CN109326081A - Old man family nurse early warning system and health Evaluation method based on Internet of Things - Google Patents

Old man family nurse early warning system and health Evaluation method based on Internet of Things Download PDF

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CN109326081A
CN109326081A CN201811334549.9A CN201811334549A CN109326081A CN 109326081 A CN109326081 A CN 109326081A CN 201811334549 A CN201811334549 A CN 201811334549A CN 109326081 A CN109326081 A CN 109326081A
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data
health
health factor
voice
early warning
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刘达
陈炜
邱歆轶
冯辉
孟龙
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Fudan University
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Fudan University
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/0423Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • General Physics & Mathematics (AREA)
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  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Business, Economics & Management (AREA)
  • Psychology (AREA)
  • Gerontology & Geriatric Medicine (AREA)
  • Emergency Management (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention belongs to medical treatment & health technical field, specially a kind of Old Age Homes based on Internet of Things nurse early warning system.Present system includes the indoor information acquisition module for acquiring indoor environment situation and the elderly's activity condition, for comparing the outdoor environment situation acquisition module of indoor situations, for facilitating the elderly to save oneself, instant early warning, voice suggestion casting speech signal analysis module, for the relay process module of classification to be pre-processed and integrated to Global Information work, the server module that information summarizes is done beyond the clouds.The system information acquisition module all uses the external sensing of non-intruding passive type, with not influencing the elderly normal life.The system is capable of the situation and indoor information of complete detection the elderly's current behavior activity;This system is also suitable the situation for having multidigit the elderly at home.This system is integrated according to integrated information, and the functions such as family's nurse, voice guidance and remote notification, danger early warning may be implemented, and Empty nest elderly is nursed and provided well corresponding health evaluating to realize.

Description

Old man family nurse early warning system and health Evaluation method based on Internet of Things
Technical field
The invention belongs to medical treatment & health technical fields, and in particular to a kind of Old Age Homes' nurse early warning based on Internet of Things System and health Evaluation method.
Background technique
In recent years, technology of Internet of things development is swift and violent, and broader applications are in daily life.The scale in global Internet of Things market is not It is disconnected to increase, it is contemplated that Internet of Things will continue to develop rapidly under current consumption background.Practitioner will seek more applications Direction makes life more comfortable, and environment is more livable, allows more people to enjoy development in science and technology bring convenient.
In Aged in China degree, increasingly serious today, household old man's quantity that nobody looks after increasingly increase, become and account for Than a very big group.According to statistics, China 60 years old 2015 and the above population reach 2.22 hundred million, account for the 16.15% of total population. The year two thousand twenty is expected, elderly population are up to 2.48 hundred million, and aging level reaches 17.17%.The group because its life is inconvenient and Potential disease hidden danger may bring significant challenge, therefore the weight of family health care nurse to every field such as social medical treatment, nursing The property wanted greatly improves, and remote health is nursed into an important directions to solve this problem.In addition the nothings such as WIFI, Bluetooth Line transmission mode is popularized, and the healthy nursing system of more comfortable non-intrusion type is possibly realized.
The convenience that the modish sense of interactive voice bring and voice directly control, hands over the voices such as Siri, small love classmate Mutual system is well received by the public.
The voice interactive systems such as current Siri, small love classmate are further mature, are well received by the public, are attributable to interactive voice The convenience that the modish sense of bring and voice directly control.And for most of the elderly, intelligent hand can't be used Machine, therefore a voice interactive system towards the elderly can provide many conveniences.Alarm warning children, real-time phonetic are called out to broadcast Report suggests that the life comfort of the elderly can be improved in the functions such as guidance.
In order to save medical resource, country, which advocates, to adhere to putting prevention first, prevents and treats the medical policy combined.Simultaneously in view of old Human physiology situation factor, inconvenience go to hospital to detect, and can propose new health evaluating method by monitoring daily life data, Reflect old man's physical condition, and its health status is assessed in real time, the disease being likely to occur is predicted, and Early warning is carried out for special circumstances.
Summary of the invention
The object of the present invention is to provide full-featured, comfortable reliable, the convenient and fast Old Age Homes of interaction to nurse early warning System and health Evaluation method.
Old Age Homes provided by the invention based on Internet of Things nurse early warning system, including non-intruding passive type wirelessly passes Feel network-side, interactive voice information processing end, Data Management Analysis integrated terminal, cloud server data storage analysis end;Its In:
The non-intruding passive type wireless sensor network end, including ambient conditions acquisition module and the acquisition of behavioral activity data Module;The ambient conditions acquisition module includes indoor environment situation acquisition module and outdoor environment situation acquisition module;It is described Behavioral activity data acquisition module includes that behavior place judgment module, article using judgment module and user identity judge mould Block;The data acquisition module is all the passive acquisition data of non-intrusion type, wherein all sensing devices are mounted on furniture, wall On wall or electrical outlet, using lithium battery power supply, it is to the transmission of Data Management Analysis integrated terminal by signal transmitting module When data;
Interactive voice information processing end, uses microphone array and sound equipment as interactive tool;Interactive voice information Processing end is connected directly with Data Management Analysis integrated terminal, and it is concurrent that interactive voice information processing end can also receive instantaneous emergency Alarm signal out, while voice broadcast suggestion guidance can also be provided;
The Data Management Analysis integrated terminal, uses miniature applications processor as core processing module, miniature applications Processor is after the signal for receiving wireless sensor network and the transmission of voice mutual information processing end, integrated signal data of classifying, Data are uploaded to cloud server, and receive cloud server feedback control interactive voice information processing end and provide voice broadcast to build View guidance;
The cloud server data storage analysis end, connect with the data analytical integration terminal called in family, passes through Data processing software system therein makees health Evaluation judgement to data-signal, health evaluating report is provided, if dangerous Omen provides respective feedback;All data storages are beyond the clouds, it is possible to provide do subsequent analysis to doctor.
In the present invention, the information of the ambient conditions acquisition module acquisition includes: temperature, humidity, PM2.5, formaldehyde, an oxygen Change carbon;It is indoor that multiple sensors can be installed simultaneously with outdoor, it is used for comparing;Behavior place judgment module includes infrared sensing Device, pressure sensor device are mounted on and are used to perceive scope of activities on wall and seat;Article includes accelerating using judgment module Sensing device, electric apparatus sensing device are spent, acceleration sensing device is mounted on every-day object, is used for perceiving article Period;Electric apparatus sensing device is mounted on electrical appliance plug jack junction, perceives electric appliance use time;User identity judges mould Block includes RFID reader device and the passive ID card of identity label, and the passive ID card of identity label is mounted on slippers bottom, and RFID is read Card device is mounted on floor;RFID reader device judges corresponding identity by reading the passive ID of slippers bottom and sticking into.
In the present invention, non-intruding passive type sensing network collects various information, obtain indoor environment and outdoor environment i.e. When the situation and daily life-form structure of the elderly;It can be to life of elderly person environment and animation superiority and inferiority based on existing knowledge It judges and carries out qualitative analysis, acquisition data are supplied to follow-up data processing software system, comprehensive analysis the Health Status of Elders.Tree Certain kind of berries group acquires relay station as data in family, and collected data are made to pre-process and be supplied to cloud service terminal to count According to final analysis processing integration.
In the present invention, data processing software system, including the Health Status of Elders parser, the algorithm pass through functional value The general health factor between 0 to 1 embodies the health status of old solitary people, the general health factor by four classification health because Son weighting is found out;Four classification health factors are sleep health factor, health factor of eating, the health factor that goes to the toilet, sitting respectively Health factor, knowledge based and test data can provide classification health factor analytic expression, obtain activity data value and bring into Provide health factor numerical value.There is most suitable sleeping time in sleeping time, provides and sleeps according to sleeping time, time for falling asleep and number of getting up in the night to urinate Dormancy health factor formula, the meal time is irregular or eats excessive velocities or excessively slow all as the unhealthy of dining health factor Determining that item carries out factor fitting, the frequency that equally goes to the toilet is too high or too low and the overlong time or too short as Consideration that goes to the toilet, Sitting health factor increases with the sitting time and is declined.
In the present invention, health factor part of sleeping, it is assumed that the sleeping time health factor letter being derived from by sleeping time Number is α 1 (maximum value 1, minimum value 0, threshold value 0.5, and 1 to represent health status fabulous), and sleeping time is then set as T1It is (single Position is hour), through being fitted available sleeping time health factor functionIn addition, when the sleep of the elderly Between it is general at night between 9 points to 10 points.We set the obtained time for falling asleep of acquisition subject's data as t1(unit is hour), Time for falling asleep health factor function is α 2 (maximum value 1, minimum value 0, threshold value 0.5, and 1 to represent health status fabulous). It is obtained via fitting, time for falling asleep health factor functionFinally, the sleep quality of the elderly and getting up in the night to urinate time Number also has great association.It is generally believed that get up in the night to urinate at night 1 time to 2 times be healthier.We set acquisition subject's number It is N according to obtained number of getting up in the night to urinate1, number health factor of getting up in the night to urinate is α 3 (maximum value 1, minimum value 0, threshold value 0.5, and 1 generation Table health status is fabulous).Fitting can obtain, number health factor function of getting up in the night to urinateAnd health factor of sleeping is Final result is combined by three health factor difference weights, and setting weight is respectively P1, P2, P3, knowledge based and test Data, health factor of finally sleeping: α=P1 α 1+P2 α 2+P3 α 3.Numerical value is bigger, then health status is better, otherwise can set strong Health threshold value, can then issue warning lower than a certain index: sleep state is to be improved.Other three kinds of health factors are also with similar side Formula obtains, and finally obtains the general health factor also according to weight ratio, numerical value is bigger, then health status is better;General health because Healthy threshold value can be also arranged in son, reflect holistic health standard.
In the present invention, it is meal time T respectively that dining health factor is made of two parts2(unit is hour), and use Eat moment t2(unit is hour), fitting obtain β=P1 β 1+P2 β 2, whereinP1、 P2 weight;
The health factor that goes to the toilet is made of two parts, is the time T that goes to the toilet respectively3(unit is hour), and the times N that goes to the toilet2, Fitting obtains γ=P1 γ 1+P2 γ 2, whereinP1, P2 weight;
Sitting health factor, then only sitting time T4(unit is hour) assessment, fitting obtain
The general health factor is η=(0.3 α after data are fitted1+0.1α2+0.1α3)+(0.1β1+0.1β2)+(0.1 γ1+0.1γ2)+0.1δ。
In the present invention, interactive voice information processing end, use rambler company sound equipment and microphone array as interaction Tool.Use ready-made mature voice module as interactive tool, be convenient for subsequent software development process, is also conducive to interactive system Stability.
In the present invention, Data Management Analysis integrated terminal is core processing module using raspberry pie.Raspberry pie connection is local Network carries out data interaction with cloud.Raspberry pie is also the application processor of a maturation, moderate, stability height, operation Convenient, program open source is suitable as core processing module to guarantee steadily data acquisition.
In the present invention, the major function at cloud server data storage analysis end is realized at the storage and analysis of data Reason, algorithm is the judgement of Knowledge based engineering health status, and historical data base is compared with available data, analyzes health status Change situation.Its function includes that early warning feedback can be made to danger signal, can be issued by wechat, short message to children pre- It is alert.Can also change to indoor environment can provide suggestion guidance, prompt old man by voice broadcast.
Beneficial effects of the present invention
(1) combination for implementing nurse with network transmission is realized, social medical resource is saved, is mentioned to Empty nest elderly Safer more reliable technical guarantee is supplied;
(2) system uses non-intrusion type sensing network, will not make troubles the life of the elderly, will not influence body and relaxes Suitable sense;
(3) system introduces voice interactive system, is convenient for human-computer interaction, provides a kind of scheme and solves the elderly and smart machine Between estrangement;
(4) it relies on cloud platform to carry out data storage, the privacy and shared balance of data is realized, convenient for providing monthly report It accuses, quarterly report;
(5) new health evaluating method finds the state of an illness in time and issues early warning, improves prevention and treatment efficiency, reduce the state of an illness Widened risk.
Detailed description of the invention
Fig. 1 system hardware frame diagram.
Fig. 2 sensing node schematic diagram.
Fig. 3 voice interactive system frame.
Fig. 4 raspberry pie flow chart of data processing block diagram.
Fig. 5 cloud server flow chart of data processing block diagram.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical solution in the embodiment of the present invention are described in further detail.Obviously, described embodiment is only the present invention The embodiment of a part, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having Every other embodiment obtained under the premise of creative work is made, should fall within the scope of the present invention.
Fig. 2 is sensing node structural schematic diagram, and sensing device is connected directly with wireless transport module, and transmission data have both electricity It can supply, wireless transport module is powered by lithium battery.
Fig. 3 is voice interactive system schematic diagram, and the audio alert signal that meeting automatic identification the elderly issues is issued to children Early warning information, while according to collected environmental information and behavioral activity data, can when monitoring the elderly nearby hair Voice suggestion out.Sound equipment is connected with core master control raspberry pie by data line, is powered with 220V normal voltage.
Fig. 4 is the preprocessing process that raspberry pie processor needs to do data, and many and diverse multiplicity of data needs to carry out multichannel simultaneously Row receives, and is classified to the unlike signal being collected into, and correspondence is marked according to data packet is received, and according to timing Sequence be packaged to data and uploads to cloud processing by WIFI again.
Fig. 5 is the workflow of cloud server, and parallel duplex processing is done for the data received in cloud, all the way directly Data packet is unpacked and is stored sequentially in time, then carries out instant situation judgement all the way, including instant environment compares, i.e. When abnormal behavior determine etc., once discovery meet abnormal conditions if issue warning information report be likely to occur the case where;Cloud clothes Business device can provide periodical health evaluating report, including day according to this judgement as one day starting point for 12 points of morning Report, all reports, moon report, quarterly report etc., this data can be provided medical treatment with comprehensive judgement and be suggested, be also used as subsequent The reference of doctor's assessment information.
Each functions of modules and workflow will be introduced respectively below.
Embodiment 1: non-intruding passive type Wuxi sensing network
A variety of sensing devices, including behavioral activity sensing device such as passive infrared detection are given according to embodiments of the present invention Device, flexible force sensitive sensor, acceleration transducer, electric apparatus sensor, RFID detector, ambient conditions sensing device such as temperature Spend sensor, humidity sensor, PM2.5 detector, formaldehyde detector, carbon monoxide detector.Room temperature and it is indoor other The factors such as environment have a far reaching influence for family life activity.Temperature is too low may cause skin vasoconstriction, muscle and skin by It is gradually nervous;Temperature is excessively high and will lead to perspiring, leads to dehydration, loses salt, aggravates heart burden.User Activity is then selected several Specifically daily routines related with health factor, such as have meal, go to the toilet, entertaining, housework, sleep.
Meal time and meal frequency have a significant impact for human health.The meal time and meal frequency of regular health There is very big facilitation for more healthy lifestyles.The passive infrared detector and placement being placed on by dining table are present Flexible force sensitive sensor on chair can be very good monitoring diet time and number, this is based on generally all being to eat using dining table Under the hypothesis of time.
Go to the toilet number and time representation human body items body index simultaneously, similar with eating habit, closes to a certain extent It is linked to metabolic system and digestive system, and the non-subjective control of Go to lavatory, more directly embodies function of human body level.It places Detection is gone to the toilet the data such as times time frequency in the passive infrared detector of toilet, monitor system makes every effort to early and finds early control It treats, it would be possible to which the physiological problem of appearance solves when beginning to show.
Sleeping time accounting 1/3 or so in one day of people, the elderly because Sleep architecture, circadian system change, Greatly reduce sleeping time, sleeping time has occupied about in one day 1/4 or so time.Somnus facients include deep Layer sleep is reduced, shallow sleep increases, night wakes up, and number increases, and in addition the elderly, which gets up in the night to urinate to go to toilet, also results in sleep continuity It interrupts, its sleeping time can be judged by the flexible force sensitive sensor and Passive Infrared Sensor being placed on mattress, then The sleep activity quality of the elderly is judged in conjunction with other area sensor detection datas.
Behavior monitoring uses PIR (passive infrared, Passive infrared detectors) sensor, and the passive type is red The infrared ray of the peculiar 10um that outer probe is issued by detection human body or so works, and passes through Fresnel lens for people Body heat, which is released, to be pooled on sensing probe as far as possible, and investigative range is greatly improved.Pressure data acquisition using FSR (pressure-sensitive variable resistance, Force Sensing Resistor) sensor, FSR is a kind of resistance value reduction with pressure increase on active surface Macromolecule membrane (PVDF thin film) is a kind of with higher sensitivity pressure sensor, can suitably select divider resistance, according to point Bucklingization reflects pressure change.
For being placed in markup article, cup, Medicine box, broom including being commonly used to drink water drag acceleration transducer Etc. can be used as on the article of activity mark.Change determining work as by perceiving the acceleration transducer numerical value being placed on article Preceding activity, and by this data in conjunction with behavior range, whether comprehensive descision is in certain activity.Electric apparatus sensing device is then It is mounted on the perception of electrical appliance plug jack junction electric appliance use time, including water heater, electric fan, television set etc..Detect electric appliance Use time can preferably determine inactivity period, also comprise water heater, gas-cooker etc. it is possible that electricity consumption danger electricity Device may be had serious consequences using overlong time, can set pre-warning time, once it is more than just to issue alarm signal.
Indoor positioning further includes the RFID detection device of paving under carpets, and detection is embedded in the passive ID label of slippers bottom Card obtains identity information.In view of household situations, 125KHz low frequency RFID module has been selected.Because RFID module itself is for electricity Sense require it is high, according to DC-DC or Switching Power Supply etc. with inductively or capacitively circuit power supply can extreme influence card reading away from From, it is contemplated that it powers using the battery supply power supply of 5V or so or using three-terminal voltage-stabilizing pipe.In this embodiment, using three sections No.5 cell power supply, and in the electrolytic capacitor of one 1000uF of power output end parallel connection to improve electrical stability.
RFID detector can be placed in two room intersections, each after in front of the door to place at one, for detecting human action rail Mark such as detects that there is signal sending in parlor and toilet connecting place, track is judged further according to RFID sending sequence, if parlor is first sent out Signal out, toilet issue signal again, then determine that people enters toilet from parlor.In multi-user family, it is necessary to wrap The people of different identity can be classified in system algorithm, be built to determine the user identity of trigger sensor by part containing identification Independent identity health account data are found, the health indicator of single user is precisely defined.
Temperature and humidity acquisition module needs timing acquiring data, according to seasonal factor, outdoor temperature humidity and some other Part provides to adjust and suggests such as multi-pass wind to carry out early warning.It is the general colorless and odorless of room air pollution, not noticeable, with ring The aggravation of border problem, the factor for influencing indoor air quality also become more and more, cause very big threat to human health.Tentatively Indoor gas monitor using PM2.5, formaldehyde, carbon monoxide as index, assess air quality.Journey is polluted by monitoring indoor gas Degree, the comprehensive same day outdoor gaseous environment, provides some of the recommendations.Additionally by monitoring bedroom gaseous mass, sentence in conjunction with sleep state Fixed, available indoor gas is contacted with sleep.The temperature humidity environmental data of acquisition will also be integrated with activity data It discusses.
Embodiment 2: interactive voice information processing end
A set of voice interactive system towards old man can be provided according to embodiments of the present invention, and is directed to old man's characteristic voice Algorithm optimization is done.
Voice module is made of microphone array and sound equipment, is directly connect with home gateway.In home environment There are a large amount of noises, such as ambient noise and some burst noises, therefore we select microphone array to set as radio reception It is standby.Microphone array can be realized the function of receiving voice signal within the scope of 5 meters of radius, facilitate user in the random angle of family Falling can be by our health supervision assistant of voice control.And sound equipment can then play the information that some users need, than Such as user health situation and warning information.
In the present invention, speech recognition and composition algorithm are based primarily upon speech recognition and synthesis calculation in Baidu's AI open platform Method.The algorithm use of Baidu is more convenient, we are provided with several keywords first to realize voice arousal function.When user sends out Out when the instruction of " health status ", home gateway call database in health factor data and by speech synthesis technique to It is broadcasted at family;When user issues the instruction of " wechat call ", home gateway is by calling the library itchat of python to log in Wechat and the message that request call is issued to specified WeChat ID, this WeChat ID may belong to children or doctor;When user sends out Out when the instruction of Alarm, home gateway then can be to specified WeChat ID alert.Family endowment or community are supported Old old man, the WeChat ID of a fixed reception alarm can be set in we, on duty by special messenger's twenty four hours, can be convenient Care provider copes with emergency situations in time.
Baidu's voice has used speech recognition REST API, is requested using HTTP mode, is applicable to the language of any platform Sound identification application, SDK can be judged automatically and be drawn using local engine or cloud according to current network conditions and the type of instruction Hold up carry out speech recognition.If necessary to more accurate recognition result, developer can voluntarily upload dictionary, the exclusive identification of training Model.The corpus of submission is more, more complete, and the effect promoting of speech recognition can be also more obvious.
And Speech Synthesis Algorithm, then it supports that Chinese, English are mixed and reads, male voice, female voice, child's voice, emotion male voice are available, more It supports word speed, tone, volume, audio code rate setting, allows application can be with the tone color of the needs of unrestricted choice oneself.And synthesize effect Fruit can bring the comfortable audio experience of user close to true man's sounding, remarkable fluency, and great expressive force.
Embodiment 3: local data handles analytical integration terminal and cloud data storage analysis end
The process flow of raspberry pie can be provided according to embodiments of the present invention, and raspberry pie receives wireless pass by algorithm routine Feel data.Raspberry pie will open multiple processes simultaneously in embodiment, and each process opens a port for receiving data.Such as Port 8000 can be used to receive PIR data, and port 8010 is used to receive FSR data.Since a port can only receive simultaneously One data needs to be arranged sensor position, guarantee same to guarantee that the same port will not receive multiple data simultaneously Only one sensor issues data in one period same type of sensor.
The data being collected into consist of two parts, and prefix data has position mark, are such as placed on the PIR prefix label of bedside For " BEDP ", second part is sensing data.Raspberry pie end will be split classification to the character string being collected into, and record collection The time of data.Data are packaged by raspberry pie end by same time hop counts according to according to setting format, guarantee data privacy and Fault-tolerance, cloud will carry out Data Matching according to setting format, to obtain accurate data.In view of wireless sensing there may be Disconnection problem, local side needs to store multi-group data, prevents data loading error occurring caused by the unexpected disconnection of sensor ends, cloud Whether may determine that the accuracy of data after progress Data Matching, number of the local side by access is enabled by feedback is issued if there is mistake Secondary Match is carried out according to issuing again.It is as relay process that i.e. local data processing analytical integration terminal, which needs the work completed, The accuracy for guarantee data of standing, and receive cloud feedback and provide user behavior suggestion using voice broadcast sound equipment, the ventilation that such as opens a window, Close electric heater power supply, drink hot water more etc..
Cloud needs certain memory space, and system needs to store the data report at least one season, and user can be voluntarily Selection obtains the frequency of data report, and health data report will be sent to user in the form of mail or public platform push.Cloud Receive and the correctness that format match judges data carried out to data first after data, if data are errorless by data according to when Between sequential storage into timing table, carried out according to behavior classification storage as table.Two tables have corresponding judgment criteria, root According to algorithm, two tables respectively have weight, and weight ratio is finely adjusted by machine learning algorithm.The two judgment criteria, which is all based on, to be known The health standards of knowledge are judged, and the foundation of standard rule can not have to habit according to different user and carry out according to existing medical knowledge Adjustment, the algorithm of adjustment determine that user often has habit according to historical record, are accustomed to modeling adjustment weight ratio further according to user.Cloud The danger early warning algorithm at end carries out data analysis also based on knowledge.Multiple groups are splitted data into according to behavior and scope of activities to carry out Analysis, such as sleep behavior, dining behavior, Go to lavatory, sitting behavior can be classified as etc., in addition it can have bathing behavior, Housework behavior.The above behavior will distribute different weight ratios and carry out healthy judge.

Claims (10)

1. a kind of Old Age Homes based on Internet of Things nurse early warning system, which is characterized in that wireless including non-intruding passive type Sensing network end, interactive voice information processing end, Data Management Analysis integrated terminal, cloud server data storage analysis end; Wherein:
The non-intruding passive type wireless sensor network end, including ambient conditions acquisition module and behavioral activity data acquisition module Block;The ambient conditions acquisition module includes indoor environment situation acquisition module and outdoor environment situation acquisition module;The row It include behavior place judgment module, article using judgment module and user identity judgment module for activity data acquisition module; The data acquisition module is all the passive acquisition data of non-intrusion type, wherein all sensing devices be mounted on furniture, wall or It is, using lithium battery power supply, number immediately to be sent to Data Management Analysis integrated terminal by signal transmitting module on electrical outlet According to;
Interactive voice information processing end, uses microphone array and sound equipment as interactive tool;Interactive voice information processing End is connected directly with Data Management Analysis integrated terminal;Interactive voice information processing end, which also receives, instantaneously cries for help and issues alarm signal Number, while providing voice broadcast suggestion guidance;
The Data Management Analysis integrated terminal uses miniature applications processor as core processing module, miniature applications processing Device is after the signal for receiving wireless sensor network and the transmission of voice mutual information processing end, integrated signal data of classifying, Xiang Yun It holds server to upload data, and receives cloud server feedback control interactive voice information processing end and provide voice broadcast suggestion to refer to It leads;
The cloud server data storage analysis end, connect, by wherein with the data analytical integration terminal called in family Data processing software system, health Evaluation judgement is made to data-signal, provide health evaluating report;If dangerous pre- Million, provide respective feedback;All data storages beyond the clouds, are supplied to doctor and do subsequent analysis.
2. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that the ring The information of border situation acquisition module acquisition includes: temperature, humidity, PM2.5, formaldehyde, carbon monoxide;It is indoor to be installed simultaneously with outdoor Multiple sensors are used for comparing;Behavior place judgment module includes infrared sensing device, pressure sensor device, is mounted on It is used to perceive scope of activities on wall and seat;Article includes acceleration sensing device, electric apparatus sensing using judgment module Device, acceleration sensing device are mounted on every-day object, for perceiving article use time;The installation of electric apparatus sensing device In electrical appliance plug jack junction, for perceiving electric appliance use time;User identity judgment module include RFID reader device with And the passive ID card of identity label, the passive ID card of identity label are mounted on slippers bottom, RFID reader device is mounted on floor; RFID reader device judges corresponding identity by reading the passive ID of slippers bottom and sticking into.
3. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that described non- It invades passive type sensing network and collects various information, obtain the instant situation of indoor environment and outdoor environment, and the old day for human beings Normal life-form structure;Life of elderly person environment and animation superiority and inferiority can be judged based on existing knowledge and carry out qualitative analysis, adopted Collection data are supplied to follow-up data processing software system, comprehensive analysis the Health Status of Elders.
4. the Old Age Homes according to claim 3 based on Internet of Things nurse early warning system, which is characterized in that the number Using raspberry pie according to processing analytical integration terminal is core processing module, and pretreated data are sent into cloud service by raspberry pie Device carries out the final processing analytical integration of data.
5. the Old Age Homes according to claim 3 based on Internet of Things nurse early warning system, which is characterized in that the number It include the Health Status of Elders parser according to processing software system, which passes through general health of the functional value between 0 to 1 The factor embodies the health status of old solitary people, and the general health factor is found out by four classification health factors weightings, four classification Health factor respectively be sleep health factor, health factor of eating, the health factor that goes to the toilet, sitting health factor, knowledge based and Test data provides classification health factor analytic expression, and acquisition activity data value, which is brought into, can provide health factor numerical value.
6. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that cloud clothes The major function at business device data storage analysis end is to realize that the storage of data and analysis are handled, and algorithm is Knowledge based engineering health shape Condition judgement, and historical data base is compared with available data, analyze the change situation of health status;Its function includes to danger Dangerous signal makes early warning feedback, issues early warning to children by wechat, short message;It further include providing suggestion to indoor environment variation to refer to It leads, old man is prompted by voice broadcast.
7. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that invaded non- Enter passive type Wuxi sensing network end, behavioral activity sensing device includes: passive infrared detector, flexible force sensitive sensor, adds Velocity sensor, electric apparatus sensor, RFID detector, ambient conditions sensing device include temperature sensor, humidity sensor Device, PM2.5 detector, formaldehyde detector, carbon monoxide detector;User Activity is selected several specifically related with health factor Daily routines, including have meal, go to the toilet, entertaining, housework and sleep;
The flexible force sensitive sensor of the passive infrared detector and placement being placed on by dining table on the seat, when for monitoring diet Between and number;
It is placed on the passive infrared detector of toilet detection goes to the toilet times time frequency data, to ensure early to find early control It treats, it would be possible to which the physiological problem of appearance solves when beginning to show;
Patient sleeps' time is judged by the flexible force sensitive sensor and Passive Infrared Sensor that are placed on mattress, in conjunction with Other area sensor detection datas judge the sleep activity quality of the elderly;
Behavior monitoring uses pir sensor, the infrared ray for the peculiar 10um which is issued by detection human body And work, and can be pooled to as far as possible human body heat-releasing on sensing probe by Fresnel lens, to extend detection model It encloses;Pressure data acquisition uses pressure-sensitive variable-resistance transducer;
Acceleration transducer is placed on markup article, and the markup article includes the cup for being commonly used to drink water, Medicine box Or broom mop is as on the article of activity mark;Change determination by perceiving the acceleration transducer numerical value being placed on article Current active, and by this data in conjunction with behavior range, whether comprehensive descision is in certain activity;Electric apparatus sensing device Then it is mounted on electrical appliance plug jack junction perception electric appliance use time;The detector use time can preferably determine work The dynamic period;In addition, the electric appliance usage time for being likely to occur electricity consumption danger for water heater, gas-cooker etc. is too long may to be brought sternly Weight consequence, sets pre-warning time, once it is more than just to issue alarm signal;
Indoor positioning further includes the RFID detection device of paving under carpets, and the passive ID label card that detection is embedded in slippers bottom obtains Obtain identity information;
RFID detector is placed in two room intersections, each after in front of the door to place at one, for detecting human action track, including It detects that there is signal sending in parlor and toilet connecting place, track is judged further according to RFID sending sequence, if parlor first issues letter Number, toilet issues signal again, then determines that people enters toilet from parlor;It include identification in multi-user family Also the people of different identity is classified in system algorithm, establishes independent body to determine the user identity of trigger sensor in part Part health account data, precisely define the health indicator of single user;
Temperature and humidity acquisition module timing acquiring data are carried out according to seasonal factor, outdoor temperature humidity and some other condition Early warning provides adjusting and suggests;Including preliminary indoor gas is monitored using PM2.5, formaldehyde, carbon monoxide as index, assesses air Quality;By monitoring indoor gas pollution level, the comprehensive same day outdoor gaseous environment provides suggestion;Additionally by monitoring bedroom Gaseous mass determines in conjunction with sleep state, obtains indoor gas and contacts with what is slept;The temperature humidity environmental data of acquisition also will Discussion is integrated with activity data.
8. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that in voice Interactive information processing end forms voice module by microphone array and sound equipment, directly connect with home gateway;
In interactive voice information processing end, speech recognition and composition algorithm are based primarily upon the knowledge of the voice in Baidu's AI open platform Not and composition algorithm;Several keywords are set first to realize voice arousal function;When user issues the instruction of " health status " When, home gateway calls the data of health factor in database and is broadcasted by speech synthesis technique to user;Work as user When issuing the instruction of " wechat call ", home gateway is by calling the library the itchat login wechat of python and to specified WeChat ID Issue the message of request call;When user issues the instruction of Alarm, home gateway then issues alarm signal to specified WeChat ID Breath;For the old man of family endowment or community endowment, the WeChat ID of the fixed reception alarm of setting one, by special messenger 24 Hour is on duty, to facilitate care provider to cope with emergency situations in time;
Baidu's voice uses speech recognition REST API, is requested using HTTP mode, the speech recognition suitable for any platform is answered With SDK is judged automatically according to current network conditions and the type of instruction and carried out voice knowledge using local engine or cloud engine Not;
Speech Synthesis Algorithm, supports Chinese, English are mixed to read, and male voice, female voice, child's voice, emotion male voice voice also support word speed, sound Tune, volume, audio code rate setting.
9. the Old Age Homes according to claim 1 based on Internet of Things nurse early warning system, which is characterized in that local number According to processing analytical integration terminal in, the process flow of raspberry pie are as follows: pass through algorithm routine receive wireless sensing data;Raspberry pie is same The multiple processes of Shi Kaiqi, each process open a port for receiving data;It will not be received to guarantee the same port simultaneously Multiple data, are arranged sensor position, guarantee that only one sensor issues in section same type of sensor at the same time Data;
The data being collected into consist of two parts, and prefix data has position mark, and the PIR prefix including being placed on bedside is labeled as " BEDP ", second part are sensing data;Raspberry pie end is split classification to the character string being collected into, and records collection data Time;Data are packaged by raspberry pie end by same time hop counts according to according to setting format, guarantee the privacy of data and fault-tolerant Property, cloud will carry out Data Matching according to setting format, to obtain accurate data;In view of wireless sensing is that may be present disconnected Even problem, local side need to store multi-group data, prevent data loading error occurring caused by the unexpected disconnection of sensor ends, and cloud carries out Whether judging the accuracy of data after Data Matching, local side is enabled to send out the data of access again by feedback is issued if there is mistake Secondary Match is carried out out, i.e., it is to guarantee number as relay process station that local data processing analytical integration terminal, which needs the work completed, According to accuracy, and receive cloud feedback using voice broadcast sound equipment provide user behavior suggestion, including windowing ventilation, close electricity Water heater power supply drinks hot water more;
, there is reasonable memory space at the cloud server data storage analysis end, for storing the data at least one season Report, user can voluntarily select to obtain the frequency of data report, and health data report will be in the form of mail or public platform push It is sent to user;Cloud receives and carries out format match to data first after data, judges the correctness of data, if data without Accidentally, then data are stored according to time sequencing into timing table, is carried out according to behavior classification storage as table;Two tables have pair The judgment criteria answered, according to algorithm, two tables respectively have weight, and weight ratio is finely adjusted by machine learning algorithm;The two is commented Sentence standard and be all based on the health standards of knowledge and judge, the foundation of standard rule, and can be according to difference according to existing medical knowledge User does not have to habit and is adjusted, and the algorithm of adjustment determines that user often has habit according to historical record, is accustomed to further according to user Modeling adjustment weight ratio;The danger early warning algorithm in cloud carries out data analysis also based on knowledge;According to behavior and scope of activities It splits data into multiple groups to be analyzed, including is classified as sleep behavior, dining behavior, Go to lavatory, sitting behavior;For above Behavior distributes different weight ratios and carries out healthy judge.
10. a kind of the Health Status of Elders appraisal procedure based on system described in one of claim 1-9, which is characterized in that logical The general health factor of the functional value between 0 to 1 is crossed to embody the health status of old solitary people, the general health factor is by four points Class health factor weighting find out, four classification health factors respectively be sleep health factor, health factor of eating, go to the toilet it is healthy because Son, sitting health factor, knowledge based and test data provide classification health factor analytic expression, obtain activity data value and bring into i.e. Health factor numerical value can be provided;Wherein:
Sleep health factor: assuming that the sleeping time health factor function being derived from by sleeping time is, sleeping time sets For T1, unit is hour, obtains sleeping time health factor function through fitting;If acquiring subject's data Obtained time for falling asleep is t1, unit is hour, and time for falling asleep health factor function is, obtained via fitting, time for falling asleep Health factor function;If the number of getting up in the night to urinate that acquisition subject's data obtain isN 1, number health of getting up in the night to urinate because Son is, it is fitted, number health factor function of getting up in the night to urinate
Sleep health factor be that final result is combined by three health factor difference weights, setting weight be respectively P1, P2, P3, knowledge based and test data, health factor of finally sleeping:
Dining health factor: it is made of two parts, is meal time T respectively2, unit is hour, and dining moment t2, unit For hour, fitting is obtained, wherein,;P1, P2 power Weight;
Go to the toilet health factor: being made of two parts, is the time T that goes to the toilet respectively3, unit is hour, and the times N that goes to the toilet2, fitting It obtains, wherein,, P1, P2 weight;
Sitting health factor: only sitting time T4Assessment, unit is hour, and fitting obtains
The general health factor is after data are fitted
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Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109885010A (en) * 2019-03-20 2019-06-14 中南大学 The health combined based on multi-Agent and Internet of Things sees maintaining method, device and storage medium
CN109875518A (en) * 2019-04-02 2019-06-14 浙江和也健康科技有限公司 A kind of multi-user's sleep state synchronous monitoring system and monitoring method
CN110074702A (en) * 2019-04-30 2019-08-02 重庆小善健康科技有限公司 A kind of intelligence salt cellar
CN111202503A (en) * 2020-01-21 2020-05-29 江苏乾元通信息科技有限公司 Household physical sign monitoring device and control method thereof
CN111755123A (en) * 2020-06-24 2020-10-09 重庆电子工程职业学院 Intelligent medical system based on user privacy
CN112235740A (en) * 2019-07-15 2021-01-15 北京健康扬帆科技有限公司 Individual work and rest monitoring method and system based on Internet of things
CN112233377A (en) * 2020-12-10 2021-01-15 江西云本数字科技有限公司 Internet of things monitoring and early warning equipment
CN112883608A (en) * 2021-01-27 2021-06-01 宁波工程学院 Health index evaluation method and system for truss bridge
CN113204195A (en) * 2021-04-25 2021-08-03 南京理工大学 Intelligent home system suitable for old people
CN113485187A (en) * 2021-07-08 2021-10-08 南京航空航天大学 Indoor energy consumption waste monitoring system and monitoring method thereof
CN113509156A (en) * 2021-05-28 2021-10-19 郑州轻工业大学 Adaptive information processing method, system and storage medium based on behavior characteristics of old user
CN114582451A (en) * 2022-02-10 2022-06-03 湖南思码智链教育科技有限责任公司 Intelligent toilet monitoring system and method
CN114727902A (en) * 2019-10-08 2022-07-08 席拉博迪股份有限公司 Intelligent engine system and method
CN115054203A (en) * 2022-06-10 2022-09-16 武汉诺兴康医疗科技有限公司 Health data intelligent online monitoring analysis management cloud platform based on digitization
CN115063752A (en) * 2022-08-15 2022-09-16 杭州中芯微电子有限公司 Video tracking early warning method and system based on UWB positioning
CN116319923A (en) * 2023-05-11 2023-06-23 三亚明熹一品信息技术服务有限公司 Double-network-port control system for customizing multi-channel acquisition signals of healthy robot
CN116580828A (en) * 2023-05-16 2023-08-11 深圳弗瑞奇科技有限公司 Visual monitoring method for full-automatic induction identification of cat health
CN116646069A (en) * 2023-06-01 2023-08-25 深圳市震有智联科技有限公司 Intelligent care system and care method for aged people based on internet of things (IoT)
CN117133464A (en) * 2023-10-26 2023-11-28 中国人民解放军总医院第二医学中心 Intelligent monitoring system and monitoring method for health of old people
CN117268460A (en) * 2023-08-16 2023-12-22 广东省泰维思信息科技有限公司 Indoor and outdoor linkage monitoring method and system based on Internet of things
CN117711617A (en) * 2023-11-28 2024-03-15 北京宜善医学科技有限公司 Health assessment method and system based on deep learning
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CN118629153A (en) * 2024-04-03 2024-09-10 金陵科技学院 Sudden death prevention alarm system based on Internet of things technology

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070197881A1 (en) * 2006-02-22 2007-08-23 Wolf James L Wireless Health Monitor Device and System with Cognition
CN103325080A (en) * 2013-06-21 2013-09-25 电子科技大学 Gerocamium intelligent nursing system and method based on Internet of Things technology
CN103393412A (en) * 2013-08-15 2013-11-20 重庆邮电大学 Intelligent home based old person caring device
CN103927847A (en) * 2014-04-18 2014-07-16 深圳市丰泰瑞达实业有限公司 Intelligent nursing system for old people
CN105096630A (en) * 2015-08-19 2015-11-25 天津市中环电子计算机有限公司 Internet of things-based vehicle information monitoring system and method
CN105260973A (en) * 2015-11-19 2016-01-20 东北电力大学 Big data and Internet-based agedness health monitoring system
CN205285829U (en) * 2015-11-26 2016-06-08 上海雷跃智能科技有限公司 Healthy cup
CN105740621A (en) * 2016-01-29 2016-07-06 江阴中科今朝科技有限公司 Moving monitoring and intelligent aged nursing health cloud platform of human body behavior data
CN105997015A (en) * 2016-06-12 2016-10-12 浙江大学 Wearable device for animal vital sign multi-parameter monitoring
CN206075476U (en) * 2016-05-27 2017-04-05 盐城卫生职业技术学院 A kind of intelligent family endowment system
CN106777954A (en) * 2016-12-09 2017-05-31 电子科技大学 The intelligent guarding system and method for a kind of Empty nest elderly health
JP2017168098A (en) * 2016-03-11 2017-09-21 インフィック株式会社 Watching system and life support proposing system
CN107788966A (en) * 2017-10-30 2018-03-13 天津大学 A kind of family health care monitor control system
CN107886677A (en) * 2017-11-21 2018-04-06 哈尔滨理工大学 A kind of the elderly's gait household monitoring system based on Kinect
CN107945874A (en) * 2017-11-15 2018-04-20 北京军秀咨询有限公司 A kind of senior health and fitness's evaluation system based on internet
CN108042140A (en) * 2017-11-02 2018-05-18 四川建筑职业技术学院 A kind of Old Age Homes' monitor system based on Internet of Things and fall down detection method

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070197881A1 (en) * 2006-02-22 2007-08-23 Wolf James L Wireless Health Monitor Device and System with Cognition
CN103325080A (en) * 2013-06-21 2013-09-25 电子科技大学 Gerocamium intelligent nursing system and method based on Internet of Things technology
CN103393412A (en) * 2013-08-15 2013-11-20 重庆邮电大学 Intelligent home based old person caring device
CN103927847A (en) * 2014-04-18 2014-07-16 深圳市丰泰瑞达实业有限公司 Intelligent nursing system for old people
CN105096630A (en) * 2015-08-19 2015-11-25 天津市中环电子计算机有限公司 Internet of things-based vehicle information monitoring system and method
CN105260973A (en) * 2015-11-19 2016-01-20 东北电力大学 Big data and Internet-based agedness health monitoring system
CN205285829U (en) * 2015-11-26 2016-06-08 上海雷跃智能科技有限公司 Healthy cup
CN105740621A (en) * 2016-01-29 2016-07-06 江阴中科今朝科技有限公司 Moving monitoring and intelligent aged nursing health cloud platform of human body behavior data
JP2017168098A (en) * 2016-03-11 2017-09-21 インフィック株式会社 Watching system and life support proposing system
CN206075476U (en) * 2016-05-27 2017-04-05 盐城卫生职业技术学院 A kind of intelligent family endowment system
CN105997015A (en) * 2016-06-12 2016-10-12 浙江大学 Wearable device for animal vital sign multi-parameter monitoring
CN106777954A (en) * 2016-12-09 2017-05-31 电子科技大学 The intelligent guarding system and method for a kind of Empty nest elderly health
CN107788966A (en) * 2017-10-30 2018-03-13 天津大学 A kind of family health care monitor control system
CN108042140A (en) * 2017-11-02 2018-05-18 四川建筑职业技术学院 A kind of Old Age Homes' monitor system based on Internet of Things and fall down detection method
CN107945874A (en) * 2017-11-15 2018-04-20 北京军秀咨询有限公司 A kind of senior health and fitness's evaluation system based on internet
CN107886677A (en) * 2017-11-21 2018-04-06 哈尔滨理工大学 A kind of the elderly's gait household monitoring system based on Kinect

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
柳晶等: "面向老年公寓的智能安防及看护系统设计研究", 《机械设计及制造工程》 *

Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN109875518A (en) * 2019-04-02 2019-06-14 浙江和也健康科技有限公司 A kind of multi-user's sleep state synchronous monitoring system and monitoring method
CN110074702A (en) * 2019-04-30 2019-08-02 重庆小善健康科技有限公司 A kind of intelligence salt cellar
CN112235740A (en) * 2019-07-15 2021-01-15 北京健康扬帆科技有限公司 Individual work and rest monitoring method and system based on Internet of things
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CN111202503A (en) * 2020-01-21 2020-05-29 江苏乾元通信息科技有限公司 Household physical sign monitoring device and control method thereof
CN111755123A (en) * 2020-06-24 2020-10-09 重庆电子工程职业学院 Intelligent medical system based on user privacy
CN112233377A (en) * 2020-12-10 2021-01-15 江西云本数字科技有限公司 Internet of things monitoring and early warning equipment
CN112883608A (en) * 2021-01-27 2021-06-01 宁波工程学院 Health index evaluation method and system for truss bridge
CN112883608B (en) * 2021-01-27 2023-08-08 宁波工程学院 Truss bridge health index evaluation method and system
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CN113509156B (en) * 2021-05-28 2023-12-15 郑州轻工业大学 Self-adaptive information processing method, system and storage medium based on behavioral characteristics of old users
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CN115054203B (en) * 2022-06-10 2022-12-20 成都熙福爱存健康管理有限公司 Health data intelligent online monitoring analysis management cloud platform based on digitization
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