TWM531023U - Multi-functional care system of client physiological state detection system and Internet of things thereof - Google Patents

Description

Sensing system for detecting physiological state of users and multifunctional nursing system for applying Internet of Things

This creation is about a long-term care system, especially a multi-functional long-term care system that can be used for home care.

The concept of the Internet of Things (IoT) was first proposed by Kavin Ashton of MIT in 1999. It uses sensors or radio frequency tags (RFID) mounted on objects to communicate over the Internet and the Internet ( Internet) serially delivers messages for intelligent identification and rapid management. The key technologies of the Internet of Things have three main components: sensors, radio frequency tags, and smart handheld devices (mobile phones, etc.). In the system architecture, the Internet of Things consists of three facets: (1) Sensing end: used for identification or sensing of objects, such as sensors or radio frequency tags. (2) Network transport layer: Data is transmitted to the terminal platform through the Internet. (3) Application and server: The terminal platform performs information processing, sharing and follow-up service application for the attributes of the data.

In the future direction of medical development, various remote monitoring and sensing technologies, such as video, blood pressure, and intelligent medication systems, will be gradually replaced by high-cost and time-consuming clinical consultation models. It is necessary to achieve a perfect home care program. Introduce the above-mentioned high-end medical equipment into the general household, communicate with the cloud medical center through a complete and unified communication transmission platform, so as to provide appropriate medical consultation for the care recipient. And monitor the health and physiological status of the care recipient.

At present, there are still several technical problems to be solved in the application of IoT: (1) Dynamic networking and node mobility management in large-scale networks: When the monitoring system is extended to communities, cities and even the whole country, its network size is huge. And both the monitoring node and the base station have certain mobility. Therefore, it is necessary to design a suitable network topology management structure and node mobility management method. (2) Data integrity and data compression: Nodes sometimes need to monitor human parameters for up to 24 hours. The amount of data collected is large, and the storage capacity is small. Compression algorithm is often used to reduce the storage and transmission of data. However, the compression algorithm of traditional data is costly and not suitable for sensor nodes. In addition, the compression algorithm can not damage the original data, otherwise it will cause misjudgment. (3) Data security: The wireless communication sensor network is self-organizing to form a network, which is vulnerable to attacks. In addition, the information of the caregiver needs to be kept secret. Wireless communication sensing nodes have limited computing power, and traditional security and encryption technologies are not suitable. Therefore, there is clearly room for improvement in existing care systems.

The purpose of this creation is to provide a versatile care system that provides complete care for caregivers.

In order to solve the above problems, the present invention provides a sensing system for detecting a physiological state of a user, comprising a plurality of networked sensing modules and a data martial module. The networked sensing module is configured to detect physiological data of a user and connect with other sensing modules through wireless means. The sensing module includes at least one sensing unit for detecting physiological data of the user, and a wireless connection to other senses The transmission unit of the test module. The data splicing module includes a processing unit connected to or coupled to the plurality of sensing modules, and the plurality of sensing units are coordinated by multi-hop routing to respectively activate the sensing unit to collect the The physiological data of the user, and the physiological data of the user is obtained by the multi-hop routing and stored in a storage unit.

Further, the sensing module further includes a processing chip, and the plurality of sensing units detect the same physiological data of the same user, the processing chip is connected to the sensing unit, and the plurality of The physiological data obtained by the sensing unit respectively performs data fusion to obtain optimized physiological data, and the obtained optimized physiological data is transmitted to the data collection module.

Further, the data fusion system is an adaptive weighted data fusion method.

Further, the sensing module has a radio frequency RFID reader (RFID Reader) for reading data of a user's radio frequency tag (RFID) to confirm the identity of the user, thereby capturing the sensing unit. The physiological data obtained is associated with the identity of the user.

Another object of the present invention is to provide a multifunctional care system for applying the Internet of Things, in conjunction with the sensing system setup as described above. The versatile care system includes a human interface and a processor. The human machine interface has an input device for the user to input commands, and an output device for the user to read the information. The processor is connected to the data martial module by wire or wirelessly to obtain physiological data of the user via the data martial module, and the physiological data is used according to the data. The identity of the user is stored in the corresponding database management device to achieve remote monitoring of the immediate state of the user's physiological state.

Further, the database management device is a network additional storage, and the network additional storage is connected to the human machine interface via a wired or wireless means, and provides a storage device for storing the user data and the physiological data. A database and an operating platform for users or healthcare professionals to log in via the electronic device via wired or wireless means.

Further, the multifunctional care system further includes one or more cameras connected to the processor via wired or wireless means, and the camera transmits the captured images to the processor to view the images according to the user's The identity is stored in the corresponding database management device to achieve remote monitoring of the user's immediacy.

Further, the multifunctional care system further includes a background management center, and the user can communicate with the background management center through the input device and the output device of the human machine interface in an emergency.

Further, the multifunctional care system further includes a sensing system that detects an environmental state, and the processor is connected to the sensing system to obtain various parameters in the environment to perform real-time detection on the environment in which the user is located. Measurement.

Further, the multifunctional care system further includes a positioning system for detecting a position of the user, the user system is equipped with an active radio frequency tag, and the positioning system detects the RSSI value of the active radio frequency tag, and according to the The RSSI value locates the user's specific location in three-dimensional space by triangulation.

This creation has the following advantages over the prior art:

1. This creation will realize the ideal of "silver hair care is ubiquitous" through dynamic networking and node mobility management in large-scale networks.

2. This creation combines medical device technology and communication technology into health, medical and care related services, which can greatly reduce the need for human care, and can provide immediate monitoring by the caregiver.

3. This creation department reduces the amount of data transmission through local calculation and fusion of physiological data obtained by a plurality of sensors, which can effectively save energy, obtain more accurate information, and improve data collection efficiency.

100‧‧‧Multi-Functional Care System

1A‧‧‧human machine

10‧‧‧Human Machine Interface

10A‧‧‧Wearing device

10B‧‧‧Host

11‧‧‧ physical button

11A‧‧‧Radio Frequency Label

12‧‧‧Touch panel

12A‧‧‧Emergency Call Button

13‧‧‧Virtual operation interface

13A‧‧‧Contacts Communication Menu

13B‧‧‧ Physiological Status Test Menu

13C‧‧‧ Medical Care Teaching Menu

13D‧‧‧Accessibility menu

14‧‧‧Microphone device

20‧‧‧ tag reader

30‧‧‧ Processor

40‧‧‧ camera

50‧‧‧Physiological sensing system

51‧‧‧Networked Sensing Module

52‧‧‧ Data Collection Module

53‧‧‧Transport network

60‧‧‧Environmental Sensing System

70‧‧‧User Positioning System

80‧‧‧Database management equipment

90‧‧‧Backstage Management Center

Figure 1. Block diagram of the author's multi-functional care system.

Figure 2 is a schematic view of the appearance of the human-machine interface.

Figure 3 is a block diagram of the present sensing system.

Figure 4 is a block diagram of the radio frequency identification of the present invention.

Figure 5 is a schematic diagram of the operation of the present positioning system.

The detailed description and technical content of this creation are described below with reference to the drawings. Furthermore, the drawings in this creation are for convenience of description, and the proportions thereof are not necessarily drawn to the actual scale, and the drawings and their proportions are not intended to limit the scope of the present invention, and are described herein first.

The present invention provides a multifunctional care system 100 for instantly detecting the physiological condition of an care recipient and transmitting the environmental image back to the medical monitoring through the camera. In addition to the instant observation, the center also conducts video archiving for medical inquiry. In addition, the creative department constructs a ZigBee wireless sensing network node and cooperates with the RFID identity to provide instant protection and has the functions of calling and tracking the caregiver.

The creation additionally provides a service for the user's online online chat function, and provides a chat room, a discussion area, a personal electronic newsletter, a user calendar management, a file sharing, a photo sharing function, etc. through the human machine interface 10, and establishes a connection with other users via the website. In addition, this creation also provides an emergency call function, coupled with the active RFID call function of the network camera and the wireless sensing network, and can be designed through the designed human-machine interface device when the user needs or needs emergency assistance. Automatic dialing or direct call to the background management center 90, the background management center 90 will re-confirm according to the image feedback from the network camera, and then through the wireless sensing network positioning and tracking function to know the current location of the emergency call, thereby Reduce rescue time and effort.

Please refer to Figure 1. This creation provides a multi-functional care system for the Internet of Things, as shown in the figure:

The versatile care system of the present invention comprises a manipulator interface 10, a tag reader 20, a processor 30, a camera 40, a physiological sensing system 50, an environment sensing system 60, a user positioning system 70, a database management device 80, and Backstage Management Center 90.

The human machine interface 10 has an input device for the user to input an instruction, and an output device for the user to read the information. The input device can be specifically a mouse, a keyboard, a touch screen, a button, a graphical user interface, and a wheat The device may be a display, a speaker, an earphone, a projector, a printer, or the like, and is not limited in the present invention.

The radio frequency tag reader 20 is used for identity verification, each of the caregivers has its own RFID tag, and the radio frequency tag reader 20 can verify the identity of the user when reading the RFID tag, and When the identity verification is successful, the above-mentioned human interface 10 is activated for the caregiver to operate and access the relevant medical information of the care recipient.

The processor 30 can be a microprocessor, or the processor 30 can be any commercially available processor, controller, microprocessor, or state machine. Processor 30 may also be implemented by a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors and a DSP core, or other various settings.

The camera 40 is connected to the processor 30 via a wired or wireless means, and transmits the captured image to the processor 30 to store the image in the corresponding database management device 80 according to the user's identity. Remote monitoring of the user's immediacy is achieved. The camera 40 can be a consumer type network camera (Webcam) directly connected to a computer for video communication, or a network surveillance camera (IP Camera/Network Camera) for security monitoring, and is not limited in this creation. .

The physiological sensing system 50 coordinates a plurality of sensing units by multi-hop routing to respectively activate the sensing unit to collect physiological data of the user, and obtain physiological data of the user by using the multi-hop routing and the physiological data. Stored in a storage order yuan. The physiological data may be, for example, blood pressure, blood sugar, body temperature, electrocardiogram, body fat data, body weight data, blood oxygen content, or other physiological data that can be obtained through the human body, thereby completing immediate monitoring and detection.

The environment sensing system 60 determines the environmental quality and environmental state of the environment in which the user is located by using the environmental data. The environmental data may be humidity, temperature, brightness, illuminance, air quality, specific gas concentration (such as carbon dioxide), air pressure, etc. or other environmental data that may affect the health status of the care recipient or the patient, thereby completing the immediate monitoring. And protection. Through the environment sensing system 60, the processor 30 can adjust the electrical equipment (such as the air cleaner, the dehumidifier, the lighting control module) of the position of the caregiver via the above environmental data, or directly through the background management center 90. Control to provide the most appropriate care environment for the caregiver. The environment sensing system 60 can be connected to the plurality of environment sensing modules in the same manner as the physiological sensing system 50 to transmit the collected environmental data to the processor 30 via the data collecting module 52. And the background management center 90; similarly, the processor 30 and the background management center 90 can also control a plurality of electrical devices (for example, medical devices) by means of multi-hop routing, which is not limited in the present invention.

The user positioning system 70 calculates the location of the caregiver in the room through the RSSI three-point ranging method. In a preferred embodiment, the user is equipped with an active radio frequency tag and at least three positioning devices wirelessly coupled to the active radio frequency tag. The positioning system 70 detects the RSSI value of the active radio frequency tag by each of the positioning devices, and locates the coordinates of the user in the three-dimensional space by triangulation according to the RSSI value. In another preferred embodiment, it is transparent The location of the GPS satellite is used to confirm the location of the user, thereby increasing the accuracy of the coordinates.

The database management device 80 is connectable to the human machine device 1A and/or the background management center 90, and provides a database for storing the user data and the physiological data, and a user or medical staff. The electronic device logs into the operating platform used by wired or wireless means. In addition to storing relevant medical data of the caregiver, the database management device 80 can also store images of the caregiver to record the condition of the caregiver, such as performing sleep recording through the camera 40 during sleep quality testing. In addition, the background management center 90 can also be connected to the database management device 80 to upload relevant care information, including physician guidance, first aid guidance, medication medication regulations, calendars or other related medical care content. In a preferred embodiment, the database management device 80 can be a Network Attached Storage (NAS) that uses the TCP/IP protocol. The NAS can operate under different operating systems with high compatibility. It is especially suitable for small data transmission work over long distances with low cost. It is especially suitable for storing a large number of users: Because NAS uses TCP/IP protocol, the open network architecture is especially suitable for streaming, video/Audio or CAD/CAM (computer-aided design/manufacturing). . Type of information.

The background management center 90 is connected to the plurality of personal computer interfaces 10 and the processor 30 thereof by wire or wirelessly to access the identity of the care recipient and detect the physiological state of the care recipient to the care recipient. Protect. In addition, the care recipient can communicate with the background management center 90 through the input device and the output device of the human machine interface 10 in an emergency. In another preferred embodiment, the background management The center 90 can monitor the state of the care recipient through the remote end of the cloud network. When the physiological state or environmental state of the care recipient occurs, the condition of the care recipient can be grasped at the first time, and corresponding measures are immediately made. . In another preferred embodiment, the background management center 90 can communicate with the human-machine interface 10 of the caregiver via the cloud network to communicate with the caregiver, for example, through an instant video conference to contact the care recipient. And guide the caregiver to perform first aid or corresponding medical treatment. The back-end management center 90 also needs to identify the identity of the system data to ensure the personal privacy of the care recipient.

Please refer to FIG. 2 . The following is a description of a preferred embodiment of the authoring human interface 10 as shown in the figure: In this embodiment, the human interface 10 has a physical button 11 and a touch panel 12 for the user to input corresponding commands. In addition, the author can provide a voice input function in addition to the above manner. The user operates the human interface 10 through a voice input command. The part of the physical button 11 can be attached to the main menu or the emergency call function, and the physical button 11 can prevent the caretaker (or the user) from being accidentally touched. The touch panel 12 can display a virtual operation interface and an image for the care recipient to obtain medical related information via the virtual operation interface 13 or perform functions such as an APP software, an instant video conference, and the background management center 90 or other caregivers. Contact person for instant messaging. A microphone device 14 is disposed on one side of the human machine interface 10, and an earpiece and a microphone are disposed thereon for use by the caregiver in the instant communication.

In this embodiment, the virtual operation interface 13 is provided to include There are four main menus, such as the communication menu 13A, the physiological state detection menu 13B, the medical care teaching menu 13C, and the auxiliary function menu 13D. The number and function of the menu can be increased or decreased according to the actual demand. The quantity and function are not Within the scope of this creative desire.

The Contact 13A menu can be used to communicate with other contacts in the contact menu or the back office management center 90 to contact other people through an instant video conference. In addition, the contact communication function provides a plurality of functions such as a chat room, a discussion area, a personal electronic newsletter, a calendar management, a file sharing, and a photo sharing, so as to gather popularity and traffic. Among them, the Unified Message System (UMS) can receive various types of information, and virtual private network (IP-VPN), for example, combined with various telecommunication products (such as voice mail, fax, email). , paging, SMS, WAP wireless network and ICQ, etc., to deliver instant and effective messages, so that multiple pieces of information can be managed through a single system. In addition, by providing various types of information conversion services, the standardized digital format can be read at any time/anywhere/any device, saving the time, cost and efficiency of the caregiver. Integrate mobile communications and e-mail to send SMS, e-mail and fax directly from the web interface, even if you are on the go, you can log in to the messaging service center via phone or mobile phone to receive or receive various messages. In addition, Interactive Voice Responding (IVR) is provided to strengthen the interactive channels between medical care unit services and caregivers.

The physiological state detection menu 13B can be used to detect the physiological state of the care recipient and display the detected data on the touch panel 12 or to the background tube. The management center 90 is for the user to confirm or record by the background management center 90.

The Medical Care Teaching Menu 13C provides medical consultation video related to the caregiver. When the caregiver has physical discomfort or medical related questions, the user can connect to the network attached storage to access the corresponding image and play it through a simple interface.

The auxiliary function menu 13D can provide users with other miscellaneous processing, such as using the human-machine interface to watch TV, games, shopping, participating in the community, calendar, alarm settings, etc., and is not limited in this creation.

Please refer to "Fig. 3". The following is a detailed description of the physiological sensing system 50 of the present invention, as shown in the figure: The physiological sensing system 50 mainly includes a networked sensing module 51 and a data martial module 52 for forming a wireless sensor network. The wireless sensor network is a special Ad-hoc network that does not require fixed network support and is characterized by rapid deployment and strong resistance to damage.

The plurality of networked sensing modules 51 are configured to detect physiological data of the user and connect with other networked sensing modules 51 through wireless means. Each of the networked sensing modules 51 includes a processing chip, a transmission unit that is connected to other sensing modules through a wireless means, and has a plurality of sensing units that detect the same physiological data of the same user. The processing chip is connected to the sensing unit, and the physiological data obtained by the plurality of sensing units are separately fused to obtain optimized physiological data, and the obtained optimized physiological data is transmitted to the data sink. The module module 52 is connected to the data sink module 52 by wire or wirelessly to obtain the user's physiology via the data module module 52. The data is stored in the corresponding database management device 80 according to the user's identity to achieve remote monitoring of the user's physiological state. Specifically, the sensing unit is responsible for detecting the physiological state of the user, and using the analog signal to represent the collected data, and using the analog conversion component ADC (Analog-to-Digital Converters), the analogy obtained by the sensing unit The signal is converted into a digital signal for sending to the data martial module 52, so as to integrate the data and integrate the data to obtain the optimal fused data via the transmission network 53 (can be a regional network, the Internet) The road or direct connection is transmitted to the human machine device 1A corresponding to the care recipient or the background management center 90 for processing. The sensing unit can be used, for example, to obtain an electrocardiogram, a blood oxygen concentration, an electromyogram, an electroencephalogram, and the like of the care recipient, and collect physiological data of the care recipient through the plurality of sensing units.

The data splicing module 52 includes a transmission unit connected to or coupled to the plurality of sensing modules 51, and the plurality of sensing units of each sensing module 51 are coordinated by multi-hop routing. And respectively, the sensing unit is activated to collect physiological data of the user, and the physiological data of the user is obtained by the multi-hop routing and the physiological data is stored in the storage unit. The storage unit may be a database management device 80, a storage unit built in the human device 1A, or a database of the background management center 90, which is not limited in this creation.

Among them, the data fusion described in this creation can be weighted average method, Kalman filter algorithm, Bayesian estimation algorithm, DS (Dempster-Shafter) evidence theory algorithm, fuzzy logic algorithm, neural network algorithm, self Adaptive weighted data fusion method, quality factor algorithm, expert system algorithm, template method, A polyanalytic algorithm, a statistical decision theory algorithm, or a combination of two or more methods for data fusion, etc., are not limited in this creation. The following is a description of a preferred embodiment:

In a preferred embodiment, the data fusion means is an adaptive weighted fusion algorithm, and the corresponding weights are adaptively searched according to the measured values obtained by the sensing units to achieve an optimal fusion result.

It is assumed that the information measured between nodes is different in the same monitoring area. In Table 2, P _ij , i =1, 2, 3.. r , j =1, 2, 3... c represents the observation information of the i-th sensor corresponding to the j-th target, and c is the target The number is unknown. The measured square difference of each sensor is σ ₁ , σ ₂ ,... σ _r .

( P _j is the final observation of the jth target)

Square error function based on total system measurement The principle of minimum is to find the partial derivative function of the function f ( W ₁ ... W _r ) by the conditional extremum solution of the multivariate function.

Solving the above equation can be obtained:

Simultaneously Therefore, the obtained W ₁ ,... W _r is the fusion weight of each sensor that we want to make the total square difference ( f ( W ₁ ,... W _r )) small.

And at this time there are:

Moreover, it can be seen from the equation that as long as the measurement square difference of each sensor is determined, the final observation value P _{j of the} target is only related to the measured value of each sensor. And from the above results, the weighted and batch estimates have the same formula, except that the weighted estimate assigns weights to each sensor, and the batch estimate is the average of each batch. As a new material, weights are then weighted by assigning weights to the average of each batch.

Arithmetic mean: , j =1, 2... c , whose squared difference is:

From equation (5), the square of the data fusion algorithm based on neural network is:

It can be derived from Schwartz's inequality:

It can be seen from the equation that the neural network-based data fusion algorithm results in small fluctuations in the fusion value and good stability.

Firstly, a position communication distance measurement for measuring the degree of support between the odometer measurement data is defined. Based on this, the position communication distance matrix and relationship matrix between the multi-mile meter measurement data are constructed, and then the directed graph method is used to eliminate The measurement data containing a large amount of errors or errors is discarded, and finally the maximum likelihood estimation method is used to solve the optimal fusion value of the multi-mile meter measurement data. When the same parameter is measured by using multiple sensing unit networks on the wireless sensing network with multiple sensing signals, the data measured by the i-th sensing unit and the j-th sensing unit is X _i , X _j And all obey the Gaussian distribution, taking the respective pdf curves of the measured values as the characteristic functions of the sensing unit, respectively denoted as p _i ( x ), p _j ( x ), and note that X _i and X _j are respectively X _i , X An observation of _j . In order to reflect the magnitude of the deviation between the observed values X _i and X _j , the concept of the position communication distance measure is introduced:

In the formula,

d _ij and d _ji are respectively referred to as the confidence distance measures of the i-th sensing unit and the j-th sensing unit reading, which together reflect the degree of agreement between the two measured values. The smaller the value of d _ij , the closer the observations of the two sensing units are, otherwise the larger the deviation is, so d _ij is also called the fusion degree of the two sensing units. A and B are the areas of the probability density curve p _i ( x | x _i ) and p _j ( x | x _j ) in the interval ( x _i , x _j ), respectively.

When x _i = x _j , d _ij = a _ji =0; when x _i ≫ x _j or x _i ≪ x _j , d _ij = d _ji =1.

If there are m sensing units measuring the same index parameter, the confidence distance measure d _ij ( i , j =1, 2, . . . , m ) constitutes a matrix D _m , which is called position communication of multi-sensing unit data. A distance matrix that describes the degree of consistency support for each sensor. The data merges with a best fused data (optimized physiological data) and uses it as the final result of the measured parameters. One data in the fusion set comes from the same population, and its probability density function is expressed by equation (23), so that the joint density containing the parameter θ to be estimated, that is, the maximum likelihood function as shown in equation (14) can be constructed.

Vi =1,2,..., l

The best fusion value of the obtained original measurement data Should meet the following formula:

The natural logarithm of the two sides of the (24) equation can be obtained:

General likelihood principle , which is

Solutions have to

It is the optimal fusion data of the fusion set { x ₁ , x ₂ ,..., x _l ;}.

The above-described data fusion technique can be applied to the environmental sensing system 60 in addition to the physiological sensing system 50, which will be described first.

Please refer to FIG. 4 , in this embodiment, a radio frequency tag reader (RFID Reader) is used to read the data of the user's radio frequency tag (RFID) to confirm the identity of the care recipient, thereby sensing the sensor. The physiological data retrieved by the unit is associated with the identity of the care recipient. The caregiver locates the user's location and performs identity confirmation by installing a wearable device 10A having a radio frequency tag 11A (RFID) on the body. The system mainly includes a radio frequency tag 11A, a tag reader 20, and a host 10B (for example, a physiological signal measuring machine, a human machine 1A). The radio frequency tag 11A is a storage element of the data, and the tag reader 20 is a tool for reading data from the radio frequency tag 11A or storing the data into the radio frequency tag 11A. The tag reader 20 transmits the read data to the host 10B and uses different applications to interpret the data to assist the user in making quick and correct decisions. When the radio frequency tag 11A senses the radio wave emitted by the tag reader 20, an "alternating magnetic field" is generated to activate the RF transmitter module and the microprocessor built in the radio frequency tag 11A, and the radio frequency tag is placed inside the radio frequency tag. The EEPROM information is passed back to the tag reader 20, which in turn transmits the data to the host via RS-232, USB, or WLAN.

Radio Frequency Identification (RFID) has a unique identification code that can be used to bind to the care recipient's identity to manage the personal medical information of each caregiver to avoid misdiagnosis of patient diagnosis and personal information. Case. In a preferred embodiment, the caregiver can periodically or irregularly measure physiological signals such as pulse signals, electrocardiograms, and blood oxygen concentration by embedding the tag reader 20 on the corresponding physiological signal measuring machine. Confirm the identity of the care recipient. The wearable device 10A includes a radio frequency tag 11A for storing basic information of the patient itself. When a certain caregiver wants to perform measurement, the tag reader 20 must be brushed first to confirm the data. With the data set, the measured information will be owned by the individual, and the patient's measurement data will be prevented from being confused due to confusion, so as to ensure the correctness and protection of personal medical information. In addition, when the caregiver wears active RFID, it will perform personal location and real-time tracking of the caregiver with the reference point of the ZigBee base station. The wearable device 10A also provides an emergency call button 12A for transmitting an emergency help message to the background management center 90 via the wearable device 10A to provide care and emergency support for the caregiver.

The radio frequency tag 11A can be active or be Passive, the active tag contains power, can transmit information to the tag reader 20 at any time, and has a long communication distance to store large memory; the passive tag power comes from the tag reader 20 The electric wave is generated to generate a micro-current to the radio frequency tag to supply its power, and then the electric wave is used to transmit the information back to the reader, and the communication distance is short.

Please refer to FIG. 5. The following is a description of a preferred embodiment of the positioning function of the present creation, as shown in the figure:

In this embodiment, ZigBee and RFID are used as spatial positioning technologies, and the system adopts an active RFID reader and a ZigBee base station transmitter to expand the positioning range. The caregiver must wear an active RFID tag. The base station fixed reference node and antenna should be installed in the surveillance area. The author uses the Receive Signal Strength Indicator (RSSI) method to develop an indoor positioning system and active RFID. The label coordinates are calculated based on the RSSI strength because the signal strength is inversely proportional to the square of the distance. In a preferred embodiment, the position of the caregiver in the three-dimensional space can be located by triangulation.

The wireless sensing signal is easily affected by the environment, and the ZigBee base station transmitter signal is used to assist in estimating and positioning the RFID tag to obtain a reasonable attenuation signal and improve the positioning accuracy. The base station fixed reference node signal should be used as a positioning correction reference after multiple measurements to confirm its rationality. It is recommended to increase the density of fixed reference nodes of the base station in areas with greater environmental impact to improve the positioning accuracy, and vice versa to reduce the number of fixed reference nodes of the base station to reduce costs. This creation uses ZigBee and RFID technology to coordinate spatial information analysis to help managers track the care of silver-haired people. Location can improve the performance of facility equipment maintenance management. The positioning function can be combined with an anti-theft alarm device to improve the immediate support and call response efficiency of the care recipient.

In summary, this creation will realize the ideal of “silver hair care omnipresent” through dynamic networking and node mobility management in large-scale networks. This creation combines medical device technology with communication technology and applies it to health, medical and care related services, which can greatly reduce the need for human care and provide immediate monitoring by the caregiver. The creation system reduces the amount of data transmission through local calculation and fusion of physiological data obtained by a plurality of sensors, which can effectively save energy, obtain more accurate information, and improve data collection efficiency.

The above has been described in detail in the above, except that the above description is only a preferred embodiment of the present invention, and it is not possible to limit the scope of the creation of the creation, that is, the equality of the patent application scope of the creation. Changes and modifications are still covered by the patents of this creation.

100‧‧‧Multi-Functional Care System

1A‧‧‧human machine

10‧‧‧Human Machine Interface

20‧‧‧ tag reader

30‧‧‧ Processor

40‧‧‧ camera

50‧‧‧Physiological sensing system

60‧‧‧Environmental Sensing System

70‧‧‧User Positioning System

80‧‧‧Database management equipment

90‧‧‧Backstage Management Center

Claims (10)

A sensing system for detecting a physiological state of a user includes: a plurality of networked sensing modules for detecting physiological data of a user and interconnecting with other sensing modules by wireless means, the sensing module is a sensing unit including at least one detecting physiological data of the user, and a transmitting unit connected to the other sensing module through a wireless means; and a data splicing module including a processing unit connected or coupled to the plurality The transmission unit of the sensing module coordinates the plurality of sensing units by multi-hop routing to respectively activate the sensing unit to collect the physiological data of the user, and obtain the physiological data of the user by using the multi-hop routing And storing the physiological data in a storage unit. The sensing system of claim 1, wherein the sensing module further comprises a processing chip, and the plurality of sensing units detect the same physiological data of the same user, the processing chip Connecting to the sensing unit, and merging the physiological data obtained by the plurality of sensing units to obtain optimized physiological data, and transmitting the obtained optimized physiological data to the data martial module . The sensing system of claim 2, wherein the data fusion is an adaptive weighted data fusion method. The sensing system of claim 1, wherein the sensing module has a radio frequency RFID reader (RFID Reader) for reading user wireless A radio frequency tag (RFID) data is used to confirm the identity of the user, thereby associating the physiological data captured by the sensing unit with the identity of the user. A multi-functional care system for applying the Internet of Things, in conjunction with the sensing system set according to any one of claims 1 to 4, the multifunctional care system comprising: a human machine interface, which is available for user input An input device of the command, and an output device for the user to read the information; and a processor connected to the data sink module by wire or wirelessly to obtain the physiological data of the user via the data sink module And storing the physiological data in the corresponding database management device according to the identity of the user, so as to realize remote monitoring of the immediate state of the physiological state of the user. The multi-functional care system of claim 5, wherein the database management device is a network additional storage, and the network additional storage is connected to the human-machine interface via wired or wireless means. And a database for storing the user data and the physiological data, and an operating platform for the user or the medical staff to log in through the electronic device through wired or wireless means. The multi-functional care system of claim 5, further comprising one or more cameras connected to the processor via wired or wireless means, the camera transmitting the captured images to the processor, The image is stored in the corresponding database management device according to the user's identity, so as to realize remote monitoring of the user's immediacy. The multi-functional care system of claim 5, further comprising a background management center, wherein the user can communicate with the background management center through the input device of the human machine interface and the output device in an emergency situation. The versatile care system of claim 5, further comprising a sensing system for detecting an environmental state, the processor being coupled to the sensing system to obtain various parameters in the environment for targeting the user Instant detection in the environment. The multi-functional care system of claim 5, further comprising a positioning system for detecting a user position, the user system is equipped with an active radio frequency tag, and the positioning system detects the active radio frequency tag. The RSSI value is based on the RSSI value to locate the specific location of the user in the three-dimensional space by triangulation.