CN110544541A - monitoring and evaluating system for life and health state of old people - Google Patents

monitoring and evaluating system for life and health state of old people Download PDF

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Publication number
CN110544541A
CN110544541A CN201910772051.9A CN201910772051A CN110544541A CN 110544541 A CN110544541 A CN 110544541A CN 201910772051 A CN201910772051 A CN 201910772051A CN 110544541 A CN110544541 A CN 110544541A
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health
data
physiological
psychological
feedback information
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CN110544541B (en
Inventor
吴瑛
范环
肖树芹
杨芳宇
王艳玲
张继文
肖艳艳
杨雪
郑子玲
汤丽娟
王大庆
顾垒
范萌
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Capital Medical University
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Capital Medical University
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The invention relates to a monitoring and evaluating system for life and health states of old people, which comprises a detection module, a monitoring module and a monitoring module, wherein the detection module is used for collecting physiological data and/or psychological data of the old people; the data processing module is used for generating feedback information which can be used for evaluating the life and health state of the old based on the physiological data and/or the psychological data; the cloud end is used for storing the feedback information to form a feedback information database; the reference terminal is used for displaying the feedback information so as to be convenient for the old to refer; the cloud end stores second feedback information before the acquisition period, the data processing module generates first feedback information from the physiological data and/or the psychological data acquired by the detection module in the acquisition period, and the first feedback information is displayed on the reference terminal based on the second feedback information according to a mode capable of evaluating the relative health trend of the old.

Description

Monitoring and evaluating system for life and health state of old people
Technical Field
The invention relates to the technical field of monitoring of old people, in particular to a monitoring and evaluating system for life and health states of old people.
Background
Since the number of aging groups is increasing, monitoring and evaluation of the life and health status of the elderly has become a technical issue of attention in the field of elderly monitoring technology. For example, the mini-cog experiment adopted by the "old people ability evaluation standard" issued by the national ministry of civilization in 2013 is influenced by the first-level education degree of traditional culture and physical condition, so that the actual evaluation difficulty is high, and the evaluation effect is poor. Therefore, it is necessary to form a scientific, reasonable and normative evaluation and method for the life and health status of the elderly.
For example, chinese patent publication No. CN106599542A discloses a method and system for evaluating the comprehensive ability of the elderly. The evaluation method comprises the following steps: the method comprises the steps that firstly, based on comprehensive ability data information of the old people to be evaluated, evaluation index judgment rules are utilized to obtain grade values of all ability evaluations; and secondly, multiplying the grade values and the weight coefficients of the various ability evaluations by the grade values and the weight coefficients to obtain an index of the comprehensive ability of the old, and obtaining the grade of the comprehensive ability of the old by the evaluation rule of the grade of the comprehensive ability of the old.
for example, chinese patent publication No. CN106777872A discloses a method for evaluating life quality of an elderly person based on an intelligent wearing technology. According to the method, the intelligent wearable device and the intelligent terminal are used for collecting data, and the quality of life of a monitored object is analyzed by integrating various human body states. The method comprises the following steps: the first step, determining the index for evaluating the life quality of the old people, comprises the following steps: physiological function indexes, psychological function indexes and social function indexes, and acquiring composition factors and data of each index, and synchronizing all the acquired data into a database of the intelligent health platform; step two, judging whether the data volume of each index in the database reaches a threshold value, if so, jumping to the step three, otherwise, jumping to the step one; thirdly, carrying out non-dimensionalization treatment on all the composition factors according to the characteristics of different composition factors, carrying out forward conversion on the reverse indexes, and calculating the scores of the composition factors; fourthly, adding the scores of all the factors to obtain an old age vitality index score; and evaluating the life quality of the old according to the score of the activity index of the old.
For example, chinese patent publication No. CN107688911A discloses a method, system and device for evaluating the care needs of the elderly. The method comprises the following steps: firstly, obtaining evaluation results of various secondary indexes; secondly, acquiring a corresponding primary index evaluation result according to the secondary index evaluation result, wherein the primary index comprises cognitive function, emotion, mental behavior problem, visual and auditory sense and communication, basic daily life activity capacity, tool daily life activity capacity, health condition and social life environment; and thirdly, acquiring the care service requirement items and the care grades of the old according to the first-level index evaluation result.
For example, chinese patent publication No. CN106169031A discloses a cloud-based system and method for evaluating medical health of elderly people. The method comprises the following steps: the health assessment server receives user information sent by the client terminal through a network, generates an assessment file comprising a plurality of health assessment scales according to the user information, assesses the health assessment scales according to a preset assessment standard, obtains an assessment result file, generates a corresponding report and feeds the report file back to the client terminal. The whole health assessment process is completed by the health assessment server arranged at the cloud end, and a user can remotely complete the health assessment only by establishing communication with the health assessment server through the client terminal.
For example, chinese patent publication No. CN107945874A discloses an internet-based system for evaluating the health of elderly people. The system comprises a health evaluation module, an invasive project evaluation module, a non-invasive project evaluation module, a life style evaluation module and a family environment evaluation module, wherein the input end of the health evaluation module is electrically connected with the output end of the invasive project evaluation module in a one-way mode. The invention can accurately evaluate the physical function, the psychological state, the life style and the aging performance of the family living environment of the old, determine the care level, write a health evaluation report, and make a personalized nursing guidance scheme and a nursing execution plan.
For example, chinese patent publication No. CN105260973A discloses an elderly health monitoring system based on big data and internet. The computer built-in APP and the mobile phone built-in APP used by the old people and wearing the information acquisition bracelet are respectively in signal connection with the emergency alarm APP, the health assessment platform and the health maintenance information pushing platform, the emergency alarm APP is respectively in signal connection with the health assessment platform and the health maintenance information pushing platform through a big database, and the emergency alarm APP sends emergency information, GPS positioning and early warning information to the medical center terminal computer and the family mobile phone APP; the old people are in signal connection with the health assessment platform through the information acquisition bracelet, and disease alarming and disease early warning are carried out from the two aspects of information statistics of similar people and comparison of historical data of users by combining the personal database and the large database in signal connection with the personal database.
For example, chinese patent publication No. CN106570320A discloses a system for predicting behavior health of an elderly person. The system utilizes the technology of the Internet of things to analyze and research the behavior data of the old people by utilizing calculus, statistics, artificial intelligence algorithm, deep learning technology and the like on the basis of collecting the daily behavior data of the old people living in the nursing home. By analyzing the similarities and differences of the individual and group behavior data of the old people, finding out the general activity rule of the old people, establishing a health model, and judging the health condition of the old people by combining the behavior data with the health model; screening the elderly with mental diseases and physical diseases, comparing the behavior data of the elderly with the behavior data of normal elderly, and finding out the characteristics of abnormal individuals.
However, the health status of elderly people is increasingly getting worse with age. The existing health status assessment directly gives the assessment result, while the two previous and next assessment results, the latter assessment results are more probabilistically or almost worse than the former assessment results, which may directly or indirectly affect the psychology of the elderly. Therefore, there is a need for a monitoring and evaluating system for life and health status of the elderly to overcome the technical problem and avoid psychological stress on the elderly.
furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the inventor has studied a lot of documents and patents when making the present invention, but the space is not limited to the details and contents listed in the above, however, the present invention is by no means free of the features of the prior art, but the present invention has been provided with all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a monitoring and evaluating system for the life and health state of old people, relating to a monitoring and evaluating system which can evaluate the physiological health state and/or psychological health state of old people according to the physiological data and/or psychological data of the old people in life based on cloud, and comprising: the detection module is used for acquiring physiological data which can be used for evaluating the physiological health state of the old and/or psychological data which can be used for evaluating the psychological health state of the old; the data processing module is connected with the detection module through wireless and/or wired communication and at least comprises a physiological characteristic measuring and calculating unit, a psychological characteristic measuring and calculating unit and a fusion unit, the physiological characteristic measuring and calculating unit calculates the physiological data through a preset physiological operation model to generate physiological health characteristic data, the psychological characteristic measuring and calculating unit calculates the psychological data through a preset psychological operation model to generate psychological health characteristic data, and the fusion unit generates first feedback information based on the physiological health characteristic data and/or the psychological health characteristic data; the cloud end is connected with the data processing module through wireless communication so as to be capable of realizing transmission interaction of the first feedback information, and can read the monitoring advice from an expert database based on the relative trend formed by comparing the second feedback information stored in the cloud end with the corresponding first feedback information, and the cloud end refers to a terminal for displaying the relative trend and/or the monitoring advice, so that the old people can conveniently refer to the monitoring advice.
the detection module sends the physiological data and/or the psychological data acquired in the acquisition period to the physiological characteristic measuring and calculating unit and/or the psychological characteristic measuring and calculating unit in an energy-saving mode, so that the fusion unit can generate the first feedback information under the condition that the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the psychological health characteristic data reaches the corresponding preset number. According to this arrangement of the invention: on one hand, the energy consumption of the detection module can be reduced, so that the data processing module does not need to operate continuously, and the operation cost is reduced; and the technical problem of incorrect characteristic data caused by data missing can be effectively solved.
The cloud updates the second feedback information before the current acquisition period in a manner of iterating the first feedback information to the second feedback information before the current acquisition period, so that the cloud can compare the updated second feedback information with the first feedback information of the next acquisition period to form another relative trend, and the cloud reads another monitoring suggestion from the expert database based on the another relative trend formed in the next acquisition period. The system adopts the relative health value to evaluate the health state of the old, the relative health value is used for describing the change trend of the health state of the old, and the change speed of the health state of the old can be reflected within a certain time period; the relative health value is obtained by comparing with second feedback information of the old person to be evaluated, namely the reference standard of the relative health value is past health data of the old person to be evaluated, so that the relative health value can be presented to the old person in a non-quantitative mode, the circle of the solid line represents that the change of the old person relative to the past health data of the old person is smaller, the old person can only qualitatively know the change of the health state of the old person through the roundness of the circle, and the circle is approximately circular, so that the mode is more favorable for the old person to receive the own health state. The cloud end compares health characteristic data in the data processing module, so that on one hand, the operation amount of a local end (the data processing module and the detection module) is reduced, the data processing module and the detection module are miniaturized and lightened, more detection modules can be conveniently collected and arranged in a limited space, and the detection modules can be connected into different data processing modules according to the types of monitoring states, so that more elderly life data can be efficiently, energy-saving and accurately collected; on the other hand, the cloud serves as a top-level data processing terminal, has management processing capacity for health data of similar old people, can read monitoring suggestions in the expert database in combination with the relative health values, and pushes the monitoring suggestions to a reference terminal.
According to a preferred embodiment, the cloud end generates a mental relative health value corresponding to the mental health characteristic data in a one-to-one manner and/or a physiological relative health value corresponding to the physiological health characteristic data in a one-to-one manner based on the second feedback information, and the mental relative health value and/or the physiological relative health value are within the same health metering interval, so that under the condition that the cloud end is in communication connection with the reference terminal through a fifth generation mobile communication technology, the reference terminal can present the mental relative health value and/or the physiological relative health value in a non-digital manner, and the old person can read a first health status report of the old person in a non-quantitative manner; the reference terminal comprises a touch screen device, and the reference terminal and the cloud end establish communication connection through a fifth generation mobile communication technology, so that under the condition that the cloud end pushes the health status report and/or the monitoring suggestion to the reference terminal, the reference terminal can respond to the touch and/or the sound of the old people and display the first health status report in different unqualified modes and/or display the monitoring suggestion in a video mode through the fifth generation mobile communication technology.
According to a preferred embodiment, the first feedback information includes at least one mental health characteristic data and/or at least one physiological health characteristic data of a physiological health state that can be used for evaluating the mental health state of the elderly, and in a case that the number N of the mental health characteristic data is less than the corresponding preset number Nm and/or in a case that the number P of the physiological health characteristic data is less than the corresponding preset number Pm, the fusion unit generates a collection feedback signal to a detection module and/or a review module to supplement collection of the physiological data and/or the psychological data; and under the condition that the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding to the mental health characteristic data and/or under the condition that the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding to the physiological health characteristic data, the fusion unit generates the first feedback information and sends the first feedback information to a cloud end.
According to a preferred embodiment, the system comprises a guardian terminal with a touch display device, wherein the guardian terminal is used for looking up the health status of the old, and the guardian terminal is in communication connection with the cloud, so that under the condition that the cloud generates and pushes a second health status report of the physiological health characteristic data and/or the psychological health characteristic data to the guardian terminal in a quantitative manner, the guardian can read the second health status report from the guardian terminal in a quantitative manner; and/or under the condition that the cloud end generates and pushes a third health status report to the monitoring terminal in a quantitative mode according to the relative physiological health value and/or the relative psychological health value, the monitoring person can read the third health status report from the monitoring terminal in a quantitative mode; wherein the monitoring terminal can at least graphically present health characteristic data corresponding to key body tissues of the elderly in the same health state image report in an absolute health value based on the physiological health characteristic data; and/or the monitoring terminal can at least graphically present the relative physiological health value corresponding to the key body tissues of the old people in the same health state image report in a relative health value mode based on the first feedback information.
According to a preferred embodiment, the monitoring terminal can be in communication connection with the reference terminal in an indefinite time manner without information interaction through the cloud under the condition that the elderly subscribe, so that the monitoring terminal can send expert advice to the reference terminal under the condition that the guardian judges that the second health status report and/or the third health status report are abnormal through professional judgment, wherein the expert advice is at least one of video, sound, characters and pictures.
according to a preferred embodiment, the cloud end can send first prompt information for fixing the acquisition cycle of the detection module for acquiring the physiological data and/or the psychological data to the monitoring terminal when a relative health value formed by comparing the first feedback information with the second feedback information is not in a corresponding threshold value; and/or the data processing module can send second prompt information for fixing the acquisition cycle of the detection module for acquiring the physiological data and/or the psychological data to the monitoring terminal under the condition that the absolute health value of the first feedback information is not in the corresponding threshold value; and under the condition that the monitoring terminal confirms that the acquisition period is revised, the display period of the monitoring terminal is changed along with the acquisition period, so that the monitoring terminal can provide health data for the guardian along with the change of the health state of the old.
according to a preferred embodiment, the system comprises an alarm terminal in communicative connection with the data processing module, configured to: under the condition that at least one of the physiological data and/or the psychological data triggers a corresponding alarm threshold value of a monitoring database, the data processing module generates an alarm signal and pushes abnormal data triggering the alarm threshold value to the alarm terminal, and the alarm terminal sends emergency help-seeking information comprising the abnormal data to a preset medical institution terminal based on the alarm signal; and the medical institution terminal establishes 5G communication connection with a video monitor in the detection module based on the emergency help-seeking information so as to acquire the video information of the old in real time.
According to a preferred embodiment, the detection module is able to operate at least once during the acquisition cycle, and it comprises at least: the electrocardio-pulse sensor device is used for detecting the electrocardio-pulse wave information of the old people; the electrocardiogram detection electrode plate is used for detecting electrocardiogram information of the old; the temperature measuring device is used for detecting the body temperature information of the old; the voice acquisition device is used for detecting voice information of the old; and the signal collector can amplify and separate the information of the electrocardio-pulse sensor device, the temperature measuring device and the sound collecting device.
according to a preferred embodiment, the invention also discloses a monitoring and evaluating method for the life and health status of the elderly, and relates to a monitoring and evaluating method which can evaluate the physiological health status and/or psychological health status of the elderly according to the physiological data of the elderly in life based on cloud, and comprises the following steps: the detection module acquires physiological data which can be used for evaluating the physiological health state of the old and/or psychological data which can be used for evaluating the psychological health state of the old; the data processing module is configured to be a module which is connected with the detection module through wireless and/or wired communication and comprises a physiological characteristic measuring and calculating unit, a psychological characteristic measuring and calculating unit and a fusion unit, wherein the physiological characteristic measuring and calculating unit calculates the physiological data through a preset physiological operation model to generate physiological health characteristic data, the psychological characteristic measuring and calculating unit calculates the psychological data through a preset psychological operation model to generate psychological health characteristic data, and the fusion unit generates first feedback information based on the physiological health characteristic data and/or the psychological health characteristic data; the cloud end is connected with the data processing module through wireless communication so as to be capable of realizing transmission interaction of the first feedback information, the cloud end can read a monitoring suggestion from an expert database based on a relative trend formed by comparison between second feedback information stored in the cloud end and the corresponding first feedback information, and a viewing terminal displays the relative trend and/or the monitoring suggestion so as to facilitate viewing by the old; the detection module respectively sends the physiological data and/or the psychological data acquired in the acquisition period to the physiological characteristic measuring and calculating unit and/or the psychological characteristic measuring and calculating unit in an energy-saving mode; so that the fusion unit can generate the first feedback information when the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the mental health characteristic data reaches the corresponding preset number; the cloud updates the second feedback information before the current acquisition period in a manner of iterating the first feedback information to the second feedback information before the current acquisition period, so that the cloud can compare the updated second feedback information with the first feedback information of the next acquisition period to form another relative trend, and the cloud reads another monitoring suggestion from the expert database based on the another relative trend formed in the next acquisition period.
according to a preferred embodiment, the first feedback information includes at least one mental health characteristic data and/or at least one physiological health characteristic data of a physiological health state that can be used for evaluating the mental health state of the elderly, and in a case that the number N of the mental health characteristic data is less than the corresponding preset number Nm and/or in a case that the number P of the physiological health characteristic data is less than the corresponding preset number Pm, the fusion unit generates a collection feedback signal to a detection module and/or a review module to supplement collection of the physiological data and/or the psychological data; the fusion unit generates the first feedback information and sends the first feedback information to a cloud terminal under the condition that the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding to the mental health characteristic data and/or under the condition that the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding to the physiological health characteristic data; the cloud end generates a psychological relative health value corresponding to the psychological health characteristic data in a one-to-one mode and/or a physiological relative health value corresponding to the physiological health characteristic data in a one-to-one mode based on the second feedback information, and the psychological relative health value and/or the physiological relative health value are located in the same health metering interval, so that under the condition that the cloud end is in communication connection with the inquiry terminal through a fifth generation mobile communication technology, the inquiry terminal can present the psychological relative health value and/or the physiological relative health value in a non-digital mode, and the elderly can read health status reports of the elderly in a non-quantitative mode; the reference terminal comprises a touch screen device, and the reference terminal and the cloud end establish communication connection through a fifth generation mobile communication technology, so that under the condition that the cloud end pushes the health status report and/or the monitoring suggestion to the reference terminal, the reference terminal can respond to the touch and/or the sound of the old people and display the first health status report in different unqualified modes and/or display the monitoring suggestion in a video mode through the fifth generation mobile communication technology.
The invention provides a monitoring and evaluating system for life and health status of old people, which at least has the following advantages:
(1) the system adopts the relative health value to evaluate the health state of the old, the relative health value is used for describing the change trend of the health state of the old, and the change speed of the health state of the old can be reflected within a certain time period; the relative health value is obtained by comparing with second feedback information of the old person to be evaluated, namely the reference standard of the relative health value is past health data of the old person to be evaluated, so that the relative health value can be presented to the old person in a non-quantitative mode, the circle of the solid line represents that the change of the old person relative to the past health data of the old person is smaller, the old person can only qualitatively know the change of the health state of the old person through the roundness of the circle, and the circle is approximately circular, so that the mode is more favorable for the old person to receive the own health state;
(2) The system can provide different non-quantitative modes to be displayed on the reference terminal, on one hand, the system provides different modes for reading the health status for the old, and can be convenient for the old to select the favorite reading mode; on the other hand, can improve the interactive sense between old person and this system, increase old person's intelligence and experience, enrich its perception and experience, promote its perception ability.
(3) the guardian can quantitatively read the absolute health value of the old person and the relative health value of the old person at the same time under the condition that the old person can only qualitatively read the change of the health state of the old person, so that the guardian can know the change of the health state of the old person and the health state, and can make corresponding intervention decisions.
Drawings
FIG. 1 is a schematic diagram of a preferred logic of a monitoring and evaluation system according to the present invention;
FIG. 2 is a schematic diagram of an evaluation result display of a reference terminal according to the present invention;
FIG. 3 is a schematic diagram illustrating an evaluation result display of a monitoring terminal according to the present invention; and
fig. 4 is a schematic diagram of a preferred data processing module provided by the present invention.
List of reference numerals
100: the detection module 500: monitoring terminal
200: the data processing module 600: alarm terminal
300: cloud 700: monitoring database
400: the reference terminal 800: medical institution terminal
900: expert repository 200 a: physiological data measuring and calculating unit
200 b: psychological data measuring and calculating unit 200 c: fusion unit
Detailed Description
This is described in detail below with reference to fig. 1-4.
Example 1
The embodiment discloses a monitoring and evaluating system for life and health states of old people, and relates to a monitoring and evaluating system capable of evaluating the physiological health state and/or the psychological health state of old people according to physiological data of the old people in life based on cloud.
The system at least comprises a detection module 100, a data processing module 200, a cloud terminal 300, a reference terminal 400 and an expert database 900. In the present invention, the detection module 100, the data processing module 200, the cloud 300, the reference terminal 400, and the expert database 900 may all adopt existing modules or terminals.
The detection module 100 collects physiological data that can be used to evaluate the physiological health status of the elderly and/or psychological data that can be used to evaluate the psychological health status of the elderly. Preferably, the detection module 100 includes an electrocardiograph pulse sensor device, an electrocardiograph detection electrode plate, a temperature measuring device and a signal collector. The electrocardio-pulse sensor device is used for detecting the electrocardio-pulse wave information of the old. The electrocardiogram detection electrode plate is used for detecting electrocardiogram information of the old. The temperature measuring device is used for detecting the body temperature information of the old. And the sound acquisition device is used for detecting sound information of the old. And the signal collector can amplify and separate the information of the electrocardio-pulse sensor device, the temperature measuring device and the sound collecting device so that the data processing module 200 can generate characteristic data which can be used for evaluating the life and health state of the old.
And the data processing module 200 is connected with the detection module 100 through wireless and/or wired communication. Preferably, the detection module 100 and the data processing module 200 may adopt a short-distance low-power communication connection mode, such as a ZigBee communication connection mode, a bluetooth low energy communication connection mode, an NB-IOT communication connection mode, and the like. As shown in fig. 4, the data processing module 200 is a data calculator with a calculation service function, and at least includes a physiological characteristic calculating unit 200a, a psychological characteristic calculating unit 200b, and a fusion unit 200 c. The physiological characteristic measuring and calculating unit 200a calculates physiological data through a preset physiological operation model to generate physiological health characteristic data. The psychological characteristic calculating unit 200b calculates the psychological data by a preset psychological operation model to generate the psychological health characteristic data. The physiological operation model and the psychological operation model are commonly used in the art, and for example, those skilled in the art can use a weight analysis method to obtain corresponding health feature data. The fusion unit 200c generates the first feedback information based on the physiological health characteristic data and/or the mental health characteristic data, for example, the first feedback information may be generated in a compression and packaging manner.
And the cloud 300 is connected with the data processing module 200 through wireless communication so as to realize transmission interaction of the first feedback information. The cloud 300 can read the monitoring advice from the expert database based on the relative trend formed by comparing the second feedback information stored in the cloud with the corresponding first feedback information.
And the reference terminal 400 is used for displaying the relative trend and/or the monitoring advice so as to be convenient for the elderly to refer. And the reference terminal 400 can be used for displaying the feedback information so as to be convenient for the old to refer. For example, the reference terminal 400 may be one of smart devices such as a smart phone, an IPAD, a smart band, etc. communicatively connected to the data processing module 200.
the raw data related to the physiological data and/or the psychological data are numerous and complex, and the types of the detection modules 100 which need to be arranged for this purpose are also numerous and complex, so as to effectively ensure that the physiological data and the psychological data do not have the risk of missing acquisition and effectively reduce the energy consumption of the detection modules 100. In this embodiment, the detection module 100 transmits the physiological data and/or the psychological data collected in the present collection period to the physiological characteristic measuring unit 200a and/or the psychological characteristic measuring unit 200b in an energy-saving manner, respectively. For example, the detection module 100 is periodically started to acquire physiological data and/or psychological data during an acquisition period. For another example, the detection module 100 has a temporary data storage module, such as a RAM or a ROM, which collects physiological data and/or psychological data of the corresponding health status completely before sending the physiological data and/or psychological data to the data processing module. This aspect can both reduce the energy consumption of the detection module 100 and reduce the computational cost by enabling the data processing module 200 to operate without a continuous operation. Moreover, the fusion unit 200c can generate the first feedback information when the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the mental health characteristic data reaches the corresponding preset number. Preferably, the first feedback information comprises at least one mental health characteristic data that can be used for assessing the mental health status of the elderly and/or at least one physiological health characteristic data of the physiological health status. Under the condition that the number N of the psychological health characteristic data is less than the preset number Nm corresponding thereto and/or under the condition that the number P of the physiological health characteristic data is less than the preset number Pm corresponding thereto, the fusion unit 200c generates an acquisition feedback signal to the detection module 100 and/or the review module 400 to supplement the acquisition of the physiological data and/or the psychological data. Under the condition that the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding thereto and/or under the condition that the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding thereto, the fusion unit 200c generates first feedback information and sends the first feedback information to the cloud 300. According to this arrangement of the invention: on the one hand, the energy consumption of the detection module 100 can be reduced, and the operation cost can be reduced by enabling the data processing module 200 not to operate continuously; and the technical problem of incorrect characteristic data caused by data missing can be effectively solved.
The cloud 300 updates the second feedback information before the current acquisition cycle in a manner of iterating the first feedback information to the second feedback information before the current acquisition cycle, so that the cloud 300 can compare the updated second feedback information with the first feedback information of the next acquisition cycle to form another relative trend, and the cloud 300 reads another monitoring suggestion from the expert database 900 based on the another relative trend formed in the next acquisition cycle. Preferably, the cloud 300 is mainly used for storing the feedback information to form a database of the feedback information. The feedback information of the cloud 300 is mainly stored after the second feedback information before the acquisition period adopts a deep learning algorithm. The deep learning algorithm may employ convolutional neural networks, cyclic neural networks, recurrent neural networks, deep neural networks, and deep stacked networks. Preferably, the cloud 300 may also be used to store the collected historical psychological data and/or the collected historical physiological data. In this embodiment, there are two types of feedback information: first feedback information and second feedback information. The second feedback information is formed by the cloud 300 performing deep learning on the feedback information before the acquisition cycle. The first feedback information is generated by the data processing module 200 for physiological data and/or psychological data acquired within the acquisition period. For example, one acquisition cycle is T, and its acquisition time node is [ T0, T1 ]. The second feedback information is generated by the cloud 300 performing a convolutional neural network on the feedback information generated by the data processing module 200 before t 0. The first feedback information is generated by the data processing module 200 for the acquisition time period physiological data and/or psychological data of [ t0, t1 ].
The cloud 300 presents the first feedback information to the reference terminal 400 based on the second feedback information in a manner that can evaluate the relative trend of the health of the elderly. The present embodiment provides two ways to calculate a method that can be used to assess the relative trend of health of an elderly person:
(1) For example, the health feature data F1i in the first feedback information and the corresponding health feature data F2i in the second feedback information are relatively calculated:
P=1-|(F-F)|/F*100%
Pi is a relative health value used to characterize relative trends. A larger Pi indicates a smaller trend of change in the health status of the ith elderly.
(2) For example, the probability density function of the health feature data F1i in the first feedback information and the corresponding health state in the second feedback information is relatively calculated as follows:
P=F(F)=∫f(x)dx
Where F (xi) is a probability density function characterizing the i-th health state, which is derived based on a convolutional neural network on the health feature data F2i before the acquisition cycle. A larger Pi indicates a smaller trend of change in the health status of the ith elderly.
the health status of the elderly may continuously deteriorate with age, but the trend of such deterioration varies from person to person. The evaluation methods in the prior art all adopt output absolute evaluation results, and the absolute evaluation result of each time is almost deteriorated from the previous evaluation result or the previous evaluation results, but the degree of deterioration is difficult to quantify, so that the evaluation methods are not beneficial to monitoring the deterioration trend of the health state of the old. Therefore, the system provided by the invention is mainly different from the prior art and has the following advantages: 1. the system adopts the relative health value Pi to evaluate the health state of the old, the relative health value Pi is used for describing the change trend of the health state of the old, and the change speed of the health state of the old can be reflected within a certain time period; 2. the relative health value Pi is obtained by comparing with second feedback information of the old person to be evaluated, that is, the reference standard of the relative health value Pi is past health data of the old person to be evaluated, so that the relative health value Pi can be presented to the old person in a non-quantitative manner, for example, as shown in a solid line ring in fig. 2, a circle of the solid line ring is smaller in change of the old person relative to the past health data of the old person, and only the old person can qualitatively know the change of the health state of the old person through the roundness of the ring, and the ring is approximately circular, so that the method is more favorable for the old person to receive the health state of the old person. 3. The cloud 300 compares the health characteristic data in the data processing module 200, which is beneficial to reducing the computation amount of local terminals (the data processing module 200, the detection module 100 and the reference terminal 400) and is beneficial to carrying out miniaturization and lightweight design on the data processing module 200 and the detection module 100, so that more detection modules 100 can be collected and arranged in a limited space and the detection modules 100 can be connected to different data processing modules according to the types of monitoring states, and more elderly life living data can be collected efficiently, energy-saving and accurately; on the other hand, the cloud 300, as a top-level data processing terminal, has management processing capability for health data of similar elderly people, and can read the monitoring advice in the expert database 900 in combination with the relative health value and push the monitoring advice to the reference terminal 400.
preferably, the cloud 300 generates a mental relative health value corresponding to the mental health characteristic data in a one-to-one manner and/or a physiological relative health value corresponding to the physiological health characteristic data in a one-to-one manner based on the second feedback information. The health characteristic data F1i (at least one of mental relative health value and physiological health characteristic data) corresponds to the ith health state, i can be 1,2,3 …. The cloud 300 generates a relative health value corresponding to the health feature data one to one based on the second feedback information. The relative health value (at least one of a physiological relative health value, a psychological relative health value) is quantified by Pi. The relative health values are all within the same health metric interval. According to the two algorithms, the value range of Pi is [0,1 ]. The psychological relative health value and/or the physiological relative health value are within the same health metering interval, so that under the condition that the cloud end 300 and the reference terminal 400 are connected through a 5G network communication protocol, the reference terminal 400 can present the psychological relative health value and/or the physiological relative health value in a non-digital mode, and therefore the old can read the first health status report of the old in a non-quantitative mode. The reference terminal 400 can present the relative health value in a non-digitized manner. For example, as shown in FIG. 2, an approximate circle (solid line) displays the relative health value at the reference terminal 400. For example, the reference terminal 400 can at least graphically present the health feature data corresponding to the heart, liver, spleen, lung and kidney of the elderly in the same health status image report as relative health values based on the first feedback information. Namely: in the present invention, i may represent five zang organs of the elderly. Further, i may also represent the nervous system, bones, brain, etc. of the elderly. In this way, as shown in fig. 2, i ═ 1,2,3,4,5,6,7,8, respectively, represent the health status of key body tissues, such as heart, liver, spleen, lung, kidney, nervous system, bone, brain; p1, P2, P3, P4, P5, P6, P7, P8 are relative health values with respect to the second feedback information, all within a range between [0,1 ]. For example, the reference terminal 400, upon receiving the relative health value output by the data processing module 200, may generate a ring in the following manner: a circle with the radius of 1 is divided into 8 equal parts, 4 diameters are drawn, P1, P2, P3, P4, P5, P6, P7 and P8 are drawn on each radius according to the numerical value, then arcs are sequentially ended to form an approximate circular ring, and the approximate circular ring can be constructed by Matlab. Thus, the elderly can read their health status reports in an unquantized manner. The invention also has the following advantages: 1. the cloud 300 transmits the relative health value to the reference terminal 400 after non-quantitative processing, so that the calculation cost of the reference terminal 400 can be effectively saved, and the reference terminal 400 can be a smart phone with an APP (application) built in, so that the acquisition cost of the system is reduced; 2. the relative health value Pi is obtained by comparing with second feedback information of the old person to be evaluated, that is, the reference standard of the relative health value Pi is past health data of the old person to be evaluated, so that the relative health value Pi can be presented to the old person in a non-quantitative manner, for example, as shown in a solid line ring in fig. 2, a circle of the solid line ring is smaller in change of the old person relative to the past health data of the old person, and only the old person can qualitatively know the change of the health state of the old person through the roundness of the ring, and the ring is approximately circular, so that the method is more favorable for the old person to receive the health state of the old person. Circles have a satisfactory meaning in traditional Chinese culture, and a large number of reports in modern psychological monographs indicate that most people have a subconscious pursuit of satisfaction, which can prompt people to perform specific operations spontaneously without thinking. Therefore, the circular + color (especially red) mode is used for promoting the user to keep healthy living state, which has positive psychological and nursing theoretical basis for the nursing of the old people. In contrast, the deterioration of physicochemical data due to aging or pain often gives negative psychological implications to patients, for example, patients after cancer operation or chronic patients cannot see the desire to abandon themselves, for example, the continuous high blood sugar level sometimes causes the diabetic patients to adopt a more extreme diet to meet transient physiological needs. The invention skillfully combines red and round of traditional culture to cultivate the user to form good living habits, is more beneficial to prompting the user to adopt a better living style from the psychological aspect, greatly lightens the nursing workload, and can effectively prolong the survival period of patients after cancer operation. The invention shows that a complex physiological and psychological intervention scheme is arranged behind the circle, which is an obvious clinical effect of the inventor in the experience of long-term care research.
Preferably, the reference terminal 400 comprises a touch screen device, and the reference terminal 400 and the cloud 300 establish a communication connection through a 5G network communication protocol, so that in the case that the cloud 300 pushes the health status report and/or the monitoring advice to the reference terminal 400, the reference terminal 400 can display the first health status report in a different non-quantitative manner and/or can display the monitoring advice in a video manner through the 5G network communication protocol in response to the touch and/or the sound of the elderly. Devices with touch screens are increasing, such as smart collections, IPADs, touch screen notebooks, and the like. The reference terminal 400 establishes a communication connection with the data processing module 200 via the first communication module only for communicating the relative health value. Preferably, the first communication module may be a Zigbee module, a WIFI module, a 4G module, or the like. When the reference terminal 400 receives the relative health value, the elderly can display the health status report in different non-quantitative manners by touching the health status report. And/or the elderly may display the health status report in a different, non-quantitative manner by voice, for example, the elderly may display the health report in a different, non-quantitative manner by saying "show health report" to the reference terminal. The different non-quantitative way may also be shown in the form of a change in color, e.g. a change in color contrast, e.g. by equally dividing the disc i, the color being red, the contrast corresponding to a relative health value, e.g. 98% for a relative health value, which corresponds to 98% for a circular area. By the mode, on one hand, the system provides different health state reading modes for the old, and the old can conveniently select the favorite reading mode; on the other hand, can improve the interactive sense between old person and this system, increase old person's intelligence and experience, enrich its perception and experience, promote its perception ability.
example 2
This embodiment is a further supplement and/or technical alternative to embodiment 1. Provides a monitoring and evaluating system for the life and health status of the old. As shown in FIG. 1, the system comprises a detection module 100, a data processing module 200, a cloud 300, a reference terminal 400, a monitoring terminal 500, an alarm terminal 600 and a monitoring database 700.
Preferably, the system includes a monitoring terminal 500 having a touch display device for a guardian to refer to the health status of the elderly. Preferably, the system includes a monitoring terminal 500 for a guardian to refer to the health status of the elderly. The monitoring terminal 500 and the cloud 300 establish a communication connection through a communication module. Preferably, the communication module may be a Zigbee module, a WIFI module, a 4G module, or the like. The monitoring terminal 500 may be one of smart phones, IPADs, etc. disposed in a guardian in communication with the data processing module 200. The monitoring terminal 500 is in communication connection with the cloud 300, so that when the cloud 300 generates and pushes a second health status report from the physiological health characteristic data and/or the psychological health characteristic data in a quantized manner to the monitoring terminal 500, a monitor can read the second health status report from the monitoring terminal 500 in a quantized manner. And/or in the case that the cloud 300 quantitatively generates and pushes a third health status report to the monitoring terminal 500 according to the relative physiological health value and/or the relative psychological health value, the monitoring person can quantitatively read the third health status report from the monitoring terminal 500. The monitoring terminal 500 can at least present the health characteristic data corresponding to the heart, liver, spleen, lung and kidney of the elderly in the same health status image report in an absolute health value in an imaging manner based on the physiological health characteristic data; and/or the monitoring terminal 500 can at least graphically present the corresponding relative physiological health values of the heart, liver, spleen, lung and kidney of the elderly in the same health status image report as the relative health values based on the first feedback information. The monitoring terminal 500 may be configured to present a health status report of the elderly as follows: (1) the data processing module 200 displays the first feedback information on the monitoring terminal 500 based on the second feedback information in a manner of being able to evaluate the relative trend of the elderly health. This may be consistent with the manner of the reference terminal 400, and may be characterized by a relative health value, such as a circle formed by the relative health value as shown by the solid line circle indicated in FIG. 2, where the dashed line circle is a circle in which the elderly has no relative change in status (the dashed line circle is not shown in the reference terminal 400), and the dashed line is a straight line representing the magnitude of the relative health value (the dashed line is not shown in the reference terminal 400). And/or, (2) the data processing module 200 presents the first feedback information to the monitoring terminal 500 in the form of an absolute health value of the elderly, so that the monitoring person can read the health status report of the elderly in a quantitative manner. For example, as shown in FIG. 3, the absolute health value may be presented on the monitoring terminal 500 as F1 i. For example, the monitoring terminal 500 can at least graphically present the health feature data corresponding to the heart, liver, spleen, lung and kidney of the elderly in the same health status image report as an absolute health value based on the first feedback information. In this way, the invention also has the following advantages: under the condition that the old people can only qualitatively read the change of the health state of the old people, the guardian can simultaneously and quantitatively read the absolute health value of the old people and the relative health value of the old people, so that the guardian can know the health state and the change of the health state of the old people, and the guardian can conveniently make corresponding intervention decisions.
preferably, the monitor terminal 500 can be in communication connection with the reference terminal 400 at an irregular time in a manner of not performing information interaction through the cloud 300 under the condition of the subscription of the elderly. For example, the monitoring terminal 500 and the reference terminal 400 may be in communication connection with 5G, 4G, Wifi, and the like. The monitoring terminal 500 can push an expert advice to the reference terminal 400 in the case where the guardian has professionally judged that the second health status report and/or the third health status report have an abnormality. The expert advice is at least one of video, sound, text, and picture.
Preferably, the system includes an alarm terminal 600 communicatively coupled to the data processing module 200. The alarm terminal 600 is configured to: in case that at least one of the physiological data and/or the psychological data triggers its corresponding alarm threshold in the monitoring database 700, the data processing module 200 generates an alarm signal and pushes the abnormal data triggering the alarm threshold to the alarm terminal 600. The alarm terminal transmits emergency call-for-help information including abnormal data to a preset medical institution terminal 800 based on the alarm signal. The medical institution terminal 800 may be installed in a community medical institution or a large-scale medical institution. The medical institution terminal 800 establishes a 5G communication connection with the video monitor in the detection module 100 based on the emergency information to acquire video information of the elderly in real time. Preferably, the system comprises an alarm terminal 600 configured to: when any one of the blood pressure data, the heart rate data and the body temperature data in the physiological data exceeds the corresponding threshold of the monitoring database 700, the alarm terminal 600 sends emergency help-seeking information including abnormal data to the preset medical institution terminal 800 based on the triggering of the abnormal data. Preferably, the raw information database at least comprises a trigger measure information database and a cognitive ability information database, and the types of trigger conditions in the trigger measure information database at least comprise blood pressure trigger, heart rate trigger and body temperature trigger, wherein: under the condition that the blood pressure information, the heart rate information and the body temperature information in the detection data do not exceed the corresponding threshold values, the data processing module 200 can generate measure information according to the mapping relation between the trigger measure information database and the detection data and transmit the measure information to the mobile terminal, under the condition that any one of the blood pressure information, the heart rate information and the body temperature information in the detection data exceeds the corresponding threshold values, the data processing module 200 can generate rescue information and transmit the rescue information to the mobile terminal, and meanwhile, the mobile terminal sends emergency rescue information to the medical institution terminal 800.
Preferably, the blood pressure threshold may be 150(mmHg), the heart rate threshold may be 80/min, and the body temperature threshold may be 38 ℃.
the acquisition cycle is also a calculation cycle for evaluating the health status and changes thereof of the elderly, and the length of the acquisition cycle is crucial to the evaluation result. The shorter the acquisition period, the less likely the elderly will change their health status. The longer the acquisition period, the greater the probability that the elderly will change their health status. The collection period may be in days, weeks, months, or seasons. Preferably, the setting process of the acquisition period may be at least one of the following two ways: first, (1.1) the cloud 300 forms a relative health value based on the first feedback information and the second feedback information; (1.2) the cloud 300 reads the threshold corresponding to the relative health value; the threshold value can be stored in the cloud 300 and can be set by a monitoring party through a monitoring terminal; (1.3) if the relative health value is not in the corresponding threshold value, the cloud 300 sends a first prompt message for fixing the acquisition cycle of the physiological data and/or the psychological data acquired by the detection module 100 to the monitoring terminal 500; (1.4) after the monitoring terminal 500 confirms the first prompt message, the cloud 300 sends an instruction for modifying the acquisition period to the detection module 100, and the display period of the monitoring terminal 500 changes accordingly, so that the monitoring terminal 500 can provide health data to the monitor following the change of the health state of the elderly. Second, (2.1) the data processing module 200 reads the absolute health value based on the first feedback information; (2.2) the data processing module 200 reads the threshold corresponding to the absolute health value; the threshold value can be stored in the cloud 300 and can be set by a monitoring party through a monitoring terminal; (2.3) if the absolute health value is not in the corresponding threshold value, the data processing module 200 sends a second prompt message for fixing the acquisition period of the physiological data and/or the psychological data acquired by the detection module 100 to the monitoring terminal 500; (2.4) after the monitoring terminal 500 confirms the second prompt message, the data processing module 200 sends an instruction for modifying the acquisition period to the detection module 100, and the display period of the monitoring terminal 500 changes accordingly, so that the monitoring terminal 500 can provide health data to the monitor following the change of the health state of the elderly. In the present embodiment, the acquisition period is set according to the absolute value of health and/or the trend of health change of the elderly. In this way, the invention has at least the following advantages: 1. the length of the acquisition period of the next period can be determined according to the evaluation result of the old in one acquisition period, so that the acquisition period can be adjusted in real time in case of an accident or along with the age, and a valuable evaluation result can be more effectively output for guiding a guardian to make a corresponding decision; 2. the modification prompt information of the acquisition cycle is only sent to the monitoring terminal and not sent to the reference terminal, so that the panic emotion of the old is avoided. For example, in one acquisition cycle (one month), the health status of the heart of the elderly changes significantly, for example, the relative change value is 82%, and the corresponding threshold is triggered, so as to know the health status of the heart and the health status trend thereof, the duration of the next acquisition cycle can be modified to be half a month or 10 days, so as to facilitate the intervention decision making of the guardian more quickly.
Preferably, the detection module 100 is capable of operating at least once during an acquisition cycle. The detection module 100 includes different detection devices, each of which can correspond to a different health status. Therefore, the detection times of different detection devices are set according to the health change trend of the old people. The larger the relative health value of a certain health state of the old people is, the smaller the frequency of the corresponding detection module is. For example, in the case of a detecting device for detecting the i-th health state, if its relative health value is (90%, 100% >), its detection number is 5 times in the next cycle (for example, one week), if its relative health value is (80%, 90% >), its detection number is 8 times in the next cycle (for example, one week), if its relative health value is (70%, 80% >), its detection number is 12 times in the next cycle (for example, one week), for example, the older person has a certain health state whose relative health value is larger and each time is stable, and its corresponding detecting module may be 1 or 2 times, and in this way, since the more the detection number, the higher the evaluation cost is, and the less the detection number is, the evaluation is accurately relatively reduced, the present invention has at least an advantage in that since the system is intended to evaluate the health state of the older person, therefore, the system can detect one or more health states for a plurality of times under the condition that the one or more health states are unstable, so that the evaluation accuracy is effectively improved; and for a certain or certain stable health state, appropriate times of detection are carried out to evaluate the cost saving.
Example 3
This embodiment may be a further improvement and/or a supplement to embodiments 1 and 2, and repeated contents are not described again. The preferred embodiments of the present invention are described in whole and/or in part in the context of other embodiments, which can supplement the present embodiment, without resulting in conflict or inconsistency.
as shown in fig. 1, embodiment 1 discloses a monitoring and evaluating system for life and health status of the elderly, which at least comprises a detection module 100, a data processing module 200 and a cloud 300, wherein: the detection module 100 is configured to: detecting a composite condition of the patient and generating detection data, the data processing module 200 is configured to: the measure information in at least one original information database is extracted and generated based on the mapping relationship between the original information database of the cloud 300 and the detection data.
preferably, the invention provides accurate samples for medical care personnel by setting the characteristic cognition database, so that the medical care personnel can accurately and quickly know the field with poor cognitive ability of the patient according to the personal conditions of different patients, can accurately make a rehabilitation training plan of the patient according to the field, and can prevent the field with poor cognitive ability of the patient, for example: when the patient can't effectively distinguish the meaning of daily energy such as water, electricity, gas, medical personnel can know the state of an illness of patient fast through the cognitive database of characteristic to remind patient's nursing staff, avoided the patient to lead to self to appear the safety problem because of the decline of cognitive ability, promoted guardianship and treatment to patient.
Preferably, the invention enables medical staff to intuitively and accurately observe the information types with weak cognitive ability of patients by setting the type cognition database, such as: when the prompt message is voice, the third selection time of the patient is long, then medical care personnel can intuitively judge whether the information type with weaker cognitive ability of the patient is voice and can detect whether the auditory nerve, the ear, the neurasthenia and the like of the patient have problems or not in a targeted manner, so that the personalized patient monitoring evaluation scheme is realized, an accurate detection direction is provided for the medical care personnel to formulate a treatment scheme, the care problem in the daily life of the old is effectively prevented and intervened, the condition of the old is prevented from aggravating or deteriorating, and the treatment effect of the patient is greatly improved.
Preferably, the physiological information of the patient can be comprehensively detected by arranging the detection module when the patient is in a normal state, the most approximate measure information is generated by matching the blood pressure information, the heart rate information and the body temperature information in the detection data with a large number of processing measures stored in the trigger measure information database and is transmitted to the mobile terminal for medical care personnel to perform corresponding operation, the care effect on the patient is greatly improved, and the medical care personnel can be ensured to perform accurate personalized monitoring according to different patient conditions. Meanwhile, when the patient is in an abnormal state, the data processing module can generate rescue information with abnormal state information and send the rescue information to the mobile terminal, so that medical workers can quickly know the state of an illness of the patient and take corresponding emergency measures, and meanwhile, the mobile terminal can send emergency rescue information to a medical institution so as to facilitate medical structures such as hospitals to send emergency vehicles and/or make relevant emergency rescue measures.
Preferably, the detection module 100 may be a conventional prior art portable mobile device. More preferably, the detection module 100 may be a conventional prior art smart bracelet. Preferably, the detection module 100 may be provided with a temperature sensor, a blood pressure sensor, and a heart rate sensor, so as to detect body temperature information, blood pressure information, and heart rate information of the patient. More preferably, the detection module 100 may be provided with six-axis sensors so as to accurately detect the motion of the patient.
Preferably, the raw information database of the cloud 300 includes a measure information database storing a large amount of patient information and corresponding improvement measures, and the data processing module 200 can perform the following operations according to various physiological information of the patient, for example: the body temperature information, the blood pressure information, the heart rate information and the like are matched with the closest improvement measure scheme in the measure information base to generate a personalized, differentiated and optimized monitoring and caring scheme, so that the care problem in daily life of the old is effectively prevented and intervened, the condition of the old is prevented from aggravating or deteriorating, and the occurrence of disability and intelligence loss of the old at home is reduced or delayed.
Preferably, the cloud 300 may be a web project with a B/S architecture in the prior art, and can support management of data contents such as all user accounts, health data information, knowledge bases, information, and the like, configuration of each item of basic information such as a monitoring and reminding mechanism, data acquisition frequency, and the like, and is compatible with a mainstream browser.
Preferably, the data processing module 200 may be comprised of a computer, processor, microprocessor controller or programmable hardware including memory components that can store or receive software or computer code. Preferably, the above-described method according to the present invention can be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CDROM, RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium and to be stored in a local recording medium downloaded through a network, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that the computer, processor, microprocessor controller or programmable hardware includes memory components such as RAM, ROM, flash memory, etc. that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the processing methods described herein. Further, when a general-purpose computer accesses code for implementing the processes shown herein, execution of the code transforms the general-purpose computer into a special-purpose computer for performing the processes shown herein.
according to a preferred embodiment, the system further comprises a mobile terminal, and in case that the data processing module 200 transmits the measure information to the mobile terminal, the mobile terminal is capable of generating a corresponding measure scheme based on the measure information.
preferably, the mobile terminal can be a mobile phone and/or a tablet in the conventional prior art used by a guardian, the mobile terminal can be loaded with a Hybrid APP of a C/S architecture, a stable and efficient data service can be provided through a secure encrypted API, and partial modules such as information and a mall meet personalized function requirements through embedding a web page to realize and support updating. More preferably, the mobile terminal can implement data connection with the cloud 300 through one or more of wifi, 3G wireless network, and 4G wireless network.
Preferably, the detection module 100 is arranged to comprehensively detect physiological information of a patient when the patient is in a normal state, and the blood pressure information, heart rate information and body temperature information in detection data are matched with a large number of processing measures stored in the trigger measure information database to generate the closest measure information, and the closest measure information is transmitted to the mobile terminal for medical care personnel to perform corresponding operation, so that the care effect on the patient is greatly improved, and the medical care personnel can perform accurate personalized monitoring according to different patient conditions. Meanwhile, when the patient is in an abnormal state, the data processing module 200 can generate rescue information with abnormal state information and send the rescue information to the mobile terminal, so that medical workers can quickly know the state of an illness of the patient and take corresponding emergency measures, and meanwhile, the mobile terminal can send emergency rescue information to a medical institution so as to facilitate medical structures such as hospitals to dispatch emergency vehicles and/or make relevant emergency rescue measures.
preferably, the storage medium of the trigger measure information database stores a storage analysis unit of large sample health data, and the storage analysis unit can complete storage and calling of various physiological information of the user and can be used as a basis for generating the measure information. Meanwhile, the storage medium also stores a main data source of the measure information generated by a plurality of user histories and a sample library, wherein the sample library at least comprises the detection data, the measure information related to the detection data and the rehabilitation effect evaluation result.
Preferably, in the case that the similarity between the historical detection data in the sample library and the detection data newly generated by the user is higher than 90%, the data processing module 200 is able to extract the historical measure information associated with the historical detection data as the measure information generated by the current detection data. And under the condition that the similarity between the historical detection data in the sample library and the detection data newly generated by the user is lower than 90%, the trigger information library can analyze the detection data based on the large sample health data in the storage analysis unit to generate the measure information of the current detection data.
preferably, under the condition that any one of the blood pressure information, the heart rate information and the body temperature information in the detection data exceeds a corresponding threshold, the data processing module 200 can generate abnormal data with abnormal categories and values and transmit the abnormal data to the mobile terminal, and the mobile terminal can send emergency help-seeking information including the abnormal data to a preset medical institution terminal based on the triggering of the abnormal data. For example: under the condition that the heart rate information in the detection data of the user is 90/min, the data processing module 200 can generate abnormal data with abnormal heart rate and 90/min heart rate and transmit the abnormal data to the mobile terminal, and the mobile terminal can send emergency help information containing the abnormal data to the medical institution terminal 800, so that the medical institution dispatches an emergency ambulance and/or makes relevant emergency help measures.
according to a preferred embodiment, the monitoring terminal 500 is configured to: the patient is monitored in a positioning manner, and when the patient leaves home or leaves the normal movement track, the data processing module 200 generates warning information with position information and sends the warning information to the mobile terminal 4 so that medical staff can seek and/or inquire the patient.
Preferably, the monitoring terminal 500 can accurately position the movement track of the patient based on a GPS positioning module carried by the monitoring terminal 500, and a normal activity area and a movement track of the patient preset by a monitoring person are provided in the monitoring terminal 500. Under the condition that the patient leaves home or is separated from the normal motion track, the data processing module 200 can generate warning information with position information based on the GPS positioning module of the monitoring terminal 500, and send the warning information to the mobile terminal for medical staff to trace and/or inquire the patient.
Preferably, the monitoring terminal 500 may be a mobile phone and/or a tablet in the conventional prior art used by the patient, the monitoring terminal 500 may be loaded with a Hybrid APP of a C/S architecture, and may provide a stable and efficient data service through a secure encrypted API, and partial modules such as information and shopping malls may meet personalized function requirements by embedding a web page to implement, and support hot update. More preferably, the monitoring terminal 500 can implement data connection with the mobile terminal 4 through one or more of wifi, 3G wireless network, and 4G wireless network.
It should be noted that, according to the implementation requirement, each step described in the present application can be divided into more steps, and two or more steps or partial operations of the steps can be combined into a new step to achieve the purpose of the present invention. Meanwhile, each functional module described in the present application may be split into more functional modules, or two or more functional modules or partial functions of the functional modules may be combined into a new functional module, so as to achieve the purpose of the present invention.
Example 4
The present embodiments also disclose a method that may be implemented by the system of the present invention and/or other alternative modules.
the embodiment discloses a monitoring and evaluating method for life and health state of old people, and relates to a monitoring and evaluating method capable of evaluating physiological health state and/or psychological health state of old people according to physiological data of the old people in life based on cloud, which comprises the following steps:
The detection module 100 collects physiological data that can be used for evaluating the physiological health status of the elderly and/or psychological data that can be used for evaluating the psychological health status of the elderly;
the data processing module 200 is configured as a module which is connected with the detection module 100 through wireless and/or wired communication and comprises a physiological characteristic measuring and calculating unit 200a, a psychological characteristic measuring and calculating unit 200b and a fusion unit 200c, the physiological characteristic measuring and calculating unit 200a calculates physiological data through a preset physiological operation model to generate physiological health characteristic data, the psychological characteristic measuring and calculating unit 200b calculates psychological data through a preset psychological operation model to generate psychological health characteristic data, and the fusion unit 200c generates first feedback information based on the physiological health characteristic data and/or the psychological health characteristic data;
The cloud 300 is connected with the data processing module 200 through wireless communication so as to enable transmission and interaction of the first feedback information, the cloud 300 can read the monitoring advice from the expert database 900 based on the relative trend formed by comparing the second feedback information stored in the cloud with the corresponding first feedback information,
The review terminal 400 displays relative trends and/or monitoring advice for the elderly to review;
The detection module 100 sends the physiological data and/or the psychological data collected in the collection period to the physiological characteristic measuring and calculating unit 200a and/or the psychological characteristic measuring and calculating unit 200b in an energy-saving manner; so that the fusion unit 200c can generate the first feedback information when the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the mental health characteristic data reaches the corresponding preset number;
The cloud 300 updates the second feedback information before the current acquisition cycle in a manner of iterating the first feedback information to the second feedback information before the current acquisition cycle, so that the cloud 300 can compare the updated second feedback information with the first feedback information of the next acquisition cycle to form another relative trend, and the cloud 300 reads another monitoring suggestion from the expert database 900 based on the another relative trend formed in the next acquisition cycle.
Preferably, the first feedback information comprises at least one mental health characteristic data that can be used for assessing the mental health status of the elderly and/or at least one physiological health characteristic data of the physiological health status,
Under the condition that the number N of the psychological health characteristic data is less than the preset number Nm corresponding to the psychological health characteristic data and/or under the condition that the number P of the physiological health characteristic data is less than the preset number Pm corresponding to the psychological health characteristic data, the fusion unit 200c generates an acquisition feedback signal to the detection module 100 and/or the reference module 400 so as to supplement the acquisition of the physiological data and/or the psychological data;
Under the condition that the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding to the mental health characteristic data and/or under the condition that the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding to the physiological health characteristic data, the fusion unit 200c generates first feedback information and sends the first feedback information to the cloud 300;
The cloud 300 generates a psychological relative health value corresponding to the psychological health characteristic data one by one and/or a physiological relative health value corresponding to the physiological health characteristic data one by one based on the second feedback information, and the psychological relative health value and/or the physiological relative health value are/is in the same health metering interval, so that under the condition that the cloud 300 is connected with the reference terminal 400 through a 5G network communication protocol, the reference terminal 400 can present the psychological relative health value and/or the physiological relative health value in a non-digital mode, and the elderly can read health status reports in a non-quantitative mode;
The reference terminal 400 comprises a touch screen device, the reference terminal 400 and the cloud 300 are in communication connection through a 5G network communication protocol, so that when the cloud 300 pushes the health status report and/or the monitoring advice to the reference terminal 400, the reference terminal 400 can respond to the touch and/or the sound of the old to display the first health status report in different unquantized modes and/or display the monitoring advice in a video mode through the 5G network communication protocol.
it should be noted that, according to the implementation requirement, each step described in the present application can be divided into more steps, and two or more steps or partial operations of the steps can be combined into a new step to achieve the purpose of the present invention. Meanwhile, each functional module described in the present application may be split into more functional modules, or two or more functional modules or partial functions of the functional modules may be combined into a new functional module, so as to achieve the purpose of the present invention.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims (10)

1. The utility model provides a guardianship and evaluation system of old age life and health status, relates to one kind and can be based on the guardianship and evaluation system of its physiological health state of old person's physiological data evaluation and/or its mental health state of psychological data evaluation in the life of high in the clouds, and it includes:
The system comprises a detection module (100) for collecting physiological data which can be used for evaluating the physiological health state of the old and/or psychological data which can be used for evaluating the psychological health state of the old;
The data processing module (200) is connected with the detection module (100) through wireless and/or wired communication and at least comprises a physiological characteristic measuring and calculating unit (200a), a psychological characteristic measuring and calculating unit (200b) and a fusion unit (200c), the physiological characteristic measuring and calculating unit (200a) calculates the physiological data through a preset physiological operation model to generate physiological health characteristic data, the psychological characteristic measuring and calculating unit (200b) calculates the psychological data through a preset psychological operation model to generate psychological health characteristic data, and the fusion unit (200c) generates first feedback information based on the physiological health characteristic data and/or the psychological health characteristic data;
a cloud (300) connected with the data processing module (200) through wireless communication to realize transmission interaction of the first feedback information, wherein the cloud (300) can read monitoring advice from an expert database (900) based on a relative trend formed by comparing second feedback information stored in the cloud with the corresponding first feedback information,
A review terminal (400) for displaying the relative trend and/or the monitoring advice for facilitating review by the elderly;
it is characterized in that the preparation method is characterized in that,
the detection module (100) sends the physiological data and/or the psychological data collected in the collection period to the physiological characteristic measuring and calculating unit (200a) and/or the psychological characteristic measuring and calculating unit (200b) in an energy-saving manner, so that the fusion unit (200c) can generate the first feedback information under the condition that the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the psychological health characteristic data reaches the corresponding preset number;
The cloud (300) updates the second feedback information before the current acquisition cycle in a manner of iterating the first feedback information to the second feedback information before the current acquisition cycle, so that the cloud (300) can compare the updated second feedback information with the first feedback information of the next acquisition cycle to form another relative trend, and the cloud (300) reads another monitoring suggestion from the expert database (900) based on the another relative trend formed in the next acquisition cycle.
2. The system according to claim 1, wherein the cloud (300) generates a mental relative health value corresponding to the mental health characteristic data in a one-to-one manner and/or a physical relative health value corresponding to the physical health characteristic data in a one-to-one manner based on the second feedback information, and the mental relative health value and/or the physical relative health value are within the same health measurement interval, so that in a case that the cloud (300) is in communication connection with the reference terminal (400) through a fifth generation mobile communication technology, the reference terminal (400) can present the mental relative health value and/or the physical relative health value in a non-digital manner, so that the elderly can read the first health state report thereof in a non-quantitative manner and in a manner that the subconscious satisfaction of the elderly is promoted;
The reference terminal (400) comprises a touch screen device, the reference terminal (400) and the cloud end (300) are in communication connection through a fifth generation mobile communication technology, so that when the cloud end (300) pushes the health status report and/or the monitoring suggestion to the reference terminal (400), the reference terminal (400) can respond to the touch and/or the sound of the old to display the first health status report in different unquantized modes and/or display the monitoring suggestion in a video mode through the fifth generation mobile communication technology.
3. system according to claim 1 or 2, wherein the first feedback information comprises at least one mental health characteristic data that can be used for assessing the mental health status of the elderly and/or at least one physiological health characteristic data of the physiological health status,
Under the condition that the number N of the psychological health characteristic data is smaller than the corresponding preset number Nm and/or under the condition that the number P of the physiological health characteristic data is smaller than the corresponding preset number Pm, the fusion unit (200c) generates an acquisition feedback signal to a detection module (100) and/or a reference module (400) so as to supplement the acquisition of the physiological data and/or the psychological data;
The fusion unit (200c) generates the first feedback information and sends the first feedback information to the cloud (300) when the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding to the mental health characteristic data and/or when the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding to the physiological health characteristic data.
4. System according to one of the preceding claims, characterized in that the system comprises a guardian terminal (500) with a touch display device for the guardian to refer to the state of health of the elderly,
The monitoring terminal (500) is in communication connection with the cloud end (300) so that in the case that the cloud end (300) quantitatively generates and pushes a second health status report from the physiological health characteristic data and/or the psychological health characteristic data to the monitoring terminal (500), a guardian can quantitatively read the second health status report from the monitoring terminal (500); and/or
In the case that the cloud (300) quantitatively generates and pushes a third health status report to the monitoring terminal (500) according to the relative physiological health value and/or the relative psychological health value, the monitoring person can quantitatively read the third health status report from the monitoring terminal (500);
Wherein the monitoring terminal (500) is capable of presenting health characteristic data corresponding to key body tissues of the elderly in an absolute health value in the same health status image report in an imaging manner based on the physiological health characteristic data; and/or
The monitoring terminal (500) is at least capable of graphically presenting the relative physiological health value corresponding to the key body tissue of the elderly person in the same health status image report as a relative health value based on the first feedback information.
5. The system of any one of the preceding claims, wherein the monitoring terminal (500) is capable of being in communication connection with the reference terminal (400) in an indefinite manner without information interaction through the cloud terminal (300) in case of subscription by the elderly, so that the monitoring terminal (500) is capable of pushing expert advice to the reference terminal (400) in case the second health status report and/or the third health status report is considered abnormal by professional judgment of the guardian, wherein the expert advice is at least one of video, sound, text and picture.
6. the system according to one of the preceding claims, wherein the cloud (300) is capable of sending a first prompt message to the monitoring terminal (500) for fixing the acquisition period of the physiological data and/or the psychological data acquired by the detection module (100) if the relative health value formed by comparing the first feedback information with the second feedback information is not at the corresponding threshold value; and/or
The data processing module (200) can send second prompt information for fixing the acquisition period of the physiological data and/or the psychological data acquired by the detection module (100) to the monitoring terminal (500) when the absolute health value of the first feedback information is not in the corresponding threshold value;
Under the condition that the monitoring terminal (500) confirms that the acquisition period is revised, the display period of the monitoring terminal (500) is changed, so that the monitoring terminal (500) can provide health data for the guardian along with the change of the health state of the old.
7. The system according to one of the preceding claims, characterized in that it comprises an alarm terminal (600) communicatively connected to said data processing module (200) and configured to:
under the condition that at least one of the physiological data and/or the psychological data triggers a corresponding alarm threshold of a monitoring database (700), the data processing module (200) generates an alarm signal and pushes abnormal data triggering the alarm threshold to the alarm terminal (600), and the alarm terminal sends emergency help information comprising the abnormal data to a preset medical institution terminal (800) based on the alarm signal;
The medical institution terminal (800) establishes a fifth generation mobile communication technology communication connection with a video monitor in the detection module (100) based on the emergency help-seeking information so as to acquire the video information of the old in real time.
8. the system according to one of the preceding claims, characterized in that said detection module (100) is capable of operating at least once during said acquisition cycle, comprising at least:
the electrocardio-pulse sensor device is used for detecting the electrocardio-pulse wave information of the old people;
the electrocardiogram detection electrode plate is used for detecting electrocardiogram information of the old;
the temperature measuring device is used for detecting the body temperature information of the old;
the voice acquisition device is used for detecting voice information of the old;
and the signal collector can amplify and separate the information of the electrocardio-pulse sensor device, the temperature measuring device and the sound collecting device.
9. a monitoring and evaluating method for life and health state of old people relates to a monitoring and evaluating method capable of evaluating physiological health state and/or psychological health state of old people according to physiological data of the old people in life based on cloud, which comprises the following steps:
The detection module (100) collects physiological data which can be used for evaluating the physiological health state of the old people and/or psychological data which can be used for evaluating the psychological health state of the old people;
configuring a data processing module (200) as a module including a physiological characteristic measuring unit (200a), a psychological characteristic measuring unit (200b) and a fusion unit (200c) which are connected with the detection module (100) through wireless and/or wired communication, wherein the physiological characteristic measuring unit (200a) calculates the physiological data through a preset physiological operation model to generate physiological health characteristic data, the psychological characteristic measuring unit (200b) calculates the psychological data through a preset psychological operation model to generate psychological health characteristic data, and the fusion unit (200c) generates first feedback information based on the physiological health characteristic data and/or the psychological health characteristic data;
The cloud end (300) is connected with the data processing module (200) through wireless communication so as to realize transmission interaction of the first feedback information, the cloud end (300) can read monitoring suggestions from the expert database (900) based on the relative trend formed by comparing second feedback information stored in the cloud end (300) with the corresponding first feedback information,
A consultation terminal (400) displays the relative trend and/or the monitoring advice to facilitate consultation by the elderly;
It is characterized in that the preparation method is characterized in that,
The detection module (100) transmits the physiological data and/or the psychological data acquired in the acquisition period to the physiological characteristic measuring and calculating unit (200a) and/or the psychological characteristic measuring and calculating unit (200b) in an energy-saving mode; so that the fusion unit (200c) can generate the first feedback information when the number of data in the physiological health characteristic data reaches the corresponding preset number and/or the number of data in the mental health characteristic data reaches the corresponding preset number;
The cloud (300) updates the second feedback information before the current acquisition cycle in a manner of iterating the first feedback information to the second feedback information before the current acquisition cycle, so that the cloud (300) can compare the updated second feedback information with the first feedback information of the next acquisition cycle to form another relative trend, and the cloud (300) reads another monitoring suggestion from the expert database (900) based on the another relative trend formed in the next acquisition cycle.
10. the method according to claim 9, wherein the first feedback information comprises at least one mental health characteristic data that can be used for assessing a mental health status and/or at least one physiological health characteristic data of a physiological health status of the elderly,
under the condition that the number N of the psychological health characteristic data is smaller than the corresponding preset number Nm and/or under the condition that the number P of the physiological health characteristic data is smaller than the corresponding preset number Pm, the fusion unit (200c) generates an acquisition feedback signal to a detection module (100) and/or a reference module (400) so as to supplement the acquisition of the physiological data and/or the psychological data;
the fusion unit (200c) generates the first feedback information and sends the first feedback information to the cloud (300) when the number N of the mental health characteristic data is greater than or equal to the preset number Nm corresponding to the mental health characteristic data and/or when the number P of the physiological health characteristic data is greater than or equal to the preset number Pm corresponding to the physiological health characteristic data;
The cloud end (300) generates a psychological relative health value corresponding to the psychological health characteristic data in a one-to-one mode and/or a physiological relative health value corresponding to the physiological health characteristic data in a one-to-one mode based on the second feedback information, and the psychological relative health value and/or the physiological relative health value are located in the same health metering interval, so that under the condition that the cloud end (300) is in communication connection with the reference terminal (400) through a fifth generation mobile communication technology, the reference terminal (400) can present the psychological relative health value and/or the physiological relative health value in a non-digital mode, and therefore the old can read a health status report of the old in a non-quantitative mode;
The reference terminal (400) comprises a touch screen device, the reference terminal (400) and the cloud end (300) are in communication connection through a fifth generation mobile communication technology, so that when the cloud end (300) pushes the health status report and/or the monitoring suggestion to the reference terminal (400), the reference terminal (400) can respond to the touch and/or the sound of the old to display the first health status report in different unquantized modes and/or display the monitoring suggestion in a video mode through the fifth generation mobile communication technology.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724902A (en) * 2020-06-28 2020-09-29 重庆医药高等专科学校 Student health state monitoring system and method
CN111798982A (en) * 2020-07-28 2020-10-20 重庆警察学院 Police health management system and health management method
CN112071386A (en) * 2020-08-19 2020-12-11 深圳市医贝科技有限公司 Active mental health early warning method and system
CN112446803A (en) * 2020-11-30 2021-03-05 五八到家有限公司 Monitoring system, monitoring method, monitoring device, and monitoring medium
CN112542228A (en) * 2020-12-21 2021-03-23 丽水学院 Medical and health combined cloud management system based on smart forest health cabin
CN113066581A (en) * 2021-03-24 2021-07-02 深圳市沃特沃德信息有限公司 Health detection method and device based on intelligent wearable device and computer device
CN113384241A (en) * 2021-07-08 2021-09-14 郑州大学第二附属医院 Wearable device assisted chronic patient clinical monitoring platform and method

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102274032A (en) * 2011-05-10 2011-12-14 北京师范大学 Driver fatigue detection system based on electroencephalographic (EEG) signals
CN105260973A (en) * 2015-11-19 2016-01-20 东北电力大学 Big data and Internet-based agedness health monitoring system
CN105596016A (en) * 2015-12-23 2016-05-25 王嘉宇 Human body psychological and physical health monitoring and managing device and method
CN206021269U (en) * 2016-08-09 2017-03-15 浙江大学宁波理工学院 Senior health and fitness's management system
CN107194174A (en) * 2017-05-19 2017-09-22 白胜西 A kind of health monitoring method, system and storage medium
CN107495926A (en) * 2017-08-25 2017-12-22 苏州曼陀菲科智能科技有限公司 A kind of system for healthy comprehensive assessment
CN108320814A (en) * 2018-01-31 2018-07-24 北京工业大学 A kind of old man family remote monitoring system based on wearable wisdom clothing
CN108460957A (en) * 2017-02-17 2018-08-28 杨力 A kind of the elder's health group monitoring warning system and method
CN108665970A (en) * 2018-05-15 2018-10-16 天津摩嵌动力技术有限公司 A kind of digital medical health monitoring systems based on network integration of services
WO2018194523A1 (en) * 2017-04-19 2018-10-25 National Science And Technology Development Agency System for recording, analyzing risk(s) of accident(s) or need of assistance and providing real-time warning(s) based on continuous sensor signals
CN108899084A (en) * 2018-06-29 2018-11-27 重庆邮电大学 A kind of wisdom endowment health monitoring system
CN110009248A (en) * 2019-04-13 2019-07-12 杭州医养网络科技有限公司 A kind of internet home for destitute intelligent management system
CN209232420U (en) * 2018-08-07 2019-08-09 首都医科大学 A kind of intelligence delirium assessment device

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102274032A (en) * 2011-05-10 2011-12-14 北京师范大学 Driver fatigue detection system based on electroencephalographic (EEG) signals
CN105260973A (en) * 2015-11-19 2016-01-20 东北电力大学 Big data and Internet-based agedness health monitoring system
CN105596016A (en) * 2015-12-23 2016-05-25 王嘉宇 Human body psychological and physical health monitoring and managing device and method
CN206021269U (en) * 2016-08-09 2017-03-15 浙江大学宁波理工学院 Senior health and fitness's management system
CN108460957A (en) * 2017-02-17 2018-08-28 杨力 A kind of the elder's health group monitoring warning system and method
WO2018194523A1 (en) * 2017-04-19 2018-10-25 National Science And Technology Development Agency System for recording, analyzing risk(s) of accident(s) or need of assistance and providing real-time warning(s) based on continuous sensor signals
CN107194174A (en) * 2017-05-19 2017-09-22 白胜西 A kind of health monitoring method, system and storage medium
CN107495926A (en) * 2017-08-25 2017-12-22 苏州曼陀菲科智能科技有限公司 A kind of system for healthy comprehensive assessment
CN108320814A (en) * 2018-01-31 2018-07-24 北京工业大学 A kind of old man family remote monitoring system based on wearable wisdom clothing
CN108665970A (en) * 2018-05-15 2018-10-16 天津摩嵌动力技术有限公司 A kind of digital medical health monitoring systems based on network integration of services
CN108899084A (en) * 2018-06-29 2018-11-27 重庆邮电大学 A kind of wisdom endowment health monitoring system
CN209232420U (en) * 2018-08-07 2019-08-09 首都医科大学 A kind of intelligence delirium assessment device
CN110009248A (en) * 2019-04-13 2019-07-12 杭州医养网络科技有限公司 A kind of internet home for destitute intelligent management system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ALEXANDROS PANTELOPOULOS等: "Prognosis—A Wearable Health-Monitoring System for People at Risk: Methodology and Modeling", 《IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE》 *
吴芳琴 等: "北京市社区失能老年人的照护需求及其影响因素", 《中华护理杂志》 *
彭英: "老年人移动看护系统设计", 《岳阳职业技术学院学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724902A (en) * 2020-06-28 2020-09-29 重庆医药高等专科学校 Student health state monitoring system and method
CN111798982A (en) * 2020-07-28 2020-10-20 重庆警察学院 Police health management system and health management method
CN112071386A (en) * 2020-08-19 2020-12-11 深圳市医贝科技有限公司 Active mental health early warning method and system
CN112446803A (en) * 2020-11-30 2021-03-05 五八到家有限公司 Monitoring system, monitoring method, monitoring device, and monitoring medium
CN112542228A (en) * 2020-12-21 2021-03-23 丽水学院 Medical and health combined cloud management system based on smart forest health cabin
CN113066581A (en) * 2021-03-24 2021-07-02 深圳市沃特沃德信息有限公司 Health detection method and device based on intelligent wearable device and computer device
CN113384241A (en) * 2021-07-08 2021-09-14 郑州大学第二附属医院 Wearable device assisted chronic patient clinical monitoring platform and method
CN113384241B (en) * 2021-07-08 2023-01-31 郑州大学第二附属医院 Wearable device assisted chronic patient clinical monitoring platform and method

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