CN111110243A - Wearable tumble monitoring equipment and system - Google Patents
Wearable tumble monitoring equipment and system Download PDFInfo
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Abstract
The utility model relates to a wearing formula monitoring facilities and system that falls down, this wearing formula monitoring facilities and system that falls down adopts the wearing mode monitoring human body whether to take place to fall down to gather human physiological data, still fix a position the human region in the local space through utilizing bluetooth module and bluetooth basic station, will take place to fall down the instruction, human physiological data and regional sending in the local space give remote equipment, the remote monitoring personnel of being convenient for know human state of falling down, human physiological data and the region in the local space, so that the human state of falling down should be dealt with. The comprehensive monitoring of the tumble and the tumble condition is realized in a low-power consumption and low-cost mode.
Description
Technical Field
The application relates to the technical field of tumble monitoring, in particular to wearable tumble monitoring equipment and system.
Background
With the global aging and the increase of the elderly population, the health monitoring of the elderly has become an important social problem. The old people have a very high probability of falling down due to the decline of physical functions.
Among the related technologies, techniques for monitoring falls are mainly classified into 3 types: video image based analysis, audio signal based analysis, and portable wearable detection. The privacy safety of the user can not be guaranteed through video image analysis, the audio signal analysis and installation are complex, the fund investment is large, the wearable detection device is convenient, feasible and low in cost, and higher accuracy can be guaranteed.
In addition, in the related art, the position of the wearer of the portable wearable device is located by performing the positioning by a Global Positioning System (GPS).
Disclosure of Invention
The application provides a wearing formula monitoring facilities and system that tumbles to remote monitoring personnel know human body's the state of tumbling, human physiological data and the region in local space, so that deal with the human body condition of tumbling.
In a first aspect, the present application provides a wearable fall monitoring device, comprising: the bluetooth module is used for receiving bluetooth signals sent by a plurality of bluetooth base stations arranged in a local space, wherein the bluetooth signals comprise: base station ID and signal strength indication (RSSI); an inertial sensor for detecting attitude data of the wearer; the physiological data acquisition module is used for acquiring physiological data of a wearer; a wireless communication module; a memory, a processor, and computer program modules stored on the memory and executable on the processor, the computer program modules comprising: the positioning module is used for receiving the Bluetooth signal through the Bluetooth module and positioning the area of the wearer in the local space based on the received Bluetooth signal; the posture detection module is used for detecting the posture data of the wearer through the inertial sensor and determining whether the wearer falls down or not based on the posture data; monitoring module for when the posture detection module confirms that the person of wearing takes place to tumble, send monitoring message through wireless communication module to be received in remote equipment department, wherein, the information that detects the message and carry includes: an indication of a fall, a region of the wearer in a local space, and physiological data of the wearer.
In certain embodiments, the wearable fall monitoring device is adapted to be worn about the waist of a human.
In some embodiments, the inertial sensor comprises: an accelerometer for detecting an acceleration vector magnitude of a wearer; a gyroscope for detecting an attitude angle of the wearer; the posture monitoring module is used for determining whether the wearer falls or not based on the acceleration vector amplitude and the posture angle.
In certain embodiments, the physiological data acquisition module comprises at least one or any combination of the following: a blood pressure detection module for measuring the blood pressure of the wearer in a non-invasive manner by an oscillation method; the body temperature detection module is used for measuring the body temperature of a wearer; a single lead electrocardiogram sensor for measuring the heart rate of the wearer; and the breath detection module is used for measuring the breath sign parameters of the wearer through the piezoelectric sensor.
In certain embodiments, the wireless communication module is a mobile communication module.
In a second aspect, the present application provides a wearable fall monitoring system, comprising: lay a plurality of bluetooth basic stations, positioning server, the wearing formula of establishing in local space and fall down monitoring facilities and remote terminal, wherein, the wearing formula falls down monitoring facilities and includes: the bluetooth module is used for receiving bluetooth signals sent by a plurality of bluetooth base stations arranged in a local space, wherein the bluetooth signals comprise: base station ID and signal strength indication (RSSI); an inertial sensor for detecting attitude data of the wearer; the physiological data acquisition module is used for acquiring physiological data of a wearer; a wireless communication module; a memory, a processor, and computer program modules stored on the memory and executable on the processor, the computer program modules comprising: the posture detection module is used for detecting the posture data of the wearer through the inertial sensor and determining whether the wearer falls down or not based on the posture data; monitoring module for when the posture detection module confirms that the person of wearing takes place to tumble, send monitoring message through wireless communication module to be received in remote equipment department, wherein, the information that detects the message and carry includes: an indication of a fall, a region of the wearer in a local space, and physiological data of the wearer; the positioning server is used for receiving the base station ID and the signal strength indication from the Bluetooth module, determining a local space corresponding to the base station ID based on the corresponding relation between the base station ID and the local space, and determining the area of the wearer in the local space based on the signal strength indication; and providing the wearable fall monitoring device and the remote terminal with a region of the wearer in a local space; and the remote terminal is used for receiving and displaying the indication of the fall, the area of the wearer in the local space and the physiological data of the wearer.
In certain embodiments, the wearable fall monitoring device is adapted to be worn about the waist of a human.
In some embodiments, the inertial sensor comprises: an accelerometer for detecting an acceleration vector magnitude of a wearer; a gyroscope for detecting an attitude angle of the wearer; the posture monitoring module is used for determining whether the wearer falls or not based on the acceleration vector amplitude and the posture angle.
In certain embodiments, the physiological data acquisition module comprises at least one or any combination of the following: a blood pressure detection module for measuring the blood pressure of the wearer in a non-invasive manner by an oscillation method; the body temperature detection module is used for measuring the body temperature of a wearer; a single lead electrocardiogram sensor for measuring the heart rate of the wearer; and the breath detection module is used for measuring the breath sign parameters of the wearer through the piezoelectric sensor.
In certain embodiments, the wireless communication module is a mobile communication module.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
this wearing formula of this application embodiment provides falls down monitoring facilities and system, adopt the wearing mode to monitor whether the human body takes place to fall down, and gather human physiological data, still through utilizing bluetooth module and bluetooth basic station location human region in local space, will take place to fall down the instruction, human physiological data and regional sending in local space give remote equipment, be convenient for remote monitoring personnel to know human fall down state, human physiological data and the region in local space, so that deal with the human state of falling down. The comprehensive monitoring of the tumble and the tumble condition is realized in a low-power consumption and low-cost mode.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic view of one embodiment of a fall-on-wear monitoring system provided in an example of the present application;
fig. 2 is a hardware schematic diagram of an implementation of a wearable fall-down monitoring device according to an embodiment of the present application;
fig. 3 is a block diagram illustrating a structure of an embodiment of a wearable fall-down monitoring program module according to an embodiment of the present disclosure; and
fig. 4 is a schematic view of another embodiment of a wearable tumble monitoring system according to an embodiment of the present application.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
This wearing formula of this application embodiment provides falls down monitoring facilities and system, adopt the wearing mode to monitor whether the human body takes place to fall down, and gather human physiological data, still through utilizing bluetooth module and bluetooth basic station location human region in local space, will take place to fall down the instruction, human physiological data and regional sending in local space give remote equipment, be convenient for remote monitoring personnel to know human fall down state, human physiological data and the region in local space, so that deal with the human state of falling down.
Example 1
Please refer to fig. 1, which is a schematic diagram of a wearable fall monitoring system according to embodiment 1 of the present application, wherein the wearable fall monitoring system 1 includes: a plurality of bluetooth base stations 101, a wearable fall monitoring device 102 and a remote device 103 disposed in a local space 100. The remote device 103 communicates with the wearable fall monitoring device 102 to send and receive information.
In the present embodiment, the position of the wearer in the local space 100 is located based on bluetooth location technology. Wearable fall monitoring facilities 102 has the bluetooth unit, and bluetooth base station 101 broadcasts bluetooth signal, and bluetooth signal includes information such as base station ID and signal strength indicator (RSSI). Based on the signal strength indication and the location of the bluetooth base station. The positioning algorithm can be referred to the related art, and is not described herein.
In some embodiments, local space 100 is a home residence that includes multiple areas, such as, but not limited to, one or more bedrooms, living rooms, gardens, hallways, and the like. The household dwelling may be one or more storied buildings. The plurality of bluetooth base stations 101 are deployed in the home so that the wearable fall monitoring device 102 locates the area in the local space 100 of the wearer of the wearable fall monitoring device 102 based on bluetooth signals of at least some of the plurality of bluetooth base stations 101. In some embodiments, the household residence is an indoor space. In other embodiments, the home residence includes an indoor space and an outdoor space, the outdoor space having private attributes. In some embodiments, the remote device 103 is a mobile terminal such as a smartphone, a laptop computer, or the like.
In some embodiments, the local space 100 is a care community such as an aged care home, which may include multiple areas. One or more wearers may move in at least some of the plurality of zones. The plurality of bluetooth base stations 101 are deployed in a care community such that the wearable fall monitoring device 102 locates the area of the wearer of the wearable fall monitoring device 102 in the local space 100 based on bluetooth signals of at least some of the plurality of bluetooth base stations 101. In some embodiments, the care community is an indoor space. In other embodiments, the care community includes an indoor space and an outdoor space. Optionally, the care community has closed attributes. In certain embodiments, the remote device 103 is a computing center, such as a monitoring platform, that includes a server and a client.
In some embodiments, the local space 100 may also be a business place, and the like, which is not described in detail in this embodiment.
In some embodiments, please refer to fig. 2, which is a schematic diagram of a hardware structure of an implementation manner of the wearable monitoring device 102 according to an embodiment of the present application, where the wearable tumble monitoring device 102 may include: RF (Radio Frequency) unit 1021, sensor 1022, bluetooth unit 1023, memory 1024, processor 1025, and power source 1026. In some embodiments, it may further include: a display unit for displaying information input by a user or information provided to the user; an A/V input unit for receiving an audio or video signal; a WiFi module by which it can communicate with a remote device 103 or the like.
Those skilled in the art will appreciate that wearable monitoring device 102 may include more or fewer components than described above, or some components in combination, or a different arrangement of components.
Referring to fig. 2, the rf unit 1021 may communicate with a network and other devices through wireless communication, and specifically may include: communicating with the remote device 103 in the network system by wireless communication, for example, transmitting a message to the remote device 103 or receiving a message transmitted by the remote device 103; and communicates with a server (not shown) in the network system. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (frequency Division duplex-Long Term Evolution), and TDD-LTE (Time Division duplex-Long Term Evolution).
In this embodiment, the wearable fall monitoring device 102 includes at least one sensor 1022. In the present embodiment, the sensor 1022 includes: an inertial sensor 10221 for detecting wearer attitude data; the physiological data acquisition module 10222 is configured to acquire physiological data of the wearer.
In certain embodiments, inertial sensor 10221 includes: an accelerometer for detecting an acceleration vector magnitude of a wearer; and the gyroscope is used for detecting the attitude angle of the wearer.
In certain embodiments, the physiological data acquisition module 10222 includes at least one or any combination of: a blood pressure detection module for measuring the blood pressure of the wearer in a non-invasive manner by an oscillation method; the body temperature detection module is used for measuring the body temperature of a wearer; a single lead electrocardiogram sensor for measuring the heart rate of the wearer; and the breath detection module is used for measuring the breath sign parameters of the wearer through the piezoelectric sensor.
In some embodiments, in the body temperature detection module, a metal foil capable of being in close contact with the skin is arranged in the sensor for measuring the body temperature, when the body temperature changes, the resistance value of the metal foil changes, and then a measurement method of proportional operation is adopted to reduce interference caused by surrounding noise. The body temperature detection module may be an AD7783 integrated chip, and a programmable amplifier and a digital filter are mounted on the chip, and the chip is suitable for measuring a low-frequency signal.
In some embodiments, the respiration detection module measures the respiration sign parameter by a piezoelectric sensor. The contraction and the relaxation caused by the respiration of the human body can change the shape of the dielectric medium of the piezoelectric sensor to a certain degree, so that the distribution state of the internal charges of the piezoelectric sensor is changed, the internal charges are positively and negatively transferred, and finally, a potential difference is formed, and the formed potential difference is in direct proportion to the pressure and the tension generated by the respiration of the human body, and the respiration sign parameters of the human body are detected by utilizing the principle.
In some embodiments, the heart rate detection adopts a simple and convenient single-lead electrocardiogram measurement mode with low power consumption and high accuracy, and an electrocardiogram signal waveform obtained from an electrocardiogram electrode is obtained through a buffer circuit, a preamplifier circuit and a filter circuit.
The processor 1025 is a control center for wearing the fall monitoring device, connects each part of the whole wearing fall monitoring device by various interfaces and lines, and executes various functions and processing data of the wearing fall monitoring device by operating or executing software programs and/or modules stored in the memory 1024 and calling data stored in the memory 1024, thereby integrally monitoring the wearing fall monitoring device. Processor 1025 may include one or more processing units; preferably, the processor 1025 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1025.
Referring to fig. 3, which is a block diagram of a computer program module, as shown in fig. 3, the computer program module stored in the memory 1024 includes: a positioning module 10, a posture detection module 20 and a monitoring module 30.
In this embodiment, the positioning module 10 is configured to receive bluetooth signals of at least some of the plurality of bluetooth base stations 101 through the bluetooth unit 1023, and position the area of the wearer in the local space 100 based on the received bluetooth signals.
The bluetooth base station 101 broadcasts a packet to the surroundings at regular intervals. When the wearable tumble monitoring device 102 enters the signal coverage range of the bluetooth base station 101, the wearable tumble monitoring device 102 may receive the data packet broadcasted by the bluetooth base station at intervals when executing the scanning action. When the wearable tumble monitoring device 102 receives a broadcast packet, it indicates that the broadcast packet is from the base station ID and signal strength indication (RSSI) of the bluetooth base station. The signal strength indication is the basis for determining the distance between the wearable tumble monitoring device 102 and the bluetooth base station. The location module 10 locates the area in the local space 100 where the fall monitoring device 102 is worn by a location algorithm and interacting with a map engine database.
And the posture detection module 20 is used for detecting 10221 posture data of the wearer through the inertial sensor and determining whether the wearer falls or not based on the posture data. Because the normal movement of the human body is obviously different from the change of the waist when the human body falls down, the accelerometer is placed between the waist, a space coordinate system is established by the accelerometer, the direction of the Z axis is defined to be vertical upward, the X axis and the Y axis are defined to be horizontal directions, the attitude detection module 20 measures and calculates an acceleration vector amplitude (SVM), the three-axis acceleration sensor can directly measure the acceleration az in the vertical direction and the acceleration a in the horizontal directionxAnd ayAmplitude of acceleration vector
When the old man does not fall down, the trunk of the old man keeps upright, the acceleration in the x-axis direction and the y-axis direction is 0, the z-axis direction is-g, the acceleration in the three directions changes in the moment of falling down, the change in the z-axis direction is most obvious, after falling down, the old man lies on a horizontal plane, the acceleration in the z-axis direction is 0, and the acceleration in the x-axis direction and the y-axis direction is larger. The gyroscope is used for measuring the attitude angle of the human body, the attitude angle of the human body is defined as the included angle between the human body and the ground in the vertical direction in the motion process, the old man is in the vertical state at the beginning, the gyroscope is in the vertical state with the horizontal plane, the attitude angle of the human body is defined as 0 degree at the moment, and when the old man falls down, the attitude angle of the human body can be instantly changed into the posture angle of the human bodyThe space becomes larger, and the posture angle of the human body after the human body is fallen is close to 90 degrees. And the posture detection module 20 is used for determining whether the human body falls down or not based on the acceleration vector amplitude and the posture angle.
In the present embodiment, the posture detection module 20 may use an algorithm in the related art to determine whether a fall occurs, which is not limited in the present embodiment.
A monitoring module 30, configured to send a monitoring message to be received at the remote device 103 when the posture detection module 20 determines that the wearer falls, wherein the information carried by the monitoring message includes: an indication of a fall, a region of the wearer in a local space, and physiological data of the wearer. So that the remote device 103 knows that the wearer has fallen and knows the physiological condition of the wearer, as well as the location of the fall.
Example 2
Please refer to fig. 4, which is a schematic diagram of a wearable fall monitoring system according to embodiment 2 of the present application, in which compared with fig. 1, the wearable fall monitoring system 1 further includes: a location server 104. In some embodiments, the location server 104 may be in communication with the wearable fall monitoring device 102. In other embodiments, the wearable fall monitoring device 102 sends the base station ID and signal strength indication obtained by its bluetooth unit 1023 to the relay device, which sends the base station ID and signal strength indication obtained by the bluetooth unit 1023 to the location server 104.
In this embodiment, the location server 104 is configured to receive a base station ID and a signal strength indication (RSSI) from the bluetooth unit 1023, determine a local space corresponding to the base station ID based on the correspondence between the base station ID and the local space, and determine an area of the wearer in the local space 100 based on the signal strength indication; and providing the wearable fall monitoring device 102 and the remote terminal 203 with the area of the wearer in the local space 100.
For other parts in this embodiment, reference is made to the description of embodiment 1, which is not repeated herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A wearable fall monitoring device, comprising:
the bluetooth module is used for receiving bluetooth signals sent by a plurality of bluetooth base stations arranged in a local space, wherein the bluetooth signals comprise: base station ID and signal strength indication RSSI;
an inertial sensor for detecting attitude data of the wearer;
the physiological data acquisition module is used for acquiring the physiological data of the wearer;
a wireless communication module;
a memory, a processor, and computer program modules stored on the memory and executable on the processor, the computer program modules comprising:
a positioning module for receiving the Bluetooth signal through the Bluetooth module and positioning the area of the wearer in the local space based on the received Bluetooth signal;
the posture detection module is used for detecting the posture data of the wearer through the inertial sensor and determining whether the wearer falls down or not based on the posture data;
a monitoring module, configured to send a monitoring message through the wireless communication module to be received at a remote device when the posture detection module determines that the wearer falls, wherein information carried by the monitoring message includes: an indication of a fall, a region of the wearer in the local space, and physiological data of the wearer.
2. The wearable fall monitoring device of claim 1, configured to be worn about the waist of a human.
3. The wearable fall monitoring apparatus according to claim 1 or 2, wherein the inertial sensor comprises: an accelerometer to detect an acceleration vector magnitude of the wearer; a gyroscope for detecting a posture angle of the wearer; wherein the posture monitoring module is configured to determine whether the wearer has fallen based on the acceleration vector magnitude and the posture angle.
4. The wearable fall monitoring device of claim 1 or 2, wherein the physiological data acquisition module comprises at least one of or any combination of: a blood pressure detection module for non-invasively measuring the blood pressure of the wearer by an oscillation method; the body temperature detection module is used for measuring the body temperature of the wearer; a single lead electrocardiogram sensor for measuring the heart rate of the wearer; and the breath detection module is used for measuring the breath sign parameters of the wearer through the piezoelectric sensor.
5. The wearable fall monitoring device according to claim 1 or 2, wherein the wireless communication module is a mobile communication module.
6. A wearable fall monitoring system, comprising: a plurality of Bluetooth base stations, a positioning server, a wearable tumble monitoring device and a remote terminal which are arranged in a local space, wherein,
wearable tumble monitoring facilities includes:
the bluetooth module is used for receiving bluetooth signals sent by a plurality of bluetooth base stations arranged in a local space, wherein the bluetooth signals comprise: base station ID and signal strength indication RSSI;
an inertial sensor for detecting attitude data of the wearer;
the physiological data acquisition module is used for acquiring the physiological data of the wearer;
a wireless communication module;
a memory, a processor, and computer program modules stored on the memory and executable on the processor, the computer program modules comprising:
the posture detection module is used for detecting the posture data of the wearer through the inertial sensor and determining whether the wearer falls down or not based on the posture data;
a monitoring module, configured to send a monitoring message through the wireless communication module to be received at the remote device when the posture detection module determines that the wearer falls, wherein the information carried by the monitoring message includes: an indication of a fall, a region of the wearer in the local space, and physiological data of the wearer;
the positioning server is used for receiving the base station ID and the signal strength indication from the Bluetooth module, determining a local space corresponding to the base station ID based on the corresponding relation between the base station ID and the local space, and determining the area of the wearer in the local space based on the signal strength indication; and providing the wearable fall monitoring device and the remote terminal with a region of the wearer in the local space;
the remote terminal is used for receiving and displaying the indication of falling, the area of the wearer in the local space and the physiological data of the wearer.
7. The wearable fall monitoring system of claim 6, wherein the wearable fall monitoring device is adapted to be worn about the waist of a human.
8. The wearable fall monitoring system of claim 6 or 7, wherein the inertial sensor comprises: an accelerometer to detect an acceleration vector magnitude of the wearer; a gyroscope for detecting a posture angle of the wearer; wherein the posture monitoring module is configured to determine whether the wearer has fallen based on the acceleration vector magnitude and the posture angle.
9. The wearable fall monitoring system of claim 6 or 7, wherein the physiological data acquisition module comprises at least one of or any combination of: a blood pressure detection module for non-invasively measuring the blood pressure of the wearer by an oscillation method; the body temperature detection module is used for measuring the body temperature of the wearer; a single lead electrocardiogram sensor for measuring the heart rate of the wearer; and the breath detection module is used for measuring the breath sign parameters of the wearer through the piezoelectric sensor.
10. The wearable fall monitoring system according to claim 6 or 7, wherein the wireless communication module is a mobile communication module.
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