information refer to Information and the first abnormal conditions information are marked, and sends the first physical signs information, psychological indicator information and the first abnormal conditions letter It ceases to the first gateway device 12;It is abnormal that first gateway device 12 sends the first physical signs information, psychological indicator information and first Situation information is to server 11.
As further embodiment of this invention, sensor 15 includes video capture device, audio collecting device and infrared sensing Device;First sensor information includes video information, audio-frequency information and thermograph;
Sensor 15 acquires first sensor information, including:
Video capture device acquire video information, audio collecting device acquire audio-frequency information, infrared sensor acquisition heat at As figure;
Second gateway device 13 obtains the first physical signs information, the psychology of monitored object according to first sensor information Indication information and the first abnormal conditions information, including:
Second gateway device 13 is according to video information, the gender of the monitored object of thermograph acquisition, age, the first physiology Indication information, micro- expression information and micro- action message, and audio-frequency information is converted into text message;
Second gateway device 13 is according to gender, age, the first physical signs information, micro- expression information, micro- action message, sound Frequency information and text message obtain the psychological indicator information of monitored object;
Second gateway device 13 obtains the first abnormal conditions according to video information and/or audio-frequency information and/or thermograph Information.
The first physical signs information, the heart of monitored object are obtained according to first sensor information in the second gateway device 13 After managing indication information and the first abnormal conditions information, further include:
Second gateway device 13 determines the position that the first abnormal conditions information occurs according to the first abnormal conditions information, and controls Sensor 15 processed acquires the 3rd sensor information of the position;
The 3rd sensor information of acquisition is sent to the second gateway device 13 by sensor 15;
3rd sensor information is sent to the first gateway device 12 by the second gateway device 13;
3rd sensor information is sent to server 11 by the first gateway device 12;
3rd sensor information is sent to designated terminal by server 11.
As further embodiment of this invention, the first physical signs information includes heart rate, heart rate variability, beating interval, blood Buckling, blood oxygen concentration, skin resistance variation and body temperature;
Second gateway device 13 is according to video information, the gender of the monitored object of thermograph acquisition, age, the first physiology Indication information, micro- expression information and micro- action message, including:
Second gateway device 13 obtains the gender for the object that is monitored, age according to video information;
Second gateway device 13 obtains heart rate, heart rate variability, blood oxygen concentration, the blood for the object that is monitored according to video information Buckling, and according to the beating interval of the monitored object of heart rate acquisition;
The skin resistance that second gateway device 13 obtains the object that is monitored according to video information changes;
Second gateway device 13 obtains the body temperature for the object that is monitored according to thermograph;
Second gateway device 13 obtains the micro- expression information for the object that is monitored and micro- action message according to video information.
As further embodiment of this invention, psychological indicator information includes nervous index;
Second gateway device 13 is according to gender, age, the first physical signs information, micro- expression information, micro- action message, sound Frequency information and text message obtain the psychological indicator information of monitored object, including:
Second gateway device 13 is by gender, age and the first physical signs information input to the first deep learning network model In, obtain the first potency, the first wake-up degree and the first likability;
Second gateway device 13 makees micro- expression information and fine motion in information input to the second deep learning network model, obtains Obtain the second potency, the second wake-up degree and the second likability;
Audio-frequency information is input in third deep learning network model by the second gateway device 13, obtains third potency, the Three wake-up degree and third likability;
Text message is input in the 4th deep learning network model by the second gateway device 13, obtains the 4th potency, the Four wake-up degree and the 4th likability;
Second gateway device 13 according to the first potency, the first wake-up degree, the first likability, and/or, the second potency, second Wake-up degree, the second likability, and/or, third potency, third wake-up degree, third likability, and/or, the 4th potency, the 4th call out Awake degree, the 4th likability, obtain target potency, target wake-up degree and target likability, and according to target potency, target wake-up degree With target likability, the nervous index for the object that is monitored is obtained;Or,
Second gateway device 13 according to the first potency, the first wake-up degree, and/or, the second potency, the second wake-up degree, and/ Or, third potency, third wake-up degree, and/or, the 4th potency, the 4th wake-up degree obtain target potency and target wake-up degree, and According to target potency and target wake-up degree, the nervous index for the object that is monitored is obtained.
Step S202:The second sensor information of the monitored object of the acquisition of wearable device 14, and with predetermined manner timing Second sensor information is sent to the first gateway device 12;It is different whether wearable device 14 has according to second sensor infomation detection It often happens, if detecting abnormal conditions, generates the second abnormal conditions information, and send in real time with predetermined manner Two abnormal conditions information to the first gateway device 12;First gateway device 12 sends second sensor information and the second abnormal conditions Information is to server 11.
As further embodiment of this invention, second sensor information is sent to the first gateway device with predetermined manner timing 12, including:
If wearable device 14, which is in, presets environment, timing transmission second sensor information to the second gateway device 13, Second gateway device 13 sends second sensor information to the first gateway device 12, and otherwise, wearable device 14 passes through wireless bee Nest network timing sends second sensor information to the first gateway device 12;
The second abnormal conditions information is sent in real time with predetermined manner to the first gateway device 12, including:
If wearable device 14 is in default environment, the second abnormal conditions information to the second gateway device is sent in real time 13, the second gateway device 13 sends the second abnormal conditions information to the first gateway device 12, and otherwise, wearable device 14 passes through nothing Line cellular network sends the second abnormal conditions information to the first gateway device 12 in real time.
As further embodiment of this invention, second sensor information includes location information, the second physical signs information, accelerates Spend information;Second abnormal conditions information includes the second physical signs exception information and the second tumble information;
Whether wearable device 14 has abnormal conditions according to second sensor infomation detection, if detecting abnormal conditions Occur, then generates the second abnormal conditions information, including:
Whether wearable device 14 has the second physical signs abnormal conditions according to the second physical signs infomation detection, if It detects that the second physical signs abnormal conditions occur, then generates the second physical signs exception information;
Wearable device 14 has detected whether that the second tumble happens according to acceleration information, if detecting the second tumble It happens, then generates the second tumble information.
Step S203:Server 11 according to the first physical signs information, psychological indicator information, the first abnormal conditions information, Second abnormal conditions information obtains third abnormal conditions information, and sends third abnormal conditions information to designated terminal.
As further embodiment of this invention, the first abnormal conditions information includes the first tumble information;
Server 11 is according to the first physical signs information, psychological indicator information, the first abnormal conditions information, the second abnormal feelings Condition information obtains third abnormal conditions information, including:
Whether server 11 has the first physical signs abnormal conditions according to the first physical signs infomation detection, if detection Occur to the first physical signs abnormal conditions, then generates the first physical signs exception information;
Whether server 11 has psychological Indexes Abnormality to happen according to psychological indicator infomation detection, if detecting, psychology refers to Abnormal conditions are marked, then generate psychological indicator exception information;
Server 11 carries out duplicate removal processing to the first physical signs exception information and the second physical signs exception information and obtains Physical signs exception information that treated;
Server 11 carries out the duplicate removal processing tumble information that obtains that treated to the first tumble information and the second tumble information;
Server 11 according to treated physical signs exception information, treated, and tumble information, psychological indicator are believed extremely Breath obtains third abnormal conditions information.
It should be noted that all citings in above-described embodiment are used for the purpose of explaining technical scheme of the present invention, and It is not used in the restriction present invention.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit It is fixed.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations;Although with reference to aforementioned reality Example is applied the application is described in detail, it will be understood by those of ordinary skill in the art that:It still can be to aforementioned each Technical solution recorded in embodiment is modified or equivalent replacement of some of the technical features;And these are changed Or replace, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all Within the protection domain of the application.

Claims (10)

1. a kind of health monitoring system, which is characterized in that including:Server, the second gateway device, can be worn the first gateway device Wear equipment and sensor;
The sensor is connect with second gateway device, and second gateway device is connect with first gateway device, First gateway device is connect with the server, and the wearable device is built with predetermined manner and first gateway device Vertical connection;
The sensor acquires first sensor information, and sends the first sensor information to second gateway device; The first physical signs information, the psychology that second gateway device obtains monitored object according to the first sensor information refer to Information and the first abnormal conditions information are marked, and sends the first physical signs information, the psychological indicator information and described the One abnormal conditions information is to first gateway device;First gateway device sends the first physical signs information, institute Psychological indicator information and the first abnormal conditions information are stated to the server;
The second sensor information of the monitored object of wearable device acquisition, and send described second with predetermined manner timing Sensor information is to first gateway device;It is different whether the wearable device has according to the second sensor infomation detection It often happens, if detecting abnormal conditions, generates the second abnormal conditions information, and send institute in real time with predetermined manner The second abnormal conditions information is stated to first gateway device;First gateway device send the second sensor information and The second abnormal conditions information is to the server;
The server according to the first physical signs information, the psychological indicator information, the first abnormal conditions information, The second abnormal conditions information obtains third abnormal conditions information, and it is whole to specifying to send the third abnormal conditions information End.
2. health monitoring system as described in claim 1, which is characterized in that the sensor includes video capture device, sound Frequency collecting device and infrared sensor;The first sensor information includes video information, audio-frequency information and thermograph;
The sensor acquires first sensor information, including:
The video capture device acquires the video information, and the audio collecting device acquires the audio-frequency information, described red Outer sensor acquires the thermograph;
Second gateway device obtains the first physical signs information of monitored object, the heart according to the first sensor information Indication information and the first abnormal conditions information are managed, including:
Second gateway device obtains the gender of object of being monitored, age, the according to the video information, the thermograph One physiology indication information, micro- expression information and micro- action message, and the audio-frequency information is converted into text message;
Second gateway device is believed according to the gender, the age, the first physical signs information, micro- expression Breath, micro- action message, the audio-frequency information and the text message obtain the psychological indicator information of monitored object;
Second gateway device obtains institute according to the video information and/or the audio-frequency information and/or the thermograph State the first abnormal conditions information.
Second gateway device obtained according to the first sensor information monitored object the first physical signs information, After psychological indicator information and the first abnormal conditions information, further include:
Second gateway device determines the position that the first abnormal conditions information occurs according to the first abnormal conditions information It sets, and controls the 3rd sensor information that the sensor acquires the position;
The 3rd sensor information of acquisition is sent to second gateway device by the sensor;
The 3rd sensor information is sent to first gateway device by second gateway device;
The 3rd sensor information is sent to the server by first gateway device;
The 3rd sensor information is sent to the designated terminal by the server.
3. health monitoring system as claimed in claim 2, which is characterized in that the first physical signs information include heart rate, Heart rate variability, beating interval, blood pressure, blood oxygen concentration, skin resistance variation and body temperature;
Second gateway device obtains the gender of object of being monitored, age, the according to the video information, the thermograph One physiology indication information, micro- expression information and micro- action message, including:
Second gateway device obtains the gender for the object that is monitored, age according to the video information;
Second gateway device obtained according to the video information heart rate of object of being monitored, heart rate variability, blood oxygen concentration, Blood pressure, and according to the beating interval of the monitored object of heart rate acquisition;
The skin resistance that second gateway device obtains the object that is monitored according to the video information changes;
Second gateway device obtains the body temperature for the object that is monitored according to the thermograph;
Second gateway device obtains the micro- expression information for the object that is monitored and micro- action message according to the video information.
4. health monitoring system as claimed in claim 2, which is characterized in that the psychological indicator information includes nervous index;
Second gateway device is believed according to the gender, the age, the first physical signs information, micro- expression Breath, micro- action message, the audio-frequency information and the text message obtain the psychological indicator information of monitored object, packet It includes:
Second gateway device is by the gender, the age and the first physical signs information input to the first depth It practises in network model, obtains the first potency, the first wake-up degree and the first likability;
Micro- expression information and the fine motion are made information input to the second deep learning network mould by second gateway device In type, the second potency, the second wake-up degree and the second likability are obtained;
The audio-frequency information is input in third deep learning network model by second gateway device, acquisition third potency, Third wake-up degree and third likability;
The text message is input in the 4th deep learning network model by second gateway device, the 4th potency of acquisition, 4th wake-up degree and the 4th likability;
Second gateway device according to first potency, the first wake-up degree, first likability, and/or, it is described Second potency, the second wake-up degree, second likability, and/or, it is the third potency, the third wake-up degree, described Third likability, and/or, the 4th potency, the 4th wake-up degree, the 4th likability obtain target potency, target Wake-up degree and target likability, and according to the target potency, target wake-up degree and target likability, obtain the object that is monitored Nervous index;Or,
Second gateway device according to first potency, the first wake-up degree, and/or, second potency, described Two wake-up degree, and/or, the third potency, the third wake-up degree, and/or, the 4th potency, the 4th wake-up degree, Target potency and target wake-up degree are obtained, and according to the target potency and target wake-up degree, obtains the anxiety for the object that is monitored Index.
5. health monitoring system as described in claim 1, which is characterized in that the wearable device with predetermined manner with it is described First gateway device establishes connection, including:
If the wearable device is in default environment, the wearable device passes through second gateway device and described the One gateway device establishes connection, and otherwise, the wearable device is established by wireless cellular network and first gateway device Connection;
It is described that the second sensor information is sent to first gateway device with predetermined manner timing, including:
If the wearable device is in the default environment, the second sensor information is periodically sent to second net Equipment is closed, the second gateway device transmission second sensor information is otherwise, described to wear to first gateway device It wears equipment and the second sensor information is sent to first gateway device by wireless cellular network timing;
It is described to send the second abnormal conditions information in real time with predetermined manner to first gateway device, including:
If the wearable device is in the default environment, the second abnormal conditions information is sent in real time to described second Gateway device, the second gateway device transmission the second abnormal conditions information are otherwise, described to first gateway device Wearable device sends the second abnormal conditions information by wireless cellular network to first gateway device in real time.
6. health monitoring system as described in claim 1, which is characterized in that the second sensor information includes position letter Breath, the second physical signs information, acceleration information;The second abnormal conditions information include the second physical signs exception information and Second tumble information;
Whether the wearable device has abnormal conditions according to the second sensor infomation detection, if detecting abnormal feelings Condition occurs, then generates the second abnormal conditions information, including:
Whether the wearable device has the second physical signs abnormal conditions according to the second physical signs infomation detection, If detecting, the second physical signs abnormal conditions occur, and generate the second physical signs exception information;
The wearable device has detected whether that the second tumble happens according to the acceleration information, if detecting, second falls It happens, then generates the second tumble information.
7. health monitoring system as claimed in claim 6, which is characterized in that the first abnormal conditions information is fallen including first Information;
The server according to the first physical signs information, the psychological indicator information, the first abnormal conditions information, The second abnormal conditions information obtains third abnormal conditions information, including:
Whether the server has the first physical signs abnormal conditions according to the first physical signs infomation detection, if inspection The generation of the first physical signs abnormal conditions is measured, then generates the first physical signs exception information;
Whether the server has psychological Indexes Abnormality to happen according to the psychological indicator infomation detection, if detecting psychology Indexes Abnormality happens, then generates psychological indicator exception information;
The server carries out at duplicate removal the first physical signs exception information and the second physical signs exception information Physical signs exception information that reason obtains that treated;
The server carries out duplicate removal processing to the first tumble information and the second tumble information and obtains that treated falls Information;
The server is according to treated the physical signs exception information, treated tumble information, the psychology Indexes Abnormality information obtains the third abnormal conditions information.
8. a kind of health monitoring method based on health monitoring system described in claim 1, which is characterized in that including:
The sensor acquires first sensor information, and sends the first sensor information to second gateway device; The first physical signs information, the psychology that second gateway device obtains monitored object according to the first sensor information refer to Information and the first abnormal conditions information are marked, and sends the first physical signs information, the psychological indicator information and described the One abnormal conditions information is to first gateway device;First gateway device sends the first physical signs information, institute Psychological indicator information and the first abnormal conditions information are stated to the server;
The second sensor information of the monitored object of wearable device acquisition, and send described second with predetermined manner timing Sensor information is to first gateway device;It is different whether the wearable device has according to the second sensor infomation detection It often happens, if detecting abnormal conditions, generates the second abnormal conditions information, and send institute in real time with predetermined manner The second abnormal conditions information is stated to first gateway device;First gateway device send the second sensor information and The second abnormal conditions information is to the server;
The server according to the first physical signs information, the psychological indicator information, the first abnormal conditions information, The second abnormal conditions information obtains third abnormal conditions information, and it is whole to specifying to send the third abnormal conditions information End.
9. health monitoring method as claimed in claim 8, which is characterized in that the sensor includes video capture device, sound Frequency collecting device and infrared sensor;The first sensor information includes video information, audio-frequency information and thermograph;
The sensor acquires first sensor information, including:
The video capture device acquires the video information, and the audio collecting device acquires the audio-frequency information, described red Outer sensor acquires the thermograph;
Second gateway device obtains the first physical signs information of monitored object, the heart according to the first sensor information Indication information and the first abnormal conditions information are managed, including:
Second gateway device obtains the gender of object of being monitored, age, the according to the video information, the thermograph One physiology indication information, micro- expression information and micro- action message, and the audio-frequency information is converted into text message;
Second gateway device is believed according to the gender, the age, the first physical signs information, micro- expression Breath, micro- action message, the audio-frequency information and the text message obtain the psychological indicator information of monitored object;
Second gateway device obtains institute according to the video information and/or the audio-frequency information and/or the thermograph State the first abnormal conditions information.
Second gateway device obtained according to the first sensor information monitored object the first physical signs information, After psychological indicator information and the first abnormal conditions information, further include:
Second gateway device determines the position that the first abnormal conditions information occurs according to the first abnormal conditions information It sets, and controls the 3rd sensor information that the sensor acquires the position;
The 3rd sensor information of acquisition is sent to second gateway device by the sensor;
The 3rd sensor information is sent to first gateway device by second gateway device;
The 3rd sensor information is sent to the server by first gateway device;
The 3rd sensor information is sent to the designated terminal by the server.
10. health monitoring method as claimed in claim 9, which is characterized in that the first physical signs information include heart rate, Heart rate variability, beating interval, blood pressure, blood oxygen concentration, skin resistance variation and body temperature;
Second gateway device obtains the gender of object of being monitored, age, the according to the video information, the thermograph One physiology indication information, micro- expression information and micro- action message, including:
Second gateway device obtains the gender for the object that is monitored, age according to the video information;
Second gateway device obtained according to the video information heart rate of object of being monitored, heart rate variability, blood oxygen concentration, Blood pressure, and according to the beating interval of the monitored object of heart rate acquisition;
The skin resistance that second gateway device obtains the object that is monitored according to the video information changes;
Second gateway device obtains the body temperature for the object that is monitored according to the thermograph;
Second gateway device obtains the micro- expression information for the object that is monitored and micro- action message according to the video information.
CN201810387015.6A 2018-04-26 2018-04-26 health monitoring system and method Pending CN108634968A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110731785A (en) * 2019-10-24 2020-01-31 合肥盛东信息科技有限公司 old person's house health intelligent monitoring distress system
CN111564224A (en) * 2020-04-26 2020-08-21 中控华运(厦门)集成电路有限公司 Intelligent monitoring system with health monitoring function and implementation method thereof
CN112001338A (en) * 2020-08-27 2020-11-27 南通市第二人民医院 Information processing method and system for improving health level of children
CN112672119A (en) * 2019-10-15 2021-04-16 许桂林 Intelligent projector with camera shooting function and personal health data generation method

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102469971A (en) * 2010-07-05 2012-05-23 株式会社东芝 Medical imaging device and medical image diagnostic device
US20130139255A1 (en) * 2011-11-30 2013-05-30 Elwha LLC, a limited liability corporation of the State of Delaware Detection of deceptive indicia masking in a communications interaction
CN104771177A (en) * 2015-05-08 2015-07-15 重庆软汇科技股份有限公司 Tumble detection system and method based on machine learning
CN105193397A (en) * 2015-08-24 2015-12-30 浙江大学 Human body parameter measurement system with variable sampling frequency
CN105342581A (en) * 2015-11-13 2016-02-24 云南农业大学 Safety monitoring system and method for senior based on WeChat
CN205054236U (en) * 2015-09-18 2016-03-02 北京交通大学 Device of control rail transit train staff health status
CN106671105A (en) * 2017-01-17 2017-05-17 五邑大学 Intelligent accompanying robot for old people
CN107007291A (en) * 2017-04-05 2017-08-04 天津大学 Intense strain intensity identifying system and information processing method based on multi-physiological-parameter
US20170352289A1 (en) * 2016-06-06 2017-12-07 Renaissance Periodization, LLC Systems and methods for real-time notification and mobile content delivery
CN107527011A (en) * 2017-07-13 2017-12-29 深圳科思创动实业有限公司 A kind of contactless dermatopolyneuritis variation tendency detection method, device and equipment
CN107566230A (en) * 2017-09-12 2018-01-09 成都易慧家科技有限公司 A kind of intelligent home control system and method based on mobile radio communication
CN107959926A (en) * 2017-12-08 2018-04-24 湖南湘华优路交通科技有限公司 The method and device of data interaction between equipment and server

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102469971A (en) * 2010-07-05 2012-05-23 株式会社东芝 Medical imaging device and medical image diagnostic device
US20130139255A1 (en) * 2011-11-30 2013-05-30 Elwha LLC, a limited liability corporation of the State of Delaware Detection of deceptive indicia masking in a communications interaction
CN104771177A (en) * 2015-05-08 2015-07-15 重庆软汇科技股份有限公司 Tumble detection system and method based on machine learning
CN105193397A (en) * 2015-08-24 2015-12-30 浙江大学 Human body parameter measurement system with variable sampling frequency
CN205054236U (en) * 2015-09-18 2016-03-02 北京交通大学 Device of control rail transit train staff health status
CN105342581A (en) * 2015-11-13 2016-02-24 云南农业大学 Safety monitoring system and method for senior based on WeChat
US20170352289A1 (en) * 2016-06-06 2017-12-07 Renaissance Periodization, LLC Systems and methods for real-time notification and mobile content delivery
CN106671105A (en) * 2017-01-17 2017-05-17 五邑大学 Intelligent accompanying robot for old people
CN107007291A (en) * 2017-04-05 2017-08-04 天津大学 Intense strain intensity identifying system and information processing method based on multi-physiological-parameter
CN107527011A (en) * 2017-07-13 2017-12-29 深圳科思创动实业有限公司 A kind of contactless dermatopolyneuritis variation tendency detection method, device and equipment
CN107566230A (en) * 2017-09-12 2018-01-09 成都易慧家科技有限公司 A kind of intelligent home control system and method based on mobile radio communication
CN107959926A (en) * 2017-12-08 2018-04-24 湖南湘华优路交通科技有限公司 The method and device of data interaction between equipment and server

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘东升: "《融合物联感知与移动监控的智慧农业公共服务技术研究》", 30 November 2015, 浙江工业大学出版社 *
李天钢: "《生物医学测量与仪器》", 28 February 2019, 西安交通大学出版社 *
杨博雄: "《无线嵌入式互联网》", 30 June 2015, 武汉大学出版社 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112672119A (en) * 2019-10-15 2021-04-16 许桂林 Intelligent projector with camera shooting function and personal health data generation method
CN110731785A (en) * 2019-10-24 2020-01-31 合肥盛东信息科技有限公司 old person's house health intelligent monitoring distress system
CN111564224A (en) * 2020-04-26 2020-08-21 中控华运(厦门)集成电路有限公司 Intelligent monitoring system with health monitoring function and implementation method thereof
CN112001338A (en) * 2020-08-27 2020-11-27 南通市第二人民医院 Information processing method and system for improving health level of children

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