CN210630726U - A shoe-pad for health monitoring - Google Patents

Abstract

The utility model relates to an insole for health monitoring includes detachable surface course and bearing at least the bottom of surface course, the insole is at least still including the sensor unit, analysis unit, data storage unit, the execution unit and the wireless charging unit of establishing ties the electricity in proper order, wireless charging unit respectively with the sensor unit analysis unit with the data storage unit electricity is connected, the sensor unit is at least including installing the first sensor of surface course, installing the second sensor and the amplification module of bottom, amplification module respectively with first sensor and second sensor electricity are connected, the execution unit passes through wireless mode and is connected with intelligent terminal, intelligent terminal is connected with long-range high in the clouds service platform through wireless and/or wired mode. The utility model discloses can monitor user's healthy and recovered motion condition with non-invasive method in time.

Description

A shoe-pad for health monitoring

Technical Field

The utility model relates to a health monitoring equipment technical field especially relates to an insole for health monitoring.

Background

At present, the functions of the insole used for health monitoring are basically limited to the services of measurement of human health indexes such as temperature, humidity, weight, pulse and the like, heating and dehumidification, gait detection, simple alarm and the like. However, investigations have shown that: in the 21 st century, the aging process of China is gradually accelerated, the probability of middle-aged and elderly people suffering from stroke, dementia, osteoporosis and other senile diseases is increased day by day, and the number of the elderly people needing rehabilitation training is increased continuously. However, more than 50% of the elderly have unsupervised postoperative rehabilitation training or wrong physiotherapy mode, and if the elderly are treated in hospitals or physiotherapy places for a long time, the rehabilitation cost is high, and the medical resources are limited. Along with the development of wearable technology, be applied to the recovered field of postoperative with it, not only can make the recovered training mode of postoperative progressively remove, convenient, high-efficient, still can improve medical resource utilization ratio, improve patient's recovered effect, practice thrift recovered expense for patient. Currently, related researchers try to monitor and guide postoperative rehabilitation training of patients by detecting and feeding back motion information of the patients through wearable devices.

Chinese patent (publication number is CN206776866U) discloses a fatigue early warning shoe-pad based on monitoring of human gait, including the shoe-pad body, the shoe-pad body includes shoe-pad and lower shoe-pad, it is provided with the sponge layer to go up between shoe-pad and the lower shoe-pad, it is in the same place to go up shoe-pad, sponge layer and lower shoe-pad laminating, be provided with power module and microprocessor on the sponge layer, power module and microprocessor electricity are connected, be provided with storage module on the microprocessor, the half sole, arch of foot and the heel department on sponge layer all are provided with pressure monitoring module, still set up sweat sensor, alarm module and bluetooth module on the sponge layer, pressure monitoring module, sweat sensor, alarm module and bluetooth module all are connected with microprocessor and power module electricity.

The utility model discloses a human gait condition of monitoring that the shoe-pad can be many-sided, and can carry out tired early warning to the human body to can store the analysis to monitoring data. However, the utility model has the following disadvantages:

1. the utility model discloses a do not provide the receiving module who is used for receiving long-range high in the clouds platform or intelligent terminal propelling movement information, can't accomplish the exchange of data.

2. The utility model discloses a set up the sweat sensor on the sponge layer, result in this sweat sensor not to rectify measurement result with the user contact and do not set up temperature sensor, can't acquire accurate testing result.

3. The utility model discloses a wireless module of charging is not provided, the user's of being not convenient for use.

4. The utility model discloses a do not have built-in amplifier circuit and AD converter, can't be accurate, in time acquire the signal of sensor under the shoe-pad sensor receives the interference condition, be unfavorable for user's health monitoring.

In addition, since the physical condition of the rehabilitation person is weak, it is not possible to ensure that the physical condition of the rehabilitation person can be adapted to the training plan and the training intensity transmitted from the remote medical center. If the training plan and the training intensity sent by the remote medical center exceed the bearable range of the rehabilitation personnel, the rehabilitation effect cannot be achieved, and the additional physical damage can be caused to the rehabilitation personnel. Therefore, it is urgently needed to provide a health monitoring device which can monitor not only daily activities of a user, but also remote rehabilitation training of the user.

For example, in [1] vie peak, Zhang Shijie, Wan Wenlui, et al, the application of wavelet denoising in a sensor compensation system and the realization of DSP [ J ] instrument technology and sensors, 2012(12):89-91, a wavelet denoising method for sensors is disclosed, in the process of compensating sensor errors by a digital filter, accurate input signals play a crucial role in compensation results, and a wavelet dedicated denoising method is provided for the defects of the traditional denoising method. Meanwhile, the wavelet threshold denoising algorithm is realized on DSP hardware by utilizing the high-speed computing capability and the strong processing capability of the DSP, and a foundation is provided for realizing a dynamic compensation digital filter system in the next step.

For example, in the literature [2] Wangzhi, Xuxiao-guang, Hunan, Xiannan, improved pressure signal denoising of wavelet threshold functions is implemented in a DSP system [ J ]. Hill institute of Loyang (5): 24-27. A DSP-based denoising processing method is disclosed. The method is characterized in that the input signals acquired by the pressure sensor are subjected to noise reduction, the quality of the noise reduction effect directly influences the compensation precision of the sensor, a new threshold function is introduced aiming at some defects of the traditional wavelet threshold noise reduction, some defects of the traditional noise reduction method are overcome, the new threshold function is transplanted to a DSP, a program of an improved threshold function is completed by C language, and a group of noise signals are subjected to noise reduction.

For example, Chinese patent document with publication number CN205881451U (published: 2017, 01, 11) discloses an intelligent household denoising device, which comprises a DSP processing unit connected with a primary noise acquisition unit, wherein the DSP processing unit is respectively connected with a secondary noise output unit and a residual noise acquisition unit; noise generated by a primary noise source propagates in space to form a sound field; a reference sensor in the primary noise acquisition unit acquires a primary noise signal and then sends the primary noise signal to a preamplification circuit for signal amplification, the amplified signal sequentially passes through an anti-aliasing filter and an AD conversion module to convert an analog signal into a digital signal and sends the digital signal to a DSP processing unit for self-adaptive noise cancellation processing; the processed signal is amplified through a DA conversion module, a smoothing filter and a power amplifier in sequence and then drives a loudspeaker to emit noise with the same amplitude and opposite phase to the primary noise; the residual noise acquisition unit acquires the residual noise signals after being offset, amplifies and converts the residual signals into digital signals and sends the digital signals to the DSP processing unit for processing; the denoising method has the characteristics of good denoising effect and simple structure.

For example, document [3] the great, the golden Yangtze river, the parallel total comparison sorting algorithm [ J ] based on FPGA, digital technology and application, 2013(10):126-, the comparison result can be obtained only by one clock time, and the comparison result is output in a high level 1 or low level 1 mode.

For example, document [4] ginger wavelet, lady, a design method of a novel low-power asynchronous comparator [ J ] electronics newspaper, 2012,40(8): 1650-. When two data are compared, only the bit-by-bit comparison from the highest bit to the lowest bit is needed, if the first unequal bit appears, the comparison result is generated immediately, the low-power comparator has the characteristics, but most comparators in the prior art do not utilize the characteristics, and all bits on the data are operated, so the power consumption expense is improved, the document designs the comparator by utilizing the statistical characteristics of input data, provides a new method for designing the low-power comparator, reduces redundant operation, designs the low-power asynchronous traveling wave comparator and the early termination asynchronous comparator respectively, the asynchronous traveling wave comparator starts to stop calculating from the first unequal data bit, but transmits the comparison result, redesigns the comparison unit by modifying a truth table, adds a termination judgment circuit, provides the early termination asynchronous comparator, and obtains the comparison result while terminating the comparison operation, power consumption is saved. Two asynchronous comparators with comparative BCL comparators and gated time comparators were implemented in SMC 0.18 micron process, saving power consumption of 87.1%, 84.5%, and 37.5%, 28.6% respectively under random data and data from within LDPC.

For example, chinese patent publication No. CN1092362C (published: 2002, 10/09/h) discloses an array misalignment comparison apparatus for comparing two sets of data strings by shifting a data row by row at a time, including: m rows of comparators, n comparators in each row, thereby forming an nxm array of comparators, wherein each comparator has a first input, a second input, and an output, the first inputs of the comparators in each column being connected together; and each data of the first group of data strings is respectively connected with the first input end, and the second group of data strings is connected with the second input end in a mode of staggering one bit in each row.

For example, chinese patent document with publication number CN100533369C (publication date: 2009, 08, 26) discloses a binary data comparison method applied to a binary comparison circuit, the method including:

(a) receiving all 4 bits of each of the first binary data A3A2A1A0 and the second binary data B3B2B1B 0; and

(b) comparing the first binary data and the second binary data to determine which of the first binary data and the second binary data is larger, and outputting a signal corresponding to a result of the comparison, according to the following formula:

F(A≤B)＝A3′·B3+(A3′+B3)·{A2′·B2+(A2′+B2)·{A1′· B1+(A1′+B1)·(A0′+B0)}}

where A3 'represents the inverted MSB of the first binary data, a 2' represents the inversion of the second bit of the first binary data from the LSB, a1 'represents the inversion of the first bit of the first binary data from the LSB, a 0' represents the inverted LSB of the first binary data, B3 represents the MSB of the second binary data, B2 represents the second bit of the second binary data from the LSB, B1 represents the first bit of the second binary data from the LSB, and B0 represents the LSB of the second binary data.

For example, document [5] liexiaojun, baifu jun, cheng jun, etc. a high-precision anti-interference comparator [ J ] based on a memory, information and computer (theoretical edition), 2017(3):33-35, discloses a comparator which mainly comprises an amplifier and a size adjusting module of an input stage MOS tube, and realizes high precision and high anti-interference capability through adjusting the sensitivity of the amplifier.

For example, the document [6] Yinxing, Hou, Jianjing, et al.2 bit value comparator design method discusses [ J ] education and teaching Forum, 2016(37): 185-. The carnot diagram is a graphical representation of logic functions that may be represented and simplified in digital circuits, and is used to design combinatorial and sequential logic circuits.

For example, document [7] wang junbo.a high precision comparator circuit design applied to a 10-bit SAR ADC [ J ] scientific and technological innovation, 2019(28) discloses a data comparator for comparing multiple data bits.

SUMMERY OF THE UTILITY MODEL

Not enough to prior art exists, the utility model provides an insole for health monitoring includes detachable surface course and bearing at least the bottom of surface course. The insole at least comprises a sensor unit, an analysis unit, a data storage unit, an execution unit and a wireless charging unit which are sequentially connected in series. The wireless charging unit is electrically connected with the sensor unit, the analysis unit and the data storage unit respectively. The sensor unit at least comprises a first sensor arranged on the surface layer, a second sensor arranged on the bottom layer and an amplifying module. The amplification module is electrically connected with the first sensor and the second sensor respectively. The analysis unit is electrically connected with the execution unit. The execution unit is connected with the intelligent terminal in a wireless mode. The intelligent terminal is connected with a remote cloud service platform in a wireless and/or wired mode.

According to a preferred embodiment, the amplification module comprises at least an amplification circuit and an a/D converter. The amplifying circuit is electrically connected with the first sensor and the second sensor respectively. The A/D converter receives the signal of the amplifying circuit and transmits the converted signal to the analyzing unit.

According to a preferred embodiment, the insole further comprises a switch module. The switch module is electrically connected with the wireless charging unit. The switch module receives feedback instruction information of the logic operation module to turn on/off the first sensor and the second sensor.

According to a preferred embodiment, the analysis unit comprises a digital signal processing module and a logical operation module. The digital signal processing module receives the first sensing information of the amplifying module and transmits the processed second sensing information to the logic operation module. The logic operation module transmits feedback instruction information generated by comparing and judging data prestored in the data storage unit to the switch module.

According to a preferred embodiment, the execution unit comprises a signal relay module and a wireless transceiver module for receiving/transmitting information. The signal relay module is electrically connected with the wireless transceiver module. And the logic operation module receives and responds to the instruction information of the intelligent terminal through the signal relay module. And the logic operation module transmits feedback instruction information generated by comparing and judging data prestored in the data storage unit to the switch module and the signal relay module.

According to a preferred embodiment, the execution unit comprises a wireless transceiver module for receiving/transmitting information and a signal relay module. The signal relay module is electrically connected with the wireless transceiver module. And the logic operation module receives the instruction information of the intelligent terminal through the signal relay module. And after responding to the instruction information, the logic operation module generates feedback instruction information through data comparison judgment prestored in the data storage unit. And the logic operation module transmits feedback instruction information to the first sensor, the second sensor and the signal relay module.

According to a preferred embodiment, the data storage unit further comprises a reference database memory and a user memory. And the reference database memory receives data information of the intelligent terminal and/or the cloud service platform through the execution unit. The user memory stores user data through the logic operation module and transmits the user data to the intelligent terminal through the execution unit.

According to a preferred embodiment, the wireless charging unit comprises a lithium battery, a wireless charging receiving coil and a magnet. The magnetite setting is in wireless receiving coil's that charges bottom. The wireless charging receiving coil is electrically connected with the lithium battery.

According to a preferred embodiment, the first sensor is a chemical sensor for measuring the concentration of sweat ions in the user's foot. The chemical sensor is arranged on the upper surface of the surface layer, and the measuring surface of the chemical sensor can be in direct contact with a target to be measured.

According to a preferred embodiment, the second sensor comprises at least one or more of a pressure sensor, a humidity sensor, a sound sensor, a three-axis acceleration sensor, a three-axis gyroscope, a position sensor.

According to a preferred embodiment, the sensor unit further comprises a temperature sensor integrated in the housing of the first sensor or arranged adjacent to the first sensor to correct the measurement of the first sensor.

The utility model has the advantages that:

1. the utility model provides an insole for health monitoring is provided with the amplification module to through the connection structure who improves sensor unit, analysis unit and execution unit, can monitor user healthy comprehensively, accurately and in time under the condition that the signal is disturbed.

2. The utility model provides a shoe pad which is provided with a wireless charging unit, has the design without an electrified contact point, has no exposed power transmission element and a charging mode without wire connection, can avoid the danger of electric shock of a human body, avoid the erosion of the power element by water and gas, avoid the mechanical abrasion of a joint and avoid the trouble of mutually winding a plurality of cables; in addition, the magnet is arranged in the wireless charging unit, and the insole can be quickly and accurately connected with the charging device, so that the use of a user is facilitated.

3. The utility model provides a shoe-pad is equipped with switch module, can be selective open/close first sensor and/or second sensor, can practice thrift electric quantity and required supply voltage littleer, reduce the potential danger that the electric leakage caused.

Drawings

FIG. 1 is a schematic diagram of a preferred logic block of the present invention;

FIG. 2 is a schematic view of a preferred embodiment of the graphical indicator shown on the insole of the present invention; and

fig. 3 is a schematic view of the foot skeleton of the present invention.

List of reference numerals

10: the intelligent insole 20: the intelligent terminal 30: cloud service platform

101: sensor unit 101 a: first sensor 101 b: second sensor

101 c: the amplification module 102: the analyzing unit 102 a: digital signal processing module

102 b: the logic operation module 103: data storage unit 103 a: reference database memory

103 b: the user memory 104: the execution unit 104 a: signal relay module

104 b: the wireless transceiver module 105: the wireless charging unit 106: switch module

201: graphical indicator 202: first end 501: phalanx region 1

502: phalanx regions 2-5 503: metatarsal region 1 504: area of metatarsal bone 2

505: 3 rd metatarsal region 506: 4-metatarsal region 507: area of the 5 th metatarsal

508: arch region 509: heel area

Detailed Description

In the description of the present invention, it is also to be understood that the terms "first", "second", and the like, if any, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, the terms "plurality" or "a plurality", if any, mean two or more unless specifically limited otherwise. The following detailed description is made with reference to the accompanying drawings.

Example 1

The utility model provides an insole for health monitoring, at least, include the bottom of detachable surface course and bearing surface course. Fig. 1 shows a schematic diagram of a logic module according to the present invention.

According to a preferred embodiment, the insole 10 comprises at least a sensor unit, an analysis unit, a data storage unit, an execution unit and a wireless charging unit, which are connected in series in this order. The wireless charging unit is respectively and electrically connected with the sensor unit, the analysis unit and the data storage unit. The sensor unit at least comprises a first sensor arranged on the surface layer, a second sensor arranged on the bottom layer of the insole and an amplifying module. The amplifying module is electrically connected with the first sensor and the second sensor respectively. The analysis unit is electrically connected with the execution unit. The execution unit is connected with the intelligent terminal in a wireless mode. The intelligent terminal is connected with the remote cloud service platform in a wireless and/or wired mode.

Preferably, the smart terminal 20 may be a mobile device such as a mobile phone, a tablet computer, a notebook computer, etc. The intelligent terminal 20 may be used to enable personal account login for the user, information entry for the user, and control of the rehabilitation system by the user. The entered user information includes, but is not limited to, personal information such as gender, age, height, hobbies, disease history of the user, and information such as rehabilitation needs of the user, doctor recommendations, and the like. Preferably, the smart terminal 20 is further configured to display data of the rehabilitation program, so that the user can complete corresponding actions based on the displayed data. The intelligent terminal 20 may be connected to the cloud service platform 30 through WIFI and/or a network cable, so as to feed back the monitoring information collected by the insole 10 to the cloud service platform 30. Preferably, the smart terminal 20 may upload and download rehabilitation data in addition to receiving and transmitting data. For example, the user may occasionally need to pause rehabilitation training, and the smart terminal 20 may record the existing rehabilitation progress and upload the rehabilitation project data files to the cloud service platform 30. When the user needs to continue the rehabilitation training, the rehabilitation project data file can be downloaded from the cloud service platform 30. Thus, the user can be free from time limitation when performing rehabilitation training. Preferably, the cloud service platform 30 may be one or more of a cloud server, a server, an ultra-micro server, and a station group server. Preferably, the server may be an x86 server.

According to a preferred embodiment, the amplification module 101c comprises at least an amplification circuit and an a/D converter. The amplifying circuit is electrically connected with the first sensor and the second sensor respectively. The A/D converter receives the signal of the amplifying circuit and transmits the converted signal to the analyzing unit. Preferably, the amplifying circuit employs a measurement amplifying circuit to amplify the weak electrical signals output by the first sensor 101a and the second sensor 101 b. Preferably, the measurement amplifying circuit can also be an integrated amplifier, such as DIN3 SYU/A-P-O series integrated amplifier, which has ultra-thin volume and can be arranged inside the insole. Preferably, the a/D converter is used to convert the analog signal output from the amplifying circuit into a digital signal, and may be of an integrating type, a successive comparison type, a parallel comparison type, a serial comparison type, and a voltage-frequency conversion type. Preferably, the A/D converter is an ADS7044 successive approximation type analog-to-digital converter, and the device is tiny in size, low in power consumption and very suitable for being installed inside a space-limited insole.

According to a preferred embodiment, insole 10 further comprises a switch module 106. The switch module 106 is electrically connected to the wireless charging unit 105. The switch module 106 receives feedback command information of the logic operation module 102b to turn on/off the first sensor 101a and the second sensor 101 b. Preferably, the switch module 106 may be a triode switch circuit or a digital switch chip. Preferably, the switch module 106 is an analog switch employing field effect transistors, for example, dielectric isolation cmos switches of AD7510, AD7511, and AD 7512.

According to a preferred embodiment, the analysis unit 102 comprises a digital signal processing module 102a and a logical operation module 102 b. The digital signal processing module 102a receives the first sensing information of the amplifying module 101c, and transmits the processed second sensing information to the logic operation module 102 b. The logic operation module 102b transmits feedback instruction information generated by a comparison decision with data prestored in the data storage unit 103 to the switch module 106. Preferably, the digital signal processing module 102a has filtering, converting and calculating functions, and can extract the sensing data. Preferably, the signal processing module 102a may be a 16-bit fixed-point DSP chip or a 32-bit floating-point DSP chip, for example, a TMS320VC540XX series 16-bit fixed-point DSP product. Preferably, the logic operation module 102b has functions of multiple sets of arithmetic operations and logic operations, and can be an integrated circuit, a microprocessor, a fixed logic chip, and a programmable logic chip. Preferably, the logic operation module 102b may be a programmable logic chip, for example, a EP2C5T144C8N programmable logic chip.

According to a preferred embodiment, the execution unit 104 comprises a wireless transceiver module 104b for receiving/transmitting information and a signal relay module 104 a. The signal relay module 104a is electrically connected with the wireless transceiver module 104 b. The logic operation module 102b receives and responds to the instruction information of the intelligent terminal 20 through the signal relay module 104 a. The logic operation module 104a transmits feedback instruction information generated by comparing and judging with data prestored in the data storage unit 103 to the switch module 106 and the signal relay module 104 a. The signal relay module 104a may preferably switch circuits on and off, and may also amplify, synthesize, and control signals, such as electromagnetic relays, inductive relays, and thermal relays. Preferably, the signal relay module 104a may be a HFD4 subminiature signal relay. Preferably, the wireless transceiver module 104b can transmit/receive data wirelessly and can stably and reliably transmit data over a short distance, such as a bluetooth wireless transceiver module, a 2.4G wireless transceiver module, and a ZIGBEE wireless transceiver module. Preferably, the transceiver module 104b is a long-distance low-power high-speed transceiver module supporting bluetooth 5.0 protocol, for example, a BLE 5.0 ultra-small data transmission module.

According to a preferred embodiment, the data storage unit 103 further comprises a reference database memory 103a and a user memory 103 b. The reference database memory 103a receives data information of the intelligent terminal 20 and/or the cloud service platform 30 through the execution unit 104. The user memory 103b stores user data through the logic operation module 102b and transmits the user data to the smart terminal 20 through the execution unit 104. Preferably, the reference database memory 103a and the user memory 103b are capable of storing data that can be read and written, for example, NOR type flash memory and NAND type flash memory. Preferably, the reference database memory 103a and the user memory 103b may be NAND type flash memory of model K9F5608U0C-PCB 0.

According to a preferred embodiment, the wireless charging unit 105 includes a lithium battery, a wireless charging receiving coil, and a magnet. The magnetite setting is in wireless receiving coil's that charges bottom. The wireless charging receiving coil is electrically connected with the lithium battery. Preferably, the lithium battery is rechargeable and small, such as a rechargeable polymer lithium battery model number PATL 350829. Preferably, the wireless charging receiving coil is detachably arranged at the bottom end of the lithium battery. Preferably, the opening and detaching mode is a buckle or a magic tape. Preferably, the wireless charging receiving coil is a three-coil receiving coil, and the WPC QI protocol is adopted. Preferably, the magnet is used for fixing the insole 10 and the wireless charging base.

According to a preferred embodiment, the first sensor 101a is a chemical sensor for measuring the concentration of sweat ions in the user's foot. The chemical sensor is arranged on the upper surface of the surface layer, and the measuring surface of the chemical sensor can be in direct contact with the target to be measured.

According to a preferred embodiment, the sensor unit 101 further comprises a temperature sensor integrated in the housing of the first sensor 101a or arranged adjacent to the first sensor 101a to correct the measurement of the first sensor 101 a.

Preferably, the first sensor 101a may be an ISFET-based chemical sensor, for example, an ISFET-based chemical sensor that detects a change in ion concentration, as disclosed in chinese patent (CN 103210307A). Preferably, a temperature sensor is provided in a pair with the first sensor 101a to measure ion concentration data while recording the temperature at the time of the ion concentration measurement and to correct for the effect of temperature on the ion concentration data determined by the ISFET. The temperature sensor may also be used to measure the skin surface temperature of the user and take the measurement as one of the physiological indicators. Preferably, instead of temperature correction, the present invention may also integrate a heating element within the first sensor 101a to maintain the ISFET at a constant temperature. The ISFET is maintained at or slightly above body temperature, which is subject to user comfort, for example, by a heating element.

According to a preferred embodiment, the second sensor 101b comprises at least one or more of a pressure sensor, a humidity sensor, a sound sensor, a heart rate sensor, a pulse sensor, a three-axis acceleration sensor, a three-axis gyroscope. Preferably, the kind of the second sensor 101b is not limited thereto, but may be the remaining sensors. Preferably, the pressure sensor is a membrane pressure sensor, for example, the most recently marketed A401 membrane pressure sensor. Preferably, the humidity sensor may be a temperature and humidity sensor, such as a temperature and humidity sensor model SQHTO 3. Preferably, a Sound sensor is used to detect and record the user's voice, for example a Sound Detector analog Sound sensor. Preferably, a three-axis acceleration sensor may be used to monitor gait information of the user's movement or training, for example, a small three-axis acceleration sensor model HAAM-313B. Preferably, a three-axis gyroscope may be used to assist in the positioning of the smart terminal 20, such as a miniature three-axis gyroscope model L3GD20 HTR.

Preferably, each of the second sensors 101b is connected to the amplifying circuit module 101c and transmitted to the analyzing unit 102 for data processing. Due to the influence of the interference signal, the signals of partial sensors are abnormal, and after the acquired signals are amplified by the amplifying circuit, the acquired signals are beneficial to comparing whether obvious difference exists between the acquired signals and normal signals, so that whether the abnormal condition occurs to a user is accurately and timely judged.

Preferably, the cloud service platform 30 completes matching of at least one rehabilitation item based on the personal basic data, the health data, the historical rehabilitation data, the rehabilitation plan and a preset matching scheme of the user. The cloud service platform 30 sends the matched identification instruction of the rehabilitation project to the intelligent insole 10 through the intelligent terminal 20. Insole 10, upon receiving the identification instruction, selectively turns on first sensor 101a and second sensor 101b based on motion data and/or somatosensory data that the rehabilitation program is capable of producing and effects a pre-trigger of the rehabilitation program to initiate the rehabilitation program based on an analysis of data collected by one sensor 101a and second sensor 101 b. Cloud service platform 30 sends the rehabilitation program to intelligent terminal 20 for display based on the successful start of the rehabilitation program by insole 10. The insole 10 collects first data and second data of a user in the process of completing a rehabilitation training program and calculates the first rehabilitation data and the second rehabilitation data of the user based on the first data and the second data, so that the rehabilitation training process of the user is monitored to assist the rehabilitation training of the user. Insole 10 calculates the physical ability loss value of the user based on the data collected by first sensor 101a and second sensor 101b and realizes pre-triggering of rehabilitation items through judgment of the physical ability loss value. Preferably, the analysis unit 102 compares the received first data and/or second data with the pre-stored first data and/or second data, calculates a physical ability loss value of the current action of the user by combining the physical ability loss values of the pre-stored first data and/or second data, judges the calculated physical ability loss value to determine whether the user is suitable for the rehabilitation training intensity, and triggers the rehabilitation program when the user is suitable for the rehabilitation training intensity. Otherwise, the user cannot start the current rehabilitation program if the pre-trigger fails. Preferably, the intelligent insole 10 also achieves pre-triggering of the rehabilitation program by comparing the data collected by the first sensor 101a and the second sensor 101b with a standard database obtained through statistical analysis. More preferably, the analysis unit 102 compares the received first data and/or second data with the pre-stored first data and/or second data, so as to determine whether the current action and/or physiological indicator of the user meets the requirement. And triggering the rehabilitation project when the action of the user meets the requirement and the physiological index also meets the requirement. Otherwise, the user cannot start the current rehabilitation program if the pre-trigger fails.

Preferably, the analysis unit 102 monitors the first data and analyzes the first data within a first threshold to derive the first rehabilitation data. The analysis unit 102 also selectively turns on the second sensor 101b according to a predetermined manner based on the degree to which the first rehabilitation data exceeds the third threshold and collects second data at the time of rehabilitation training based on the turned-on second sensor 101 b. The analysis unit 102 monitors a plurality of second data and counts the number of times the maximum rate of change in the second data exceeds a second threshold to derive second rehabilitation data. Preferably, the first threshold is 1.1 times the range of sweat components in a user's normal physiological state. When the first data exceeds 1.1 times of sweat component range of the user in normal physiological state, residue accumulation is indicated, and the intelligent insole needs to be cleaned. Preferably, the second threshold value is 2-6% of the second data, and by setting the second threshold value, slight changes of the second data caused by actions of slightly moving hands and feet of the user can be filtered out, wherein the slight changes are difficult to avoid in the rehabilitation training process of the user and cannot reflect the rehabilitation data of the user. The second data exceeds the second threshold value, which represents that the physiological condition of the user or the pressure on the rehabilitation part has large change, and the second data needs to be recorded to obtain second rehabilitation data. Preferably, the analysis unit 102 sends the first and second rehabilitation data derived based on the first and second data to the execution unit 104. The execution unit 104 obtains a feedback scheme during the user rehabilitation training based on the comparison result between the first rehabilitation data and the second rehabilitation data and the first reference value and the second reference value stored in the data storage unit 103, and feeds the feedback scheme back to the remote cloud service platform 30 through the intelligent terminal 20, so that the cloud service platform 30 can adjust the rehabilitation training content towards the direction beneficial to the user rehabilitation based on the feedback scheme within the body bearing range of the user. Based on right the utility model discloses the analysis of the first data and the second data that intelligence shoe-pad 10 gathered can realize the control to user's rehabilitation training process, avoids rehabilitation training intensity too big to cause the damage to user's health situation, and the recovered effect that can also avoid rehabilitation intensity undersize to cause simultaneously is not good, and the auxiliary user carries out rehabilitation training. Preferably, the execution unit 104 acquires the first feedback scheme when the first rehabilitation data is greater than or equal to the first reference value and the second rehabilitation data is greater than the second reference value. The first feedback scheme is that the rehabilitation training intensity at the moment is too high, so that the body of the user is easily damaged. At this time, the cloud service platform 30 reduces the rehabilitation training intensity based on the first feedback scheme, for example, shortens the rehabilitation training time, adjusts the rehabilitation training action to a less forceful action, and the like. Similarly, when the first rehabilitation data is greater than or equal to the first reference value and the second rehabilitation data is less than or equal to the second reference value, the execution unit 104 obtains the second feedback scheme. The second feedback scheme is that the rehabilitation training intensity at the moment is within the user bearable range, the rehabilitation effect is good, and the rehabilitation training content does not need to be adjusted. When the first rehabilitation data is smaller than the first reference value and the second rehabilitation data is larger than the second reference value, the execution unit 104 acquires a third feedback scheme. The third feedback scheme is that the rehabilitation training intensity is weak at this time, but the user may have physical discomfort. At this time, the cloud service platform 30 suspends the rehabilitation training and gives a prompt to the user or the guardian thereof based on the third feedback scheme. When the first rehabilitation data is smaller than the first reference value and the second rehabilitation data is smaller than or equal to the second reference value, the execution unit 104 acquires a fourth feedback scheme. The fourth feedback scheme is that the rehabilitation training intensity is weak at the moment, and the physical condition of the user is not abnormal. At this time, the cloud service platform 30 increases the rehabilitation training intensity based on the fourth feedback scheme.

Preferably, the analysis unit 102 can also selectively turn on the second sensor 101b according to a predetermined manner as follows: the analysis unit 102 sets a reference time stamp when the first rehabilitation data exceeds the third threshold and the current time is not in the analysis period, and sets an analysis period of a second preset duration with the time of the reference time stamp as the reference point. The analyzing unit 102 monitors the first data during the analyzing period of the second preset duration and sets an intermediate time stamp when the first data exceeds the third threshold for the first preset duration until the analyzing period of the second preset duration is finished, and the analyzing unit 102 selectively activates the second sensor 101b according to the reference time stamp or the intermediate time stamp.

Preferably, the first data is continuously and stably changed but not instantaneously fluctuated during the rehabilitation training process of the user, and when the first data is continuously maintained for a first preset time period, the user is performing the rehabilitation training and the rehabilitation training is more intensive, and at this time, the second sensor 101b may be selectively activated based on the set reference time mark or the intermediate time mark. More preferably, the first preset time period is a relatively long time, for example, 15 to 30S. The utility model discloses a set up and to predetermine long so that confirm whether the user is because the too big sweat that causes of rehabilitation training intensity.

Preferably, the analysis unit 102 may further calculate the force applied to the rehabilitation region of the user according to a plurality of first data of the reference time mark or the middle time mark, and sequentially and alternately start and stop the second sensor 101b at the rehabilitation region and the second sensor 101b at the non-rehabilitation region according to a preset number of times at a time interval of a third preset duration. Preferably, when the second sensor 101b acquires the second data with the maximum change rate exceeding the second threshold within the preset number of times, the analysis unit 102 stops to start the second sensor 101b again within the analysis period of the second preset duration. When the second sensor 101b does not acquire the second data whose maximum change rate exceeds the second threshold within the preset number of times, the analysis unit 102 repeats the above process when the next intermediate time stamp is set until the second data whose maximum change rate exceeds the second threshold is acquired or the analysis period of the second preset duration is terminated.

Preferably, the present invention selectively turns on only a portion of the second sensors 101b at a time can save more power than turning on all the second sensors 101b simultaneously, and the required supply voltage is also smaller, reducing the potential danger caused by electric leakage; on the other hand, the sensor loss can be reduced. Meanwhile, the utility model discloses switch in turn on and off the second sensor 101b that is in recovered position and the second sensor 101b that is not recovered position, the factor of considering includes but not limited to: the influence of the training intensity on the rehabilitation part of the user is larger than the influence of the training intensity on the non-rehabilitation part, and firstly, only the second sensor 101b on the rehabilitation part is started, so that the energy can be saved, the service frequency of the second sensor 101b is reduced, the service life cycle of the second sensor is prolonged, and potential safety hazards possibly caused by long-term starting of the second sensor 101b can be reduced. However, the health hazard of the rehabilitation part is only one of the situations, and the non-rehabilitation part may be affected due to the excessive training intensity, and the second sensor 101b at the rehabilitation part and the second sensor 101b at the non-rehabilitation part are switched alternately, so that the second data can be acquired comprehensively, and the energy can be saved.

Preferably, insole 10 may also be configured to display the first rehabilitation data and/or the second rehabilitation data on the display of smart terminal 20 in the form of a plurality of graphical indicators 201 when execution unit 104 is data connected to smart terminal 20. Fig. 2 shows a schematic view of a preferred embodiment of the graphical indicator displayed by insole 10 of the present invention. As shown in fig. 2, each graphical indicator 201 is associated with a time interval corresponding thereto. The length of each graphical indicator 201 represents a measure of the first rehabilitation data and/or the second rehabilitation data over the corresponding time interval. The first end 202 of each graphical indicator 201 is positioned to form an arc. Preferably, for each graphical indicator 201, the position on the arc where the first end 202 is located represents the respective time interval associated with the graphical indicator 201. The related conditions in the rehabilitation training process can be visually and quickly checked through the graphical indicator 201, and the time and/or duration of the special conditions can be acquired.

Specifically, taking the data shown in fig. 2 as the second rehabilitation data as an example, in the initial stage of rehabilitation training, the pressure applied to the rehabilitation part of the user and/or the heartbeat, blood pressure, pulse and the like of the user are higher, and the corresponding second rehabilitation data are higher. After a period of rest, the second rehabilitation data is obviously reduced relative to the initial stage, and rehabilitation training is continued, and the second rehabilitation data and the like are mild compared with the initial stage, which indicates that the user can bear the training intensity. As the rehabilitation training time extends, the secondary rehabilitation data rises, indicating that the user may be exhausted at this time, with a relatively large training intensity. After the feedback information is fed back to the cloud service platform 30, the training intensity is adjusted towards the direction of reduction by the cloud service platform 30, and the second rehabilitation data is recovered stably. According to the time when the user starts to perform rehabilitation training, the time when the user performs rehabilitation training to keep the second rehabilitation data stable can be obtained based on the graphic indicator 201. The intelligent insole 10 provides the monitored rehabilitation training process of the user to the remote cloud service platform 30 so as to be used as a reference when a rehabilitation training plan is made for the user in the next stage.

Example 2

This embodiment is a further modification of embodiment 1, and only the modified portion will be described.

According to a preferred embodiment, the first sensor 101a of the present invention is an ISFET based chemical sensing. An ISFET-based chemical sensor includes an ISFET and a reference electrode, wherein the ISFET and the reference electrode are disposed in direct contact with a user's skin. The reference electrode is an Ag/AgCl electrode, an Ag/AgCl plastic composite electrode, an Ag/AgCl gel electrode, an Ag/AgCl electrode or polypyrrole electrode coated with a permeable membrane, and a poly (3, 4-ethylenedioxythiophene) electrode. The reference electrode may also be an Ag/AgCl electrode coated with a permeable membrane and permeated with chloride ions. The permeable membrane is, for example, polyvinyl butyral, polyhydroxyethylmethacrylate or perfluorosulfonic acid polymer. The reference electrode may also be a carbon paste electrode mixed with a mediator. The mediator is, for example, ferrocene or Prussian blue. The reference electrode may also be a noble metal reference electrode and/or a pseudo-reference electrode. The noble metal is, for example, gold or platinum. Preferably, the present invention ISFET-based chemical sensing is used to detect ion concentration in sweat. More preferably, the ion concentrations detected by ISFET-based chemical sensing are primarily sodium ion concentrations and potassium ion concentrations.

According to a preferred embodiment, at least two first sensors 101a are disposed on the surface layer of the insole 10 of the present invention. Preferably, the ISFET of one of the first sensors 101a is arranged to monitor the ion concentration of sweat on the surface of the user's skin, and the ISFET of the other first sensor 101a is arranged to monitor other characteristics than the ion concentration of sweat on the surface of the user's skin, such as the pH of sweat. The pH of sweat is of a magnitude that reflects the skin health indicator of the user, e.g., pH of 6 or greater is an indicator of skin irritation or poor skin health. When the skin health problem possibly exists in the user is analyzed according to the measured pH value information, the user is reminded to prevent the skin health condition from deteriorating through modes of changing cosmetics or adjusting a dietary structure and the like, or the pH value information is uploaded to the cloud service platform 30 through the intelligent terminal 20 to be stored, and data stored on the cloud service platform 30 can be checked by professionals such as doctors or skin care staff in beauty salons, so that reasonable suggestions are provided for the user.

According to a preferred embodiment, the second sensor 101b of the present invention comprises at least a pressure sensor, and the pressure sensor is set according to the stress of the rehabilitation area when the rehabilitation program is completed. For example, a user who needs foot rehabilitation sets the pressure sensor according to the stress of the foot skeleton area when walking. The user who needs to carry out hand rehabilitation sets up pressure sensor according to the hand atress size during the motion. Likewise, the waist, the legs and the back can be provided with pressure sensors according to the stress during movement. Taking the foot as an example, fig. 3 shows a schematic view of the foot skeleton partition of the present invention. As shown in fig. 3, the foot skeleton can be divided into several areas: phalanx 1 area 501, phalanx 2-5 areas 502, metatarsal 1 area 503, metatarsal 2 area 504, metatarsal 3 area 505, metatarsal 4 area 506, metatarsal 5 area 507, arch area 508 and heel area 509.

Because when walking, the foot is the three point atress, and the 1 st metatarsal district 503, the 5 th metatarsal district 507 and the heel district 509 atress are more, consequently, the utility model discloses be provided with 2 ~ 3 pressure sensor respectively in the 1 st metatarsal district 503, the 5 th metatarsal district 507 of shoe-pad 10 and heel district 509 at least. Preferably at least 2 pressure sensors are provided. All the other regional pressure changes less, the utility model discloses 1 phalange district 501, 2 nd ~ 5 phalange district 502, 2 nd metatarsal district 504, 3 rd metatarsal district 505, 4 th metatarsal district 506 and arch of foot district 508 at the intelligent shoe-pad 10 are provided with 1 ~ 2 pressure sensor respectively at most. Preferably, at most 1 pressure sensor is provided. When the user walks, the pressure sensors can sense the contact condition of the foot skeleton area and the ground. The arch region 507 of the insole 10 is further provided with at least 1 three-axis acceleration sensor and three-axis gyroscope. Preferably, the first sensor 101a and the temperature sensor of the present invention are also disposed in the arch region 507.

According to a preferred embodiment, the utility model discloses a first sensor 101a for gathering user's sweat ion concentration and be used for gathering user's action data and body to feel data second sensor 101b except setting up on intelligent shoe-pad 10, still can set up in other intelligent wearing equipment. Preferably, the added intelligent wearable device may have an independent data processing capability, that is, may process data and directly send the processed data to the cloud service platform 30. This can reduce the data processing capacity of the cloud service platform 30. Preferably, the added intelligent wearable device may only have data collection transmission capability, that is, the collected data is transmitted to the cloud service platform 30, and the cloud service platform 30 performs data processing.

For example, a first sensor 101a is disposed on a smart necklace for collecting sweat ion concentration at the neck of a user. The intelligent wearing equipment who adds can be intelligent bracelet, intelligent wrist-watch or the sensing device that specially designed for the motion is taken exercise etc.. Preferably, the smart band is used to record the amplitude and the number of times the user arm swings. The user's timbre, pitch and/or loudness is recorded using a smart watch. Sensing devices specifically designed for athletic exercises include, but are not limited to, sound sensors, temperature sensors, light sensors, and the like. The utility model discloses an athletic system can strengthen the ability of controlling to the sport through combining the use with other intelligent wearing equipment.

It should be noted that the above-mentioned embodiments are exemplary, and those skilled in the art can devise various solutions in light of the present disclosure, which are also within the scope of the present disclosure and fall within the scope of the present disclosure. It should be understood by those skilled in the art that the present specification and drawings are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims (10)

1. An insole for health monitoring at least comprises a detachable surface layer and a bottom layer for supporting the surface layer, and is characterized in that,

the insole (10) at least comprises a sensor unit (101), an analysis unit (102), a data storage unit (103), an execution unit (104) and a wireless charging unit (105) which are sequentially connected in series, wherein,

the wireless charging unit (105) is electrically connected with the sensor unit (101), the analysis unit (102) and the data storage unit (103) respectively,

the sensor unit (101) at least comprises a first sensor (101a) arranged on the surface layer, a second sensor (101b) arranged on the bottom layer and an amplifying module (101c), the amplifying module (101c) is respectively and electrically connected with the first sensor (101a) and the second sensor (101b),

the analysis unit (102) is electrically connected with the execution unit (104), the execution unit (104) is connected with the intelligent terminal (20) in a wireless mode, and the intelligent terminal (20) is connected with the remote cloud service platform (30) in a wireless and/or wired mode.

2. Insole for health monitoring as claimed in claim 1, wherein said amplification module (101c) comprises at least an amplification circuit and an A/D converter, wherein,

the amplifying circuit is electrically connected with the first sensor (101a) and the second sensor (101b), and the A/D converter receives signals of the amplifying circuit and transmits the converted signals to the analysis unit (102).

3. The insole for health monitoring as claimed in claim 2, wherein the insole (10) further comprises a switch module (106), the switch module (106) is electrically connected with the wireless charging unit (105) and receives feedback instruction information of the logic operation module (102b) to turn on/off the second sensor (101b) and/or the first sensor (101 a).

4. Insole for health monitoring as claimed in claim 3, characterized in that said analysis unit (102) comprises a digital signal processing module (102a) and said logic operation module (102b), wherein,

the digital signal processing module (102a) receives the first sensing information of the amplifying module (101c) and transmits the processed second sensing information to the logic operation module (102b), and the logic operation module (102b) transmits feedback instruction information generated by comparing and judging with data prestored in the data storage unit (103) to the switch module (106).

5. Insole for health monitoring as claimed in claim 4, wherein said execution unit (104) comprises a signal relay module (104a) and a wireless transceiver module (104b) for receiving/transmitting information, said signal relay module (104a) and said wireless transceiver module (104b) being electrically connected, wherein,

the logic operation module (102b) receives and responds to the instruction information of the intelligent terminal (20) through the signal relay module (104a), and transmits feedback instruction information generated by comparing and judging data prestored in the data storage unit (103) to the switch module (106) and the signal relay module (104 a).

6. Insole for health monitoring as claimed in claim 5, wherein said data storage unit (103) further comprises a reference database memory (103a) and a user memory (103b), wherein,

the reference database memory (103a) receives data information of the intelligent terminal (20) and/or the cloud service platform (30) through the execution unit (104), and the user memory (103b) stores user data through the logic operation module (102b) and transmits the user data to the intelligent terminal (20) through the execution unit (104).

7. Insole for health monitoring as claimed in claim 1, wherein said wireless charging unit (105) comprises a lithium battery, a wireless charging receiving coil and a magneto, wherein,

the magnetite setting is in wireless receiving coil's that charges bottom, wireless receiving coil and lithium cell electricity of charging are connected.

8. The insole for health monitoring as claimed in claim 1, wherein the first sensor (101a) is a chemical sensor for measuring the concentration of sweat ions in the foot of the user, the chemical sensor being provided on the upper surface of the top layer and having a measuring surface capable of being in direct contact with an object to be measured.

9. The insole for health monitoring as claimed in claim 1, wherein the second sensor (101b) comprises at least one or more of a pressure sensor, a humidity sensor, a sound sensor, a three-axis acceleration sensor, a three-axis gyroscope.

10. Insole for health monitoring as claimed in claim 1, wherein said sensor unit (101) further comprises a temperature sensor integrated in a housing of said first sensor (101a) or arranged adjacent to said first sensor (101a) to correct measurements of said first sensor (101 a).

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