TWI776284B - Home long-term intelligent care system and method - Google Patents

Abstract

A home long-term intelligent care system and method, the home long-term intelligent care system includes: a terminal device group arranged in the residence of the care recipient, which is configured to collect the daily behavior state and daily physiological state of the care recipient for a long time; The Internet of Things server that communicates with the terminal equipment group is configured to collect data uploaded by one or more terminal equipment groups; the cloud server that communicates with one or more Internet of Things servers is configured to Receive and store the data collected by the terminal device group uploaded by one or more Internet of Things servers, and process the daily behavioral status and daily physiological status of multiple care recipients to obtain a log of behavior characteristics and physiological status of each care recipient. The life log of the characteristic log; the front-end presentation device that communicates with the cloud server is configured to view the life log of the designated care recipient, so that long-term intelligent care for the care recipient can be realized.

Description

Home long-term intelligent care system and method

The present invention relates to a home long-term intelligent care system and method, in particular to a home long-term intelligent care system and method.

According to relevant forecasts, in the next few years, the global elderly population will exceed hundreds of millions, from mild aging to moderate aging, and elderly care services are bound to face greater challenges and tests.

At present, there are also many elderly monitoring systems; for example, the application number in mainland China is: 2018 10216983.0, and the application date is the Chinese patent application on March 16, 2018, which proposes a smart home-based elderly monitoring system, which includes wearable devices, home terminals And cloud server, use the wearable device to detect the physiological parameters and action form of the elderly, and send them to the cloud server. The cloud server controls the home terminal to change the home environment parameters through comprehensive judgment (the physical state of the elderly, whether there is a fall), and sends the data to the wearable device. Reminder information (such as taking medicine, exercising, sleeping, etc.), if the elderly falls or has an accident, the alarm information will be sent to the preset relative number. Such multi-layered monitoring of the health of the elderly must have breakthrough economic and social benefits.

However, the aforementioned monitoring system still has many defects; for example, the monitoring system must require the elderly to wear a wearable device or install a camera. Wearing such a wearable device or installing a surveillance camera at home is very disgusting, and this part of the elderly is unwilling and unable to use the monitoring system; another example, many times the elderly will forget to wear or deliberately not wear the wearable device, which leads to monitoring The system fails; for another example, the physiological parameters and action patterns collected by the wearable device are very limited, and based on these data, the elderly monitoring cannot be fully realized.

Therefore, it is necessary to provide a new and improved solution to overcome the above problems.

The technical problem to be solved by the present invention is to provide a long-term intelligent care system and method at home, which can provide long-term, intelligent and comprehensive care to the care recipient, so that the caregiver can understand the comprehensive physical condition of the care recipient for a long time. Thereby providing guidance for better care and care recipients.

In order to solve the above problems, according to one aspect of the present invention, the present invention provides a long-term intelligent care system at home, which includes: a terminal device group arranged in the residence of the care recipient, which is configured to collect the daily life of the care recipient for a long time. Behavioural status and daily physiological status, each terminal equipment group is used to observe and collect one or more care recipients living in a residence; the IoT server that communicates with the terminal equipment group is configured with Collect data uploaded by one or more terminal equipment groups; a cloud server that communicates with one or more IoT servers is configured to receive and store the terminal equipment group collections uploaded by one or more IoT servers data, and process the daily behavior status and daily physiological status of multiple care recipients to obtain a life log including behavior feature logs and physiological feature logs for each care recipient; and, communicate with the cloud server front-end rendering device, which is configured with View the life log of the designated care recipient.

According to another aspect of the present invention, the present invention provides an intelligent care method, the method comprising: collecting the daily behavioral state and daily physiological state of the care recipient for a long time; collecting the collected daily behavioral state and daily physiological state of the care recipient, Process the daily behavioral states and daily physiological states of multiple care recipients to obtain a life log of each care recipient including the behavioral feature log and the physiological feature log; and, send the life log of the designated care recipient to the front-end for presentation device to render.

Compared with the prior art, the home long-term intelligent care system and method in the present invention has one or more of the following advantages:

1. It is possible to obtain the life log of the care recipient for a long time, such as half a year, one year or many years, so that the caregiver can have a more comprehensive and in-depth understanding of the caregiver's daily life and physical condition.

2. Have a comprehensive understanding of the whole life of the person being cared for, not just a certain aspect of the person's life, such as a comprehensive understanding of the person's activities, rest, sleep, eating or toileting, Including all aspects of life, you can also fully understand the various physiological conditions of the care recipient, including basic body index status, breathing status, sleep status, cardiovascular status, urine and bowel status, blood sugar status and muscle strength and joint status...etc. .

3. Be able to provide guidance for the follow-up care of the person under care based on the person's long-term and comprehensive life log.

4. It is possible to detect the health risks of the care recipients early, and give them timely care to ensure the health of the care recipients.

5. You can use no camera, or less configuration of wearable devices, or no configuration of wearables. In the case of wearing the device, the comprehensive daily behavior status and comprehensive daily physiological status of the care recipient can be obtained, so as to avoid psychological discomfort or additional burden on the care recipient due to the use of cameras and wearable devices.

6. On the premise of not changing the existing living habits and forms of the care recipients, provide comprehensive and non-feeling care.

Other objects, features and advantages of the present invention will be described in detail in the detailed description below with reference to the accompanying drawings.

100: Smart Care System

110: Terminal equipment group

111: Smart Toilet

112: Ultra-wideband testing equipment

113: Non-contact detector

114: Smart Blood Glucose Meter

115: Smart Devices

116: Infrared Devices

117: Restoration equipment

120: IoT Server

121: Device/Status Management Module

122: Data Processing/Security Modules

123: Man-machine authentication module

124:Artificial Intelligence Module

125: Support various application precision modules

130: Cloud server

140: Front-end rendering device

Fig. 1 is a schematic structural diagram of an embodiment of the home long-term intelligent care system of the present invention.

Fig. 2 is a schematic structural diagram of a terminal equipment group in an embodiment of the present invention.

Fig. 3 is a schematic structural diagram of an IoT server of the present invention in one embodiment.

Fig. 4: It is a block diagram of an embodiment of the daily life log of the care recipient of the present invention.

Figure 5: is a graph of one embodiment of a life log of a care recipient of the present invention over a period of time.

Fig. 6 is a schematic flowchart of an embodiment of the home long-term intelligent care method of the present invention.

In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

Reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic associated with the described embodiment may be included in at least one implementation of the present invention. The appearances of "in one embodiment" in various places in this specification are not necessarily all referring to the same embodiment, nor are they necessarily separate or alternative embodiments that are mutually exclusive of other embodiments. In the present invention, "plurality" and "several" mean two or more. "And/or" in the present invention means "and" or "or".

The invention provides a home long-term intelligent care system, which can provide long-term, intelligent comprehensive care for the person under care, so that the caregiver can understand the long-term comprehensive physical condition of the person under care, so as to provide better care for the person under care. guide.

The first figure is a schematic structural block diagram of the intelligent care system 100 in one embodiment of the present invention. As shown in the first figure, the home long-term smart care system includes: a terminal device group 110 , an IoT server 120 , a cloud server 130 and a front-end presentation device 140 .

The terminal device group 110 is set in the care recipient's residence, and is configured to collect the care recipient's daily behavioral state and daily physiological state for a long time. The care recipients are usually elderly people who can still take care of themselves. They do not need the caregiver to take care of them every step of the way, nor do they need frequent medical care. The residence may be the person's own residence, or may be the residence of the person being cared for in a nursing home or a nursing village, and the residence is usually the person's own space. Each terminal device group 110 is used to observe and collect one or more care recipients living in a residence. In a preferred embodiment, each terminal device group 110 corresponds to one care recipient. The terminal device group 110 may include a variety of terminal devices, so as to comprehensively collect the daily behavioral state and daily physiological state of the care recipient.

The daily behavioral state includes the time-axis activity trajectory of the care recipient and behavior types. The behavior types include one or more of active, resting, sleeping, eating, toileting. The residence is divided into several specific areas, and the specific areas include one or more of bathroom, bedroom, living room, dining room, drying area, and study room, and the activity track is divided by taking each specific area as a physical space. The daily behavior state can reflect the daily behavior and trajectory of the care recipient, for example, getting up at 6:10, entering the bathroom to go to the toilet and washing at 6:20, leaving the bathroom at 6:30 and resting in the dining room, and doing work in the kitchen at 6:40 Meals, 7:10 restaurant meals and so on. In fact, the daily behavior can be segmented into more detail, the position can be recorded every 5 seconds, and the behavior data can be recorded every 10 seconds.

As shown in the second figure, the terminal device group 110 includes devices for collecting the daily behavior status of the care recipient. The device for collecting the daily behavior status of the care recipient may include an Ultra Wide Band (Ultra Wide Band, UWB) detection device 112 disposed in each activity area. The ultra-wideband detection device 112 can detect the daily movements and activity tracks of the person being cared for, and obtain the behavioral state of the person being cared for by analyzing the daily movements. Based on the ultra-wideband detection device 112, the activity track and behavior type of the care recipient can be obtained. The use of ultra-wideband detection equipment to detect activity trajectories and behavior types can avoid the use of cameras and wearable equipment, and collect the care recipient's data comprehensively and without feeling on the premise of not changing the existing living habits and forms of the care recipient. Daily life information. Of course, in other embodiments, other devices, such as cameras or wearing devices, may also be used to collect the daily behavior status of the care recipient.

The daily physiological state includes one or more of a basic body index state, a breathing state, a sleeping state, a cardiovascular state, a bowel and bladder state, a blood sugar state, and a muscle strength and joint state. The basic body index status includes one or more of body weight, body mass index, body fat rate, built-in fat level, basal metabolic rate, muscle mass, body water, skeletal muscle rate, and body age. The breathing state includes one or more of breathing frequency and breathing depth. The sleep state includes one or more of a sleep duration, a sleep period, a sleep number, and a sleep cycle, the sleep cycle including a sleep onset period, a light sleep period, a deep sleep period, and a rapid eye movement period. The cardiovascular state includes one or more of heart rate, heart rate variability, blood pressure, and pulse condition. The defecation status includes one or more of stool volume, stool frequency, blood in stool, urination volume, and urination frequency. The blood glucose status includes one or more of blood glucose concentration, fasting or postprandial test status. The muscle strength joint state includes one or more of the strength, endurance, and extension states of the muscles and joints of the shoulders, neck, waist and joints of the limbs during the recovery function (recovery) training process.

As shown in the second example, the terminal device group 110 includes devices for collecting the daily physiological state of the care recipient. In one embodiment, the ultra-wideband detection device 112 can be used to detect the breathing state and sleep state of the care recipient, that is, the ultra-wideband detection device detects breathing frequency, breathing depth, sleep duration, sleep period, sleep times, and Sleep loop cycle conditions. Of course, other devices can also be used to detect the breathing state and sleep state of the care recipient. The terminal equipment group 110 includes a non-contact detector 113, and the non-contact detector 113 uses face image recognition technology to detect and collect the cardiovascular state of the care recipient, that is, to detect the heart rate and heart rate variability of the care recipient. , blood pressure, respiration and pulse, etc. The terminal device group 110 includes a smart toilet 111, which can monitor the defecation status of the person being cared for, that is, detect the period of each urination and the amount of urination, and the period and the amount of urination of the person to be taken care of. stool volume. The terminal device group 110 includes a smart blood glucose meter 114 that can automatically detect blood glucose concentration. The smart blood glucose meter 114 can be attached to the care recipient's skin, the detection end of the smart blood glucose meter is inserted into the care recipient's body to detect blood sugar, and the detected data is transmitted wirelessly. The terminal device group 110 includes a re-energizing device 117 capable of detecting time, whole-body muscle Negative gravity, endurance, extensibility measures of meat and vital joints, etc.

The IoT server 120 may be connected to one or more terminal equipment groups 110 in communication. The communication connection may be a wireless communication connection, such as 5G, 4G, Wifi, Bluetooth, etc., or a wired communication connection. The IoT server 120 is configured to collect data uploaded by one or more terminal device groups 110 . The first figure shows that three terminal device groups 110 correspond to one IoT server 120, and in other instances, there may be other numbers.

The cloud server 130 may be in communication connection with one or more IoT servers 120 . The communication connection may be a wireless communication connection, such as 5G, 4G, Wifi, Bluetooth, etc., or a wired communication connection. The cloud server 130 is configured to receive and store the data collected by the terminal device group 110 uploaded by one or more IoT servers 120, and to process the daily behavioral states and daily physiological states of multiple care recipients to obtain each data set. A caregiver's life log includes a log of behavioral characteristics and a log of physiological characteristics. The first figure shows two IoT servers 120, and in other instances, there may be other numbers, such as dozens, hundreds or more.

In one embodiment, the life log of the care recipient includes: a basic body index log, a sleep log, a bowel movement log, an activity log, a rest log, a cardiovascular parameter log, a blood glucose parameter log, a respiratory parameter log, and a recovery parameter log. one or more. The body basic index log includes a record of body weight related index measurements and measurement periods. The sleep log includes the time period of each sleep, the sleep occurrence area and the sleep cycle. The defecation log includes one or more of the period of defecation, the amount of stool, the amount of urine, and the condition of blood in the stool. The activity log includes one or more of an activity period, an activity area, an activity amount, and an activity manner. The rest log includes one or more of rest periods and rest areas. the cardiovascular parameters The log includes one or more of detection time, heart rate, heart rate variability graph, blood pressure value, and pulse condition. The blood glucose parameter log includes measurement time and blood glucose concentration. The breathing parameter log includes one or more of detection time, breathing frequency and breathing depth. The recovery parameter log includes one or more of the detection time, the negative gravity of the muscles and important joints of the whole body, endurance, and extension.

The front-end presentation device 140 may be in communication connection with the cloud server 130 . The communication connection may be a wireless communication connection, such as 5G, 4G, Wifi, Bluetooth, etc., or a wired communication connection. The front-end presentation device 140 is configured to view the life log of the designated care recipient. The first figure shows three front-end rendering devices 140, and in other instances, there may be other numbers, such as: hundreds, thousands or more.

In an application example, for example: Grandma Wang is 80 years old, in good health, and lives alone in her own residence. The terminal device group 110 is installed in her residence, so that Grandma Wang's daily behavioral state and daily physiological state are comprehensively analyzed. are collected and uploaded to the cloud server 130 through the IoT server 120 . The cloud server 130 can obtain the life log of Grandma Wang including the behavior feature log and the physiological feature log according to Grandma Wang's daily behavior state and daily physiological state. Grandma Wang's grandson, Xiao Zheng, can log in to the cloud server 130 to view Grandma Wang's life log through her mobile phone device, so as to see the living conditions of Grandma Wang, so as to give Grandma Wang better care.

In one embodiment, the cloud server 130 is provided with one or more care indicators for each care recipient, and each care indicator is set with an attention value and a warning value, based on the care recipient's life log, care indicator The attention value and the care index warning value provide the attention and precautions of the person being cared for. Specifically, the care index includes a basic body index index, a One or more of a stool index, a sleep index, a cardiovascular parameter index, a blood glucose parameter index, a breathing parameter index, an activity index, and a rest index. The basic body index index includes one or more of a body weight index, a body mass index index, and a body index rate index, and the defecation index includes a urination frequency index, a stool frequency index, an average urination volume index, an average stool volume index, and a urination index. One or more of each time duration index and each stool duration index, and the sleep index includes one or more of the deep sleep duration index, the sleep-onset duration index, and the four-stage duration index of the sleep loop cycle , the cardiovascular parameter index includes one or more of heart rate index, heart rate variability index, blood pressure index and pulse condition index, the blood glucose parameter index includes one or more of the blood glucose concentration index before and after meals, the respiratory parameter The index includes one or more of a respiratory rate index and a breathing depth index, the rest index includes one or more of the rest duration indices in each region, and the activity index is included in the activity duration indices in each region One or more of the rejuvenation indicators include one or more of the exercise force negative gravity endurance indicators of the important joints of the muscles of the whole body.

In an application example, comparing the daily deep sleep duration in the sleep log of Grandma Wang in the past 3 months with the attention value of the daily deep sleep duration indicator, it is found that the daily deep sleep duration of Grandma Wang during this period ( For example: In the past 3 consecutive days, only 2 deep sleeps a day (4 minutes for the first time and 7 minutes for the second time) are often lower than the average daily healthy deep sleep duration indicator attention value (for example: 3 times a day each 15 minutes), need to pay attention to care and improve sleep hygiene. For another example, comparing the number of times of urination of Grandma Wang in the past 3 months with the attention value of the daily number of urination indicators, it is found that the number of times of urination per day of Grandma Wang during this period of time (for example: 7 consecutive days, 9~ 13 times) is higher than the daily urination frequency index attention value (for example: an average of 6 to 10 times a day), you need to pay attention, you can remind Grandma Wang to pay attention to diet and exercise. For another example, comparing the number of urinations per time of Grandma Wang in the past 3 months with the index of the number of daily urination times, it is found that the number of times Grandma Wang urinated per day during this period (for example: 2 consecutive urination times). day, 15-20 times a day) is higher than the warning value of the daily urination frequency indicator (for example: an average of 12-16 times a day), you need to be alert and pay attention to checking for health hazards. There are so many examples of such applications that I will not list them all.

The home long-term intelligent care system can also protect the elderly living alone from being disturbed by strangers. When someone invades the residence of the person being cared for, the ultra-wideband detection device 112 or the smart device 115 in the terminal device group 110 collects the personnel movement signal and uploads it to the IoT server 120, collects and organizes it and transmits it to the cloud server 130, through the data The integrated analysis can easily determine that a stranger has invaded, so as to issue an intrusion notification signal, and the cloud server 130 issues a warning through the front-end presentation device 140, so as to eliminate the danger in time.

The home long-term intelligent care system can also provide timely assistance to the elderly living alone in the event of an emergency and dangerous situation, such as a fall. Specifically, after the elderly living alone falls, they can shout: "Save people", and the smart speaker with the smart device 115 in the terminal device group 110 in the residence with the radio function will be awakened by the preset call for help and upload the emergency signal. Through the Internet of Things server 120 to the cloud server 130, the cloud server 130 sends a distress signal through the front-end presentation device after confirmation, so as to notify the caregiver to go to the rescue in time. Of course, the above-mentioned ultra-wideband detection equipment can also be used to detect emergency situations such as accidental falls of the care recipient, upload the Internet of Things server 120, collect and organize them, and then transmit them to the cloud server 130. In such an emergency situation, even if the care recipient is taken care of If the person does not call for help, the cloud server 130 will also actively send a distress signal through the front-end presentation device, so as to notify the caregiver to seek help in time.

The terminal device group 110 further includes one or more of a smart device 115 and an infrared device 116 . The smart device 115 includes one or more of smart home appliances, smart switches, smart speakers, smart security, and smart gas stoves. Motion detection of various home appliances and objects controlled by technology, and management and remote control of the Internet of Things. This enables intelligent control of the living environment. In one embodiment, various terminal devices in the terminal device group 110 are capable of IoT and background data transmission, and support at least one common IoT protocol (eg: MQTT, ZigBee, LoRa, XMPP, NB-IoT) etc.), directly exchanging data with the protocol/interface/gateway processing module of the IoT server 120 .

The IoT server 120 manages various terminal devices of the terminal device group 110 on the one hand, collects data uploaded by each terminal device, and downloads management instructions of the corresponding terminal devices, and on the other hand communicates with the cloud server 130 via a communication channel . The IoT server 120 registers, classifies, and numbers all connected terminal device groups 110, configures settings and activates them, and synchronizes with the device authentication management module in the cloud server via a communication protocol.

Specifically, as shown in the third figure, the IoT server 120 includes:

The device/status management module 121 performs status supervision, management, and remote firmware (Firmware) remote upgrade and other operation management for terminal devices that have been registered and started.

In the data processing/security module 122, all the massive raw data stored in this server, and the data processed for special field applications (such as the sleep state log of each stage in the sleep cycle), have been processed and protected by information security and deployed. Before ensuring compliance with local desensitization policies to protect personal privacy.

In the man-machine authentication module 123, any device or user must go through the authentication mechanism and binding recognized by the information security industry to ensure that the device and user are not forged or hacked.

The artificial intelligence module 124, this module installs an artificial intelligence kit for a special field, interprets and filters the massive data uploaded from the terminal equipment group 110 to the IoT server 120, and generates relevant results for the field. Example: respiratory rate collected for expected sleep period Signals such as frequency of vibration or snoring, vibration and tone, etc., are analyzed by this module in four sleep states (falling asleep, light sleep, deep sleep, and rapid eye movement). Sleep quality analysis for four states or two categories (REM/Non-REM), including sleep apnea analysis. Another example is the collected heart rhythm variability map (HRV) to interpret the heartbeat and cardiac abnormalities and so on. The modeling of these artificial intelligence kits is set by experts and installed in this mod, and will be upgraded after continuous learning.

Support various application precision modules 125, for each field application, collect data from other modules of this server 120 (especially the artificial intelligence module 124), provide accurate analysis, and upload to the cloud server .

The cloud server 130 accepts the IoT device data uploaded by the IoT server 120 to perform analysis and provides value-added services in the field of long-term care, and presents it to different user groups (for example: family members of the care recipients, Long-term care service personnel, long-term care service managers, etc.), and at the same time communicate with the IoT server 120 according to the demand for value-added services to maintain IoT device services.

The cloud server 130 can perform: life log management, based on the spirit of "Logging as a Service" (Logging as a Service, LaaS), from "Life logging as a Service" and "Life security detection (Life logging as a Service)" Guard as a Service)” two perspectives, according to the life log of each person being cared for at that time, issue a long-term care prescription, and carry out targeted care;

Warning information management, in which the warning information concerns people and equipment. When implementing the care prescription of the care recipient, if it is found that the reference standard of the prescription is violated, the system will issue an alarm, notify the relevant personnel according to the process, and conduct daily Tracking and assessment, the equipment is also automatically audited according to the equipment operation standards, if there is an abnormality, an alarm will be issued, and the relevant maintenance will be notified according to the standard process personnel, while tracking the repair process;

Big data analysis, which not only provides statistical analysis of data mining, but also conducts big data analysis for the life log of each care recipient to improve the portrait of the care recipient.

The cloud server 130 can also perform:

Account permission management to support multiple users (support multiple long-term care units operating independently of data at the same time), multi-role (for example: caregivers, elderly family members, various long-term care-related waiters, system administrators, customization, etc. ), multi-organizations (long-term care institutions, residential long-term care service points, equipment providers, customization, etc.), can set the relationship between each other (upper and lower levels and left and right peers) to clarify the attributes of each member of the long-term care ecosystem and relationships to achieve effective interaction;

User authentication management, according to the attributes of different system users (natural persons or legal persons), corresponding real-name authentication is carried out according to regulations;

Equipment certification management, all kinds of equipment must pass the industry standard certification, and at the same time pass the custom standard certification of each unit;

Subscription management, manage and subscribe to various service notifications and reports provided by this layer, understand user portraits through big data analysis, and provide subscription suggestions according to user needs.

The front-end presentation device 140 can support web pages, mobile/tablet apps, etc. (for example: H5 web pages, Android, iOS, Windows). The following describes the presentation information implemented by the current system, but is not limited to this:

Central control desktop information, the life information of the care recipients is presented in groups according to management needs, and reports the current status and alerts of each elder;

Life log information, using statistical charts (for example: bar stacked chart, log distribution chart, etc.) to present the life logs of the care recipients collected through the equipment of this system, plus data from long-term care specialists. Based on the results of industry analysis of logs, it provides intelligent life care services to achieve "Life logging as a Service" and "Life guard as a Service" in the spirit of "Logging as a Service" (LaaS). a Service)” means;

Equipment information, showing the status of each equipment and abnormal status maintenance tracking;

Statistical reports, providing statistical analysis charts to the elderly, their family members, and institutional managers, is conducive to grasping the situation and improving the service quality.

The following describes how a set of system processes is completed in the four-layer architecture of the first figure.

The service system administrator assists in registering the care recipient's personal information, the desired service package and related hardware devices on the front-end presentation device 140 . The cloud server 130 is then notified to confirm the user's identity (eg, identity information, personal medical history, etc.) and related information (eg, family relationship and contact information). The cloud server 130 notifies the IoT server 120 to perform authentication and installation according to the hardware device corresponding to the selected service package. The IoT server 120 issues a device management instruction and transmits it to the terminal equipment group, activates the hardware device to collect on-site related data (life and rest data and equipment status of the care recipient, etc.) The data is sent back to the cloud server to process and filter the elder’s physiological state, behavioral state and corresponding equipment data, and then determine the elder’s physical condition based on the care indicators, whether it conforms to the normative indicators defined by the care prescription, and the results are presented on the front-end display device , including abnormal warnings of the status of the elderly, people and equipment, and at the same time using artificial intelligence and big data analysis technology to generate recommended "care prescriptions" (for example: long-term frequent urination at night, need to arrange to see a cardiologist and urologist) for the elderly and Family reference. Not only will relevant personnel (long-term care service personnel, elderly family members, etc.) be notified, but also the progress of problem solving will be tracked.

This system provides "Logging as a Service" (Logging as a Service, LaaS) as the The main "smart life care service", while taking into account the two goals of "Life logging as a Service" and "Life guard as a Service". How to formulate safety care indicators recognized by the long-term care industry from the life log is another focus of this system.

These collected basic daily routine and rest safety indicators are presented with various visual statistical graphs suggested by experts and users in advance, so that the physical condition of the elderly can be displayed more quickly, the care attention value can be modified, and appropriate care can be provided. The fourth picture shows the daily life log of the care recipient in a square wave chart, recording the start time of each stage/state, from which it can be further judged whether it is normal or not. In the example of the fourth figure, rest log, defecation log (ie toileting), activity log, sleep log (including falling asleep, deep sleep and light sleep) are given only by way of example. In other examples, there can be other logs.

The fifth figure uses a stacked bar graph to present the trend of the care recipient's daily routine. On each bar stacked graph, toileting, inactivity (ie rest), activity, sleep interruption, REM (rapid eye movement), NREM ( non-rapid eye movement period) and other states. Each state can be individually clicked to observe the time period in which the state occurs, and different arrangements and combinations can be used to understand the life and rest of the care recipient, that is, the life log, for example: click REM, NREM, sleep interruption to observe the sleep time of the elderly, The state and quality of each stage of the product. Figure 5 also uses a bubble chart to present the attention events or alert events of the care recipient's life log, which can be used to represent the occurrence time of the attention event and the occurrence time of the alert event for safety indicators.

After each elderly person or caregiver executes the care prescription recommended by the system, the daily routine and rest records continuously collected by the system are processed, interpreted and compared by the intelligent module, and presented in a visual chart, which can quickly interpret and compare the elderly. The living condition and improvement level of the elderly, provide care more suitable for the dynamic needs of the elderly, and achieve the goal of "long-term intelligent life care service at home" Target.

According to another aspect of the present invention, the present invention can be implemented as a long-term intelligent care method at home. As shown in FIG. 6, the long-term intelligent care method 600 at home includes:

Step 610, long-term collection of the daily behavioral state and daily physiological state of the care recipient;

Step 620: Collect the collected daily behavioral states and daily physiological states of the care recipients, and process the daily behavioral states and daily physiological states of multiple care recipients to obtain a behavioral feature log and a physiological feature log for each care recipient. life log; and

Step 630: Send the life log of the designated care recipient to the front-end presentation device for presentation.

For other details of the intelligent care method, reference may be made to the above-mentioned intelligent care system, which will not be repeated here.

In the present invention, "connected", "connected", "connected", "connected" and the like refer to words that are electrically connected, unless otherwise specified, it refers to a direct or indirect electrical connection, and "coupled" refers to a direct or indirect electrical connection Electrical connection or coupling connection.

The foregoing description has fully disclosed specific embodiments of the present invention. It should be pointed out that any changes made by those skilled in the art to the specific embodiments of the present invention will not depart from the scope of the claims of the present invention. Accordingly, the scope of the claims of the present invention is not limited to the foregoing specific embodiments.

100: Smart Care System

110: Terminal equipment group

120: IoT Server

130: Cloud server

140: Front-end rendering device

Claims (17)

A long-term intelligent care system at home is characterized in that, it comprises: a terminal device group arranged in the residence of a care recipient, which is configured to collect the daily behavior state and daily physiological state of the care recipient for a long time. Each of the terminal device groups is used to observe and collect one or more of the care recipients living in a residence, and the daily behavior status includes the time-axis activity track and behavior type of the care recipient, and the behavior type includes activity , rest, sleep, eat, wash and go to the toilet, the terminal equipment group includes ultra-wideband detection equipment or channel sensors arranged in each activity area in the residence, and the ultra-wideband detection equipment or channel sensors can be taken care of activity track and behavior type of the user; an IoT server that communicates with the terminal equipment group, which is configured to collect data uploaded by one or more terminal equipment groups; a communication with one or more of the IoT server It is configured to receive and store the data collected by one or more terminal equipment groups uploaded by the IoT server, and to monitor the daily behavior status and daily physiological status of the care recipients. Perform processing to obtain a life log including a behavioral feature log and a physiological feature log of each of the care recipients, the life log of the care recipient includes a sleep log, a defecation log, an activity log, and a rest log, and the sleep log includes each sleep log. Time period, sleep occurrence area, and sleep cycle. The defecation log includes one or more of defecation period, stool volume, urine volume, and blood in stool. The activity log includes activity time period, activity area, activity volume, and activity method. One or more of them, the rest log includes one or more of a rest period and a rest area; and a front-end presentation device that communicates with the cloud server and is configured to view the life log of the designated person; One or more care indicators are set for each care recipient in the cloud server, Each care indicator is set with a attention value and a warning value, and based on the life log of the person being cared for, the attention value of the care indicator, and the warning value of the care indicator, the precautions and precautions of the person being cared for are provided. According to the home long-term intelligent care system of claim 1, wherein the residence is divided into several specific areas, and the specific areas include one or more of bathroom, bedroom, living room, dining room, drying area, and study room, and the activity track is divided into various A specific area is divided into physical space. The daily physiological state includes one or more of the basic body index state, breathing state, sleep state, cardiovascular state, bowel and bladder state, blood sugar state, and muscle strength and joint state. The basic body index state Including one or more of body weight, body mass index, body fat rate, internal fat level, basal metabolic rate, muscle mass, body water, skeletal muscle rate, and body age, and the breathing state includes one or more of breathing frequency and breathing depth. The sleep state includes one or more of sleep duration, sleep period, sleep frequency, and sleep cycle, and the sleep cycle includes sleep onset, light sleep, deep sleep, and rapid eye movement. Cardiovascular status includes one or more of heart rate, heart rate variability, blood pressure, and pulse condition. The urination and defecation status includes one or more of stool volume, stool frequency, blood in stool, urination volume, and urination frequency. The blood glucose status includes blood sugar One or more of the concentration, fasting or postprandial test state, the muscle strength and joint state include one or more of the strength, endurance and extension state of the muscles and joints of the limbs, shoulders, neck and waist during the recovery function training process. As in the home long-term intelligent care system of claim 2, wherein the life log of the person being cared for includes one or more of: a log of basic body index, a log of cardiovascular parameters, a log of blood glucose parameters, a log of respiratory parameters, and a log of recovery parameters. The body basic index log includes the body weight related index measurement and the record of the measurement period. The cardiovascular parameter log includes one or more of detection time, heart rate, heart rate variability graph, blood pressure value, and pulse condition. The blood glucose parameter log includes the measurement time and blood sugar. concentration, the respiratory parameter log includes detection time, exhalation One or more of the inhalation frequency and the breathing depth, and the recovery parameter log includes one or more of the detection time, the negative gravity of the whole body muscles and important joints, the endurance, and the extension measure. For example, the long-term home-based intelligent care system of claim 1, wherein the care indexes include basic body index index, defecation index, sleep index, cardiovascular parameter index, blood sugar parameter index, respiratory parameter index, activity index, rest index, and recovery index, among which one or more. According to the home long-term intelligent care system of claim 4, the basic body index index includes one or more of body mass index, body mass index index, and body index rate index, and the defecation index includes urination frequency index, defecation frequency index, and urination average. One or more of the volume index, the average stool volume index, the duration index of each time of urination, and the index of the duration of each stool. The sleep index includes the index of the duration of deep sleep, the duration of falling asleep, and the duration of the four-stage sleep cycle. One or more of the indicators, the cardiovascular parameter indicators include one or more of heart rate indicators, heart rate variability indicators, blood pressure indicators and pulse indicators, the blood glucose parameter indicators include one or more of the blood glucose concentration indicators before and after meals, the The breathing parameter index includes one or more of the breathing frequency index and the breathing depth index, the activity index includes one or more of the activity duration indices in each area, and the rest index includes one or more of the rest duration indices in each area. Multiple, the recovery index includes one or more of the exercise force negative gravity endurance index of the important joints of the whole body muscles. The home long-term intelligent care system according to claim 1, wherein when someone invades the care recipient's residence, the front-end presentation device issues a warning. The home long-term intelligent care system of claim 1, wherein the terminal equipment group includes an ultra-wideband detection device, the ultra-wideband detection device detects breathing frequency, breathing depth, sleep cycle state, and the daily actions of the care recipient, and the daily actions include The position of the care recipient laterally Movement, longitudinal movement of position, and instantaneous movement of abnormal position, the daily action analysis can obtain the behavior status of the care recipient. The terminal equipment group includes a non-contact detector, which uses face image recognition technology to detect heart rate , heart rate variability, blood pressure, respiration and pulse, and will be collected, the terminal equipment group includes a smart toilet, which can monitor the time of each urination and the amount of urination of the care recipient, as well as the time and time of each bowel movement. The amount of stool, the terminal equipment group includes a smart blood glucose meter, which can automatically detect the blood glucose concentration, and the terminal equipment group includes a re-energizing device, and the re-energizing device can measure the action force and negative gravity endurance of the muscle strength joint. The device group can upload the collected data to the cloud server through the IoT server. According to the long-term home-based intelligent care system of claim 1, the terminal equipment group includes a rescue device. When receiving a distress signal sent by the care recipient from the distress device in the residence, the front-end presentation device will issue a distress signal, and the distress device will send a distress signal. When an emergency situation of the person being cared for is detected, the front-end presentation device will actively send out a distress signal. According to the long-term home care system of claim 1, the terminal device group further includes one or more of smart devices and infrared devices, and the smart devices include one of smart home appliances, smart switches, smart speakers, smart security, and smart gas stoves Or more, the infrared device is used to detect the movement of various household appliances and objects controlled by infrared technology, and perform the management and remote control of the Internet of Things. For example, the long-term home-based intelligent care system of claim 1, wherein the IoT server manages various terminal devices in the terminal device group on the one hand, collects the data uploaded by each terminal device, and downloads the management instructions of the corresponding terminal device, on the other hand, via Communication channel to communicate with this cloud server. For example, the long-term intelligent care system for home as claimed in item 10, wherein the IoT server registers, classifies, numbers, configures and activates all connected terminal devices, And it is synchronized with the device authentication management module in the cloud server through the communication protocol. If the home long-term intelligent care system of claim 1, the cloud server can perform: the life log management, according to the current life log of each person being cared for, issue long-term care prescriptions, and carry out targeted care; a warning Information management, in which the warning information includes people and equipment. When implementing the care prescription of the care recipient, if it is found that the reference standard of the prescription is violated, the system will issue an alarm, notify the relevant personnel according to the process, and conduct daily tracking and assessment at the same time , the equipment is also automatically audited according to the equipment operation standards. If there is an abnormality, an alarm will be issued, the relevant maintenance personnel will be notified according to the standard process, and the repair process will be tracked at the same time; a major data analysis, in which the life log of each care recipient is not only provided. Statistical analysis of data mining and big data analysis to improve the portrait of the person being cared for. A long-term intelligent care method at home, the method comprising: using a terminal device group arranged in the residence of the care recipient to collect the daily behavioral state and the daily physiological state of the care recipient for a long time, wherein the daily behavioral state includes the care recipient's physical condition. The activity track and behavior type on the time axis, the behavior type includes one or more of activities, rest, sleep, eating, toileting and toileting, and the terminal equipment group includes ultra-wideband detection equipment or Channel sensors, based on ultra-wideband detection equipment or channel sensors, can obtain the activity track and behavior type of the care recipients; The daily behavioral state and daily physiological state are processed to obtain a life log including behavioral characteristic log and physiological characteristic log of each care recipient. The life log of the care recipient includes sleep log, defecation log, activity log, and rest log. The sleep log The log includes the time period of each sleep, the sleep occurrence area and the sleep cycle. The defecation log includes one or more of the defecation period, stool volume, urine volume, and blood in the stool. The activity log includes the activity period and the activity area. , the amount of activity, and the way of activity The rest log includes one or more of the rest period and rest area; and the life log of the designated care recipient is sent to the front-end presentation device for presentation; one or more caregivers are set for each care recipient Indicators, each care indicator is set with a attention value and a warning value, and based on the life log of the person being cared for, the attention value of the care indicator, and the warning value of the care indicator, the precautions and precautions of the person being cared for are provided. According to the long-term intelligent care method at home of claim 13, wherein the residence is divided into several specific areas, and the specific areas include one or more of bathroom, bedroom, living room, dining room, drying area, and study room, and the activity track is divided into various A specific area is divided into physical space. The daily physiological state includes one or more of the basic body index state, breathing state, sleep state, cardiovascular state, bowel and bladder state, blood sugar state, and muscle strength and joint state. The basic body index state Including one or more of body weight, body mass index, body fat rate, internal fat level, basal metabolic rate, muscle mass, body water, skeletal muscle rate, and body age, and the breathing state includes one or more of breathing frequency and breathing depth. The sleep state includes one or more of sleep duration, sleep period, sleep frequency, and sleep cycle, and the sleep cycle includes sleep onset, light sleep, deep sleep, and rapid eye movement. Cardiovascular status includes one or more of heart rate, heart rate variability, blood pressure, and pulse condition. The urination and defecation status includes one or more of stool volume, stool frequency, blood in stool, urination volume, and urination frequency. The blood glucose status includes blood sugar One or more of the concentration, fasting or postprandial test state, the muscle strength joint state includes one or more of the strength, endurance, and extension state of the muscles and joints of the limbs, shoulders, neck, waist and joints during the recovery function (recovery) training process . The long-term intelligent care method at home according to claim 14, wherein the life log of the care recipient includes one or more of: a basic body index log, a cardiovascular parameter log, a blood glucose parameter log, a respiratory parameter log, and a recovery parameter log, and the Body basic index log includes body Record of weight-related index measurement and measurement period, the cardiovascular parameter log includes one or more of detection time, heart rate, heart rate variability chart, blood pressure value, and pulse condition, the blood glucose parameter log includes measurement time, blood glucose concentration, the respiratory parameter The log includes one or more of detection time, breathing frequency and breathing depth, and the recovery parameter log includes one or more of detection time, weight-bearing force of whole body muscles and important joints, endurance, and extensibility metrics. According to the long-term intelligent care method at home according to claim 13, the care indexes include basic body index index, defecation index, sleep index, cardiovascular parameter index, blood sugar parameter index, respiratory parameter index, activity index, rest index, and recovery index, among which one or more. According to the long-term intelligent care method at home of claim 16, wherein the basic body index index includes one or more of body mass index, body mass index index, and body index rate index, and the defecation index includes the index of the frequency of urination, the index of the frequency of defecation, the index of urination average One or more of the volume index, the average stool volume index, the duration index of each time of urination, and the index of the duration of each stool. The sleep index includes the index of the duration of deep sleep, the duration of falling asleep, and the duration of the four-stage sleep cycle. One or more of the indicators, the cardiovascular parameter indicators include one or more of heart rate indicators, heart rate variability indicators, blood pressure indicators and pulse indicators, the blood glucose parameter indicators include one or more of the blood glucose concentration indicators before and after meals, the The breathing parameter index includes one or more of the breathing frequency index and the breathing depth index, the activity index includes one or more of the activity duration indices in each area, and the rest index includes one or more of the rest duration indices in each area. Multiple, the recovery index includes one or more of the exercise force negative gravity endurance index of the important joints of the whole body muscles.

Images