1. A sole health management method based on a cloud computing technology is characterized by comprising the following steps: the method comprises the following steps:

s1, collecting the sole data of the patient by using the wearable device (1);

s2, sole data are transmitted to the smart phone through the low-power Bluetooth for storage, display and uploading to the cloud computing platform;

s3, the remote doctor checks the sole data of the patient in real time through the Web client or the smart phone;

and S4, timely pushing the feedback opinions to the patient.

2. The sole health management method based on the cloud computing technology according to claim 1, wherein: the operation foundation of the method comprises two parts, namely hardware and software, wherein the hardware comprises the wearable device (1), the smart phone and the cloud computing platform, and the software part comprises phone end APP software, Web client software, cloud computing platform application software, cloud computing platform database software and a sole health model.

3. The sole health management method based on the cloud computing technology according to claim 2, wherein: wearable equipment (1) is integrated in cotton socks (2), comprises a plurality of pressure sensor (3), plastics bare fiber sensor (5) and integrated motion sensor's electronic unit (5), wearable equipment (1) is used for gathering human plantar pressure signal, microcirculation blood flow signal, acceleration signal, angular velocity signal to store, handle, show and upload to cloud computing platform through bluetooth low energy with signal transmission to smart mobile phone.

4. The sole health management method based on cloud computing technology according to claim 3, wherein: the electronic unit (5) is integrated with a photoelectric sensor, a motion sensor, an analog switch, an LED light source, an operational amplifier, a power supply management and a microprocessor, and the microprocessor is integrated with a low-power Bluetooth.

5. The sole health management method based on the cloud computing technology according to claim 2, wherein: the smart phone APP mainly comprises a patient end and a medical end: the patient end is mainly used for receiving and displaying plantar pressure, microcirculation blood flow information and ankle acceleration information acquired by the wearable device, uploading acquired plantar health data to the cloud computing server through the mobile internet, and downloading historical data stored on the cloud computing server; the intelligent mobile phone APP doctor end is mainly used for inquiring sole data of a patient and pushing feedback opinions to the patient.

6. The sole health management method based on cloud computing technology according to claim 5, wherein: the intelligent mobile phone APP comprises eight sub-modules, namely a user registration sub-module, a login sub-module, a logout sub-module, a Bluetooth communication sub-module, a graphic display sub-module, a data storage sub-module, a data uploading sub-module, a user information management sub-module and a sole health state evaluation sub-module.

7. The sole health management method based on the cloud computing technology according to claim 2, wherein: the Web client side is mainly divided into a patient side and a doctor side: the Web client side is used for remotely checking the sole information of the patient; the Web client doctor end mainly provides a service for medical care personnel to remotely check the sole information of different patients and can provide treatment measures in time.

8. The sole health management method based on cloud computing technology according to claim 7, wherein: the Web client mainly comprises six sub-modules of user registration, login and logout, data receiving and displaying, data downloading, user data query, user information management and sole health state evaluation.

9. The sole health management method based on the cloud computing technology according to claim 2, wherein: the cloud computing platform mainly provides interfaces for uploading and downloading data for the smart phone APP and the Web client, and stores sole information of a patient on a server; the cloud computing server integrates the sole health model, the sole health state algorithm and the motion state algorithm and is used for automatically judging the sole health state and the motion state of the patient.

10. The sole health management method based on cloud computing technology according to claim 9, wherein: the cloud computing platform can provide interface service for the APP and the Web end at the same time, wherein the cloud computing server data interface is used for receiving sole data uploaded by the APP, and the cloud computing server query interface mainly provides data query service for the Web client.

Background

Diabetic foot is one of the common complications of diabetic patients, and refers to foot infection, ulceration and/or deep tissue destruction associated with abnormalities of the distal nerves and peripheral vasculopathy of the lower extremities. The most common result is chronic ulcer, the most serious result is disability or even amputation, the life quality of the patient is greatly reduced, and great pain and heavy economic burden are brought to the patient.

At present, the research on the prevention of diabetic foot is not common at home and abroad. The existing detection methods such as a nylon wire inspection method, a biological vibration threshold measuring method for measuring vibration sensation, a foot pressure measurement method and the like can not be used as a daily routine inspection method for monitoring and early warning the occurrence of the foot ulcer in real time due to the requirement of hospital inspection, and are easily influenced by the subjective experience of doctors. And often the initial stage of ulceration occurs when the patient is aware of changes in the condition of the soles of the feet. Therefore, how to accurately predict the circulatory system lesion of the sole before the ulcer occurs is a scientific problem to be solved urgently.

With the popularization of intelligent wearing technology, big data and cloud computing technology, the field of mobile health is coming to a rapid development stage. People can monitor related physiological parameters in real time by wearing the wearable intelligent sensor in daily life. The popularization of the cloud computing technology and the healthy internet of things based on the digital medical products makes the remote medical monitoring possible. The patient passes through the internet with physiological signal and conveys the high in the clouds through wearing wearable sensor, and the doctor can call the data in the high in the clouds in real time and judge the patient's state of an illness, proposes the treatment suggestion, has improved treatment effeciency greatly, has reduced the mortality. At present, no method for applying the technology to the health management of the sole exists.

Disclosure of Invention

The invention aims to provide a sole health management method based on a cloud computing technology, so as to solve the problems in the background technology.

In order to solve the technical problems, an object of the present invention is to provide a method for managing health of a sole based on a cloud computing technology, including the following steps:

s1, collecting the sole data of the patient by using the wearable device;

s2, sole data are transmitted to the smart phone through the low-power Bluetooth for storage, display and uploading to the cloud computing platform;

s3, the remote doctor checks the sole data of the patient in real time through the Web client or the smart phone;

and S4, timely pushing the feedback opinions to the patient.

The invention also aims to provide two basic parts of hardware and software for supporting the operation of the method, wherein the hardware comprises the wearable device, the smart phone and the cloud computing platform, and the software part comprises phone end APP software, Web client software, cloud computing platform application software, cloud computing platform database software and a sole health model.

As a further improvement of the technical scheme, the wearable equipment is integrated in the cotton socks and comprises a plurality of pressure sensors, plastic bare fiber sensors and an electronic unit integrated with a motion sensor, and the wearable equipment is used for collecting human plantar pressure signals, microcirculation blood flow signals, acceleration signals and angular velocity signals, sending the signals to the smart phone through the low-power Bluetooth, storing, processing, displaying and uploading the signals to the cloud computing platform.

As a further improvement of the technical scheme, the electronic unit is integrated with a photoelectric sensor, a motion sensor, an analog switch, an LED light source, an operational amplifier, power management and a microprocessor, and the microprocessor is integrated with low-power Bluetooth.

Wherein, wearable device sends patient plantar pressure, microcirculation blood flow signal, acceleration signal and angular velocity signal to patient's cell-phone end through integrated bluetooth low energy communication module.

The wearable device can acquire pressure signals of 8 points of a human sole, plantar microcirculation blood flow signals of 3 points, 3-axis acceleration signals and 3-axis angular velocity signals; the method specifically comprises the following steps: the positions of the wearable device corresponding to the pressure sensors on the sole are 3 calcaneus points, 2 cuboid points, two metatarsal points and 1 distal metatarsal point; the plastic bare fiber sensors used for detecting microcirculation of the wearable equipment are respectively positioned at the far end of the first metatarsus, the middle side of the cuboid and the middle of the calcaneus.

As a further improvement of the technical scheme, the smart phone APP is mainly divided into a patient end and a doctor end: the patient end is mainly used for receiving and displaying plantar pressure, microcirculation blood flow information and ankle acceleration information acquired by the wearable device, uploading acquired plantar health data to the cloud computing server through the mobile internet, and downloading historical data stored on the cloud computing server; the intelligent mobile phone APP doctor end is mainly used for inquiring sole data of a patient and pushing feedback opinions to the patient.

As a further improvement of the technical scheme, the intelligent mobile phone APP comprises eight sub-modules of user registration, login and logout, Bluetooth communication, graphic display, data storage, data uploading, user information management and sole health state evaluation.

The smart phone APP controls the wearable device to acquire and transmit data through the low-power-consumption Bluetooth module, bidirectional communication is achieved through the world wide web and the cloud computing server, data are uploaded or downloaded, and messages are pushed in real time.

As a further improvement of the technical solution, the Web client is mainly divided into a patient end and a doctor end: the Web client side is used for remotely checking the sole information of the patient; the Web client doctor end mainly provides a service for medical care personnel to remotely check the sole information of different patients and can provide treatment measures in time.

As a further improvement of the technical scheme, the Web client mainly comprises six sub-modules of user registration, login and logout, data receiving and displaying, data downloading, user data query, user information management and sole health state evaluation.

As a further improvement of the technical scheme, the cloud computing platform mainly provides interfaces for uploading and downloading data for the smart phone APP and the Web client, and stores sole information of the patient on a server; the cloud computing server integrates the sole health model, the sole health state algorithm and the motion state algorithm and is used for automatically judging the sole health state and the motion state of the patient.

Wherein, the patient or doctor can remotely check or download the plantar information through the APP or Web client.

As a further improvement of the technical scheme, the cloud computing platform can provide interface service for the APP and the Web end at the same time, wherein the cloud computing server data interface is used for receiving sole data uploaded by the APP, and the cloud computing server query interface mainly provides data query service for the Web client.

Specifically, when data is uploaded, the data is uploaded in an array format, each group of data has 8 data, and an array containing 16 × 8 data needs to be uploaded each time; wherein the 1 st data in the 8 data of each group of data is a pressure signal, the 2 nd data is a microcirculation blood flow signal, the 3 rd to 5 th data are acceleration signals, and the 6 th to 8 th data are angular velocity signals.

Specifically, when inquiring data, a doctor can inquire the patient data and the sole health state of a patient by typing in a patient ID and selecting a date mode needing to inquire the data, and the patient data is presented in a Web client in a specific numerical value mode and a real-time waveform mode; the sole health state of a patient in the Web client is divided into two forms of sole health or sole abnormity.

Wherein, the sole information that cloud computing server uploaded APP saves, analyzes, builds sole health model and returns sole health status, and cloud computing server data interface mainly provides data for mobile terminal and Web end and adds and the inquiry function, and its user interface mainly includes: user registration, login, logout, data uploading, data query, user information acquisition, user information modification, password modification and the like.

Specifically, the cloud computing server interface records the user login state by using Cookie and Session, and stores the user basic information and the sole health data by adopting two databases of MySQL and InfluxDB respectively.

The third objective of the present invention is to provide a cloud computing device of a foot sole health management method based on cloud computing technology, which includes a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor is configured to implement any of the steps of the foot sole health management method based on cloud computing technology when executing the computer program.

The fourth objective of the present invention is that the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of any of the above-mentioned methods for managing sole health based on cloud computing technology.

Compared with the prior art, the invention has the beneficial effects that: according to the sole health management method based on the cloud computing technology, sole pressure and microcirculation state indexes are extracted by using intelligent wearable equipment, remote monitoring of sole health is achieved through a smart phone and a cloud computing platform, professional analysis can be conducted on sole health through a model constructed based on a motion state, pressure distribution and capillary vessel refilling time CRT, and therefore the purpose of professional management and remote monitoring of sole health is achieved.

Drawings

Fig. 1 is a schematic diagram of a sole health management method based on a cloud computing platform;

FIG. 2 is a schematic view of a wearable device;

FIG. 3 is a schematic diagram of a sensor layout;

FIG. 4 is a block diagram of an electronic unit of the wearable device;

FIG. 5 is a diagram of a smart phone APP software module;

FIG. 6 is a block diagram of a Web client;

FIG. 7 is a diagram of a cloud computing platform architecture;

FIG. 8 is a database structure diagram;

fig. 9 is a flow chart of a sole health model.

In the figure:

1. a wearable device;

2. cotton socks;

3. a pressure sensor; 31. conductive cotton;

4. a plastic bare fiber sensor; 41. a transmission optical fiber; 42. receiving an optical fiber;

5. an electronic unit.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example 1

As shown in fig. 1 to 9, the present embodiment provides a method for managing sole health based on cloud computing technology, including the following steps:

s1, collecting the sole data of the patient by using the wearable device 1;

s2, sole data are transmitted to the smart phone through the low-power Bluetooth for storage, display and uploading to the cloud computing platform;

s3, the remote doctor checks the sole data of the patient in real time through the Web client or the smart phone;

and S4, timely pushing the feedback opinions to the patient.

The embodiment provides two basic parts of hardware and software supporting the operation of the method, wherein the hardware comprises wearable equipment 1, a smart phone and a cloud computing platform, and the software part comprises mobile phone end APP software, Web client software, cloud computing platform application software, cloud computing platform database software and a sole health model.

As shown in fig. 2-3, in this embodiment, the wearable device 1 is integrated in the cotton sock 2, and is composed of a plurality of pressure sensors 3, a plastic bare fiber sensor 5, and an electronic unit 5 integrated with a motion sensor, and the wearable device 1 is configured to collect a human plantar pressure signal, a microcirculation blood flow signal, an acceleration signal, and an angular velocity signal, and send the signals to the smart phone through bluetooth low energy for storage, processing, display, and upload to the cloud computing platform.

Specifically, the wearable device 1 employs a three-dimensional knitting technology to knit the pressure sensor 3 and the plastic bare fiber sensor 4 into the sock, and the cotton sock 2 is preferably made of pressure cotton, wherein the pressure sensor 3 is electrically connected with the electronic unit 5 through the conductive cotton 31.

Specifically, wearable device 1 sends patient plantar pressure, microcirculation blood flow signal, acceleration signal and angular velocity signal to patient's cell-phone end through integrated bluetooth low energy communication module.

Furthermore, the sole pressure sensor is mainly used for acquiring pressure signals of the sole of the human body, and the invention acquires pressure information of 8 points of the sole of the human body; wherein the positions of the pressure sensors 3 are respectively located: calcaneus 3 points, cuboid 2 points, metatarsal two points, and distal first metatarsal 1 point. The gait of the human body in different motion states, such as standing still, slow walking, normal walking at uniform speed, quick walking, running and the like, can be obtained by analyzing the time domain and the space domain of the pressure of the soles of the human body in different motion states.

Furthermore, the plastic bare fiber sensor 4 is mainly used for acquiring microcirculation blood flow signals of the sole of a human body, which are formed by a transmission fiber 41 and a receiving fiber 42, and the invention acquires the microcirculation blood flow signals of 3 points of the sole of the human body; wherein the positions of the plastic bare fiber sensor 4 are respectively located: distal first metatarsal, medial cuboid and medial calcaneus. Specifically, the transmission optical fiber 41 transmits an optical signal emitted by the LED to the sole, the receiving optical fiber 42 is used for receiving a reflected optical signal of the sole, the reflected optical signal includes a microcirculation blood flow signal of the sole, and the photoelectric sensor converts the reflected optical signal into an electrical signal; under a certain sampling frequency, processing and analyzing the electric signal acquired by the photoelectric sensor and extracting a microcirculation blood flow signal; and calculating the time that the microcirculation blood flow signal in gait decays from the maximum value to the minimum value, namely the capillary vessel refilling time CRT, and taking the time as one of the judgment criteria of the health state of the sole.

Furthermore, the motion sensor is used for acquiring acceleration and angular velocity signals of the ankle of the human body, acquiring thresholds of the acceleration and angular velocity signals of the human body in different motion states, and constructing a motion detection algorithm through the thresholds so as to obtain the motion states of the human body, including standing still, walking at a slow speed, walking at a constant speed and normally, walking at a fast speed, running and the like.

As shown in fig. 4, the electronic unit 5 is integrated with a photoelectric sensor, a motion sensor, an analog switch, an LED light source, an operational amplifier, a power management unit, and a microprocessor, and the microprocessor is integrated with bluetooth low energy.

Further, the electronic unit 5 is configured to process and analyze the sole information acquired by the sensor, and send the acquired sole information to the mobile phone end through the low power consumption bluetooth; the method can be understood that the blood flow value of microcirculation at different points of the sole acquired by the electronic unit 5 is changed, the analysis of a space domain and a time domain is carried out, and a sole health model can be constructed by combining the pressure distribution of the sole and gaits under different motion states.

As shown in fig. 5, the smartphone APP is mainly divided into a patient side and a medical side: the patient end is mainly used for receiving and displaying plantar pressure, microcirculation blood flow information and ankle acceleration information acquired by the wearable device, uploading acquired plantar health data to the cloud computing server through the mobile internet, and downloading historical data stored on the cloud computing server; the intelligent mobile phone APP doctor end is mainly used for inquiring sole data of a patient and pushing feedback opinions to the patient.

Furthermore, the smart phone APP comprises eight sub-modules of user registration, login and logout, Bluetooth communication, graphic display, data storage, data uploading, user information management and sole health state evaluation.

Specifically, the smart phone can communicate with the wearable device through bluetooth low energy, receive, handle, show pressure, 3 point microcirculation blood flows, 3 axle accelerations and 3 axle angular velocity signals of 8 points of sole of gathering to can be through mobile internet with sole information transmission to cloud computing platform who gathers.

Specifically, when the user uses the APP for the first time, registration is needed, and the system can automatically generate an ID number for the patient and the doctor, wherein the ID number is mainly used for identity recognition; wherein, the user needs to fill in the identity information of the user when registering, and the identity information is respectively a patient or a doctor; particularly, information verification is needed when the registered doctor is the doctor, and the registrant can successfully register the registration code provided by the terminal after the verification is passed.

The intelligent mobile phone APP display method comprises the steps that a patient side of an APP of a smart mobile phone displays real-time display of sole information, and a user logs in the APP and can check own sole information and health status in real time; the intelligent mobile phone APP transmits the sole information of the patient to the cloud computing server in real time in a wireless communication mode, and meanwhile the sole information stored in the cloud computing server can be downloaded.

The intelligent mobile phone APP doctor end is mainly used for inquiring the sole information of a patient, the doctor can inquire the sole information of the patient by keying in the ID number of the patient and selecting an inquiry date, and the feedback opinions are pushed to the patient.

As shown in fig. 6, the Web client is mainly divided into a patient end and a doctor end: the Web client side is used for remotely checking the sole information of the patient; the Web client doctor end mainly provides a service for medical care personnel to remotely check the sole information of different patients and can provide treatment measures in time.

It should be noted that the user may log in to the client using the account password registered on the APP.

Furthermore, the Web client mainly comprises six sub-modules of user registration, login and logout, data receiving and displaying, data downloading, user data query, user information management and sole health state evaluation.

Wherein the patient can modify the personal information in the user information management module; the patient can inquire the sole information uploaded by the APP in the data display module, and the data are displayed in a waveform mode and a numerical mode; the patient can download the sole information of different dates in the downloading module.

In particular, in the Web client patient side, the patient does not have the right to query other patients for plantar information.

Furthermore, the basic functions of the Web client end doctor-suffering end are the same as those of the patient end, and the difference is that the doctor end has the authority to check the sole information of different patients; specifically, the medical staff can check the sole information of the patient by keying in the patient ID on the client and push the diagnosis suggestion to the patient in time.

As shown in fig. 7 and 8, the cloud computing platform mainly provides interfaces for uploading and downloading data for the smartphone APP and the Web client, and stores sole information of the patient on the server; the cloud computing server integrates the sole health model, the sole health state algorithm and the motion state algorithm and is used for automatically judging the sole health state and the motion state of the patient.

Furthermore, the cloud computing platform can provide interface service for the APP and the Web end at the same time, wherein the cloud computing server data interface is used for receiving sole data uploaded by the APP, and the cloud computing server query interface mainly provides data query service for the Web client.

Specifically, the cloud computing server is composed of a computing resource module, a storage resource module, a mirror image, bandwidth setting, security management and an instance specification.

The cloud computing server integrates MySQL and InfluxDB databases to store data, wherein a traditional relational database MySQL is used for processing user information, and a time sequence database InfluxDB is used for processing data uploaded by a user.

Specifically, when data is uploaded, the data is uploaded in an array format, each group of data has 8 data, and an array containing 16 × 8 data needs to be uploaded each time; wherein the 1 st data in the 8 data of each group of data is a pressure signal, the 2 nd data is a microcirculation blood flow signal, the 3 rd to 5 th data are acceleration signals, and the 6 th to 8 th data are angular velocity signals.

Specifically, when inquiring data, a doctor can inquire the patient data and the sole health state of a patient by typing in a patient ID and selecting a date mode needing to inquire the data, and the patient data is presented in a Web client in a specific numerical value mode and a real-time waveform mode; the sole health state of a patient in the Web client is divided into two forms of sole health or sole abnormity.

Further, the cloud computing server provides interface services for the smart phone APP and the Web client, and specifically comprises user login, user information modification, data uploading, data query and data downloading; the APP can transmit sole information to the cloud computing server in real time through an uploading interface provided by the cloud computing server, and the APP can download sole information of the APP by calling a downloading interface provided by the cloud computing server; remote medical personnel can check the sole information of the patient in real time and download the sole information of the patient stored on the cloud computing server by logging in a Web client or an APP.

As shown in fig. 9, the cloud computing server integrates a plantar health model, which is composed of plantar pressure and plantar microcirculation states. Specifically, the normal state of the plantar pressure can be obtained by comparing and analyzing the pressure values at different positions in different states; because the human body can generate discontinuous pressure on the sole in the walking process, the microcirculation state of the sole also presents indirect change along with the change of the pressure of the sole in the process. The method comprises the steps of analyzing and processing the plantar microcirculation blood flow information of a human body, extracting plantar microcirculation time, and taking the time as a standard for judging the plantar microcirculation blood flow state, wherein generally, when the microcirculation time exceeds 2S, the human microcirculation is considered to be obstructed.

Further, the cloud computing server performs statistical analysis on the sole pressure and the sole microcirculation time to realize automatic judgment of the sole health state; the APP and the Web client can inquire the health state of the sole by calling an inquiry interface provided by the cloud computing server.

The embodiment also provides an operating device structure of the sole health management method based on the cloud computing technology, and the device comprises a processor, a memory and a computer program which is stored in the memory and is operated on the processor.

The processor comprises one or more than one processing core, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the sole health management method based on the cloud computing technology is realized when the processor executes the program instructions in the memory.

Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

In addition, the invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the sole health management method based on the cloud computing technology.

Optionally, the present invention also provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of the above aspects of the method for managing sole health based on cloud computing technology.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.