CN111568398A

CN111568398A - Physiological signal acquisition system based on body area network

Info

Publication number: CN111568398A
Application number: CN202010363282.7A
Authority: CN
Inventors: 解仑; 何迎浩; 陈梦南; 王志良; 王先梅
Original assignee: University of Science and Technology Beijing USTB
Current assignee: University of Science and Technology Beijing USTB
Priority date: 2020-04-30
Filing date: 2020-04-30
Publication date: 2020-08-25

Abstract

The invention provides a physiological signal acquisition system based on a body area network, which comprises: the physiological signal acquisition equipment is used for acquiring physiological signals of a user and transmitting the acquired physiological signals to the APP of the intelligent terminal through a Bluetooth communication technology; the APP is used for receiving and storing the physiological signal and providing an application related to the physiological signal. Wherein the physiological signal comprises a physiological signal representing emotional state, a physiological signal representing physical state and step number; the physiological signals representing the emotional state comprise a skin galvanic reaction signal and a blood volume pulse signal, and the physiological signals representing the physical state comprise a body temperature signal, a heart rate signal, a blood pressure signal, a blood oxygen signal and an electrocardio signal; and data interaction is carried out between the physiological signal acquisition equipment and the APP through a credible acquisition mode. The invention can simultaneously detect the physical health state and emotional state of the user, so as to help the user to adjust the daily work and life of the user in time and obtain higher quality and healthier life.

Description

Physiological signal acquisition system based on body area network

Technical Field

The invention relates to the technical field of intelligent service and trusted computing, in particular to a physiological signal acquisition system for data transmission by using Bluetooth based on a body area network.

Background

With the continuous development of network information technology and sensor technology, under the popularization of the internet, more and more intelligent wearing products are developed and gradually applied to the daily life of people. Smart wearable products have become an important development direction in smart devices. Physiological sensor technology has begun to find wide application in the field of wearable devices. Under the background of the 'internet +' era, various intelligent wearable products emerge like bamboo shoots in the spring after rain, including intelligent bracelets, intelligent watches, intelligent glasses, intelligent clothing and the like. These wearable devices all use physiological sensors including heart rate sensors, pulse sensors, and body temperature sensors, among others. In the future, with the development of technology and the increase of people's demand, wearable devices will further show a trend of diversification and high demand. Most of the intelligent wearable products collect physiological signals such as heart rate, blood oxygen, electrocardio and the like. These physiological signals are indicative of the physical health of the user.

The intelligent wearable product is characterized by easy carrying, intellectualization, fine workmanship, multifunction and the like. Most intelligent wearing products have the function of detecting user health status at present. Such as heart rate detection, calorie detection, etc. The motion state, physical condition and the like of the user are quantified through the physiological signal values. Because it can detect the health condition of the user, it can play an important role in the health detection of sporters and the elderly. However, detecting the emotional state of the user is also an important issue at the present time when the product is more and more intelligent. However, existing smart wearable products are less concerned with emotional state detection of users.

GSR (Galvanic Skin Response) and BVP (blood volume Pulse) are very important physiological signals that can represent emotional states. The present invention is directed to a system that can acquire multiple physiological signals of a user. In addition to the body temperature, heart rate, blood pressure, blood oxygen and electrocardiogram, which represent the physical condition, galvanic skin response GSR and blood volume pulse BVP, which may represent the emotional condition, are collected and the user's steps are calculated from the gyroscope data. The system adopts a mode of combining software and hardware, uses Bluetooth for communication, can realize acquisition, storage and other applications of physiological signals, and has a credible acquisition mode to cope with interference and external invasion.

Disclosure of Invention

The invention aims to provide a physiological signal acquisition system based on a body area network, which can simultaneously detect the physical health condition and emotional state of a user so as to help the user to adjust the daily work and life of the user in time and obtain higher quality and healthier life.

To solve the above technical problem, an embodiment of the present invention provides the following solutions:

a body area network based physiological signal acquisition system comprising:

the physiological signal acquisition equipment is used for acquiring physiological signals of a user and transmitting the acquired physiological signals to the APP of the intelligent terminal through a Bluetooth communication technology;

an APP for receiving and storing the physiological signal and providing an application related to the physiological signal.

Wherein the physiological signal comprises a physiological signal representing an emotional state, a physiological signal representing a physical state, and a number of steps; the physiological signals representing the emotional state comprise a galvanic skin response signal and a blood volume pulse signal, and the physiological signals representing the physical state comprise a body temperature signal, a heart rate signal, a blood pressure signal, a blood oxygen signal and an electrocardio signal; and the physiological signal acquisition equipment and the APP carry out data interaction through a credible acquisition mode.

Preferably, the physiological signal acquisition device comprises a wearable wrist band, an elbow pad and an ankle pad; the wrist strap is used for collecting galvanic skin response signals and blood volume pulse signals, the elbow pad is used for collecting body temperature signals, heart rate signals, blood pressure signals, blood oxygen signals and electrocardiosignals, the ankle pad is used for collecting the step number.

Preferably, the wrist strap comprises a first microcontroller, a first sensor group, a first memory, a first bluetooth module, a first power supply, a first hardware security module, an LCD display screen and a matched peripheral circuit, wherein the first sensor group, the first memory, the first bluetooth module, the first power supply, the first hardware security module and the LCD display screen are respectively connected with the first microcontroller;

the first sensor group is used for collecting a galvanic skin response signal and a blood volume pulse signal;

the first memory is used for storing the data collected by the first sensor group;

the first Bluetooth module is used for transmitting the acquired data to the APP through a Bluetooth communication technology;

the first power supply is used for supplying power to the wrist strap;

the LCD display screen is used for displaying the acquired data;

the first hardware security module is used for guaranteeing data transmission security;

the first microcontroller is used for controlling the first sensor group, the first memory, the first Bluetooth module, the first power supply, the first hardware safety module and the LCD screen to work.

Preferably, the elbow guard comprises a second microcontroller, a second sensor group, a second memory, a second bluetooth module, a second power supply, a second hardware security module and a matched peripheral circuit, wherein the second sensor group, the second memory, the second bluetooth module, the second power supply and the second hardware security module are respectively connected with the second microcontroller;

the second sensor group is used for collecting body temperature signals, heart rate signals, blood pressure signals, blood oxygen signals and electrocardio signals;

the second memory is used for storing the data collected by the second sensor group;

the second Bluetooth module is used for transmitting the acquired data to the APP through a Bluetooth communication technology;

the second power supply is used for supplying power to the elbow pad;

the second hardware security module is used for guaranteeing the data transmission security;

the second microcontroller is used for controlling the second sensor group, the second memory, the second Bluetooth module, the second power supply and the second hardware safety module to work.

Preferably, the ankle guard comprises a third microcontroller, a gyroscope, a third memory, a third bluetooth module, a third power supply, a third hardware security module and a matched peripheral circuit, wherein the gyroscope, the third memory, the third bluetooth module, the third power supply and the third hardware security module are respectively connected with the third microcontroller;

the gyroscope is used for acquiring the step number;

the third memory is used for storing the data collected by the gyroscope;

the third Bluetooth module is used for transmitting the acquired data to the APP through a Bluetooth communication technology;

the third power supply is used for supplying power to the ankle guard;

the third hardware security module is used for guaranteeing the data transmission security;

the third microcontroller is used for controlling the gyroscope, the third memory, the third Bluetooth module, the third power supply and the third hardware safety module to work.

Preferably, the APP comprises:

the data receiving unit is used for receiving data in the acquired physiological signals;

the data storage unit is used for storing data in the acquired physiological signals;

the data viewing unit is used for providing the stored data in the physiological signals for a user to analyze and view;

a data deriving unit for deriving data in the stored physiological signal;

the time calibration unit is used for acquiring the latest time through the Internet and then transmitting the latest time to the physiological signal acquisition equipment through a Bluetooth communication technology so that the physiological signal acquisition equipment updates the time value;

and the credible acquisition unit is used for encrypting and decrypting during communication and carrying out intrusion detection so as to ensure the safety of data transmission.

Wherein the stored data in the physiological signal comprises: collecting time, a galvanic skin response signal value, a blood volume pulse signal value, a body temperature signal value, a heart rate signal value, a blood pressure signal value, a blood oxygen signal value, an electrocardiosignal value and a step value.

Preferably, the trusted acquisition mode comprises:

for the physiological signal acquisition equipment, a hardware security module is adopted to protect the data security of hardware;

for the APP, a key technology is adopted to protect the data security of software, and a machine learning technology design model is used for intrusion detection to prevent external intrusion.

Preferably, the hardware security module comprises a fourth microcontroller, a fourth memory, a switch and a matched peripheral circuit, wherein the fourth memory, the switch and the matched peripheral circuit are respectively connected with the fourth microcontroller;

the fourth memory is used for recording logs;

the switch is used for being responsible for switching of a trusted acquisition mode and hardware resetting after abnormality is detected;

the fourth microcontroller is used for controlling the fourth memory and the switch to work.

Preferably, the trusted acquisition mode of the APP includes:

the robot learning communication security unit is used for designing an intrusion detection model by adopting a machine learning technology and encrypting and decrypting during communication by adopting three key algorithms and an additional data set;

and the intrusion detection unit is used for carrying out model training by utilizing an intrusion detection model designed by a machine learning technology and using a support vector machine, a decomposition machine and a convolutional neural network algorithm, comparing accuracy indexes, and selecting a proper model to deploy into the APP by comprehensively considering all the accuracy indexes so as to carry out intrusion detection in real time.

The scheme of the invention at least comprises the following beneficial effects:

1) the physiological signals acquired by the system are mainly of two types, and the emotional state and the physical state of the user can be well detected through the two types of physiological signals. The first class is physiological signals representing emotional states, including Galvanic Skin Response (GSR) signals and Blood Volume Pulse (BVP) signals. These two physiological signals are not indicative of the physical state, but rather reflect to some extent the psychological emotional state. For example, the present system using the GSR signal can reflect the emotional fluctuation of the user in real time according to the characteristics of the GSR signal. The GSR value of the user may be higher in an excited state of the user than in a calm state. The more excited the user, the higher the increase in GSR value. Conversely, the user may have a lower GSR value in a frustrated state. The system collects the two physiological signals and generates a data set, so that appropriate materials are provided for further analysis. The second category is five physiological signals representing the physical state, which are body temperature, heart rate, blood oxygen and electrocardiogram. The health state of the user can be detected through various angles through the five signals. For example: blood oxygen is an important physiological parameter of human respiration and circulation functions; blood pressure is an important physiological signal, and cardiovascular and cerebrovascular diseases can be prevented by detecting the blood pressure value.

2) The system of the invention adopts the Bluetooth communication technology to realize the combination of software and hardware. The storage function of the data is mainly realized by the APP, so that the hardware part is not limited by the storage capacity of the storage chip. Because the smart phone generally has a bluetooth communication function, if the smart phone uses communication technologies such as Zigbee, the smart phone cannot directly receive data transmitted from the wrist strap. Under the condition of adopting bluetooth communication, after the user possessed wrist strap, elbow pad and ankle guard in this system, the APP of this system of installation just can use on the smart mobile phone.

3) The system of the invention has selectable trusted acquisition modes. In daily life, various communication networks are generally arranged around communication equipment of people, and the people are in danger of being invaded under a complex network environment. The system can deal with external invasion through a credible acquisition mode, and protect hardware equipment and APP. Through the credible acquisition mode, the system can provide more effective safety protection for users, not only protects important personal privacy data, but also can better guarantee the usability of the system and enhance the credibility of the physiological signal acquisition system.

Drawings

Fig. 1 is a schematic structural diagram of a body area network-based physiological signal acquisition system provided by an embodiment of the invention;

FIG. 2 is a schematic view of the construction of a wristband in an embodiment of the invention;

FIG. 3 is a schematic view of the structure of an elbow pad according to an embodiment of the present invention;

FIG. 4 is a schematic view of the construction of an ankle brace in an embodiment of the invention;

FIG. 5 is a schematic diagram of the structure of APP in an embodiment of the present invention;

FIG. 6 is a schematic diagram of a hardware security module according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a workflow of a set of data from collection to storage to application in an embodiment of the invention;

FIG. 8 is a schematic diagram of the main function of the wristband in an embodiment of the invention.

Description of reference numerals: 1-a physiological signal acquisition device; 2-APP; 3-a wrist strap; 4-elbow protection; 5-ankle protection; 201-a data receiving unit; 202-a data storage unit; 203-data viewing unit; 204-a data derivation unit; 205-a time alignment unit; 206-trusted acquisition unit; 301-a first microcontroller; 302-a first sensor group; 303-a first memory; 304-a first bluetooth module; 305 — a first power supply; 306-a first hardware security module; 307-LCD display screen; 401-a second microcontroller; 402-a second sensor group; 403-a second memory; 404-a second bluetooth module; 405-a second power supply; 406-a second hardware security module; 501-a third microcontroller; 502-a gyroscope; 503-a third memory; 504-a third bluetooth module; 505-a third power supply; 506-a third hardware security module; 601-a fourth microcontroller; 602-a fourth memory; 603-switch.

Detailed Description

In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.

An embodiment of the present invention provides a body area network-based physiological signal acquisition system, as shown in fig. 1, the physiological signal acquisition system includes:

the physiological signal acquisition equipment 1 is used for acquiring physiological signals of a user and transmitting the acquired physiological signals to an APP2 of the intelligent terminal through a Bluetooth communication technology;

an APP2 for receiving and storing the physiological signal and providing an application related to the physiological signal.

The credible acquisition mode can ensure that reliable data can be acquired in a complex environment, and the opening of the credible acquisition mode can deal with intrusion attacks aiming at hardware and software, so that the credibility and the safety of the system are ensured.

The physiological signals acquired by the system are mainly of two types, and the emotional state and the physical state of the user can be well detected through the two types of physiological signals. The first class is physiological signals representing emotional states, including Galvanic Skin Response (GSR) signals and Blood Volume Pulse (BVP) signals. These two physiological signals are not indicative of the physical state, but rather reflect to some extent the psychological emotional state. For example, the present system using the GSR signal can reflect the emotional fluctuation of the user in real time according to the characteristics of the GSR signal. The GSR value of the user may be higher in an excited state of the user than in a calm state. The more excited the user, the higher the increase in GSR value. Conversely, the user may have a lower GSR value in a frustrated state. The system collects the two physiological signals and generates a data set, so that appropriate materials are provided for further analysis. The second category is five physiological signals representing the physical state, which are body temperature, heart rate, blood oxygen and electrocardiogram. The health state of the user can be detected through various angles through the five signals. For example: blood oxygen is an important physiological parameter of human respiration and circulation functions; blood pressure is an important physiological signal, and cardiovascular and cerebrovascular diseases can be prevented by detecting the blood pressure value.

The system of the invention adopts the Bluetooth communication technology to realize the combination of software and hardware. The storage function of the data is mainly realized by the APP, so that the hardware part is not limited by the storage capacity of the storage chip. Because the smart phone generally has the Bluetooth communication function, the APP of the system installed on the smart phone can be conveniently used under the condition of adopting the Bluetooth communication.

The system of the invention has selectable trusted acquisition modes. In daily life, various communication networks are generally arranged around communication equipment of people, and the people are in danger of being invaded under a complex network environment. The system can deal with external invasion through a credible acquisition mode, and protect hardware equipment and APP. Through the credible acquisition mode, the system can provide more effective safety protection for users, not only protects important personal privacy data, but also can better guarantee the usability of the system and enhance the credibility of the physiological signal acquisition system.

Further, the physiological signal acquisition apparatus 1 includes a wearable wrist band, an elbow pad, and an ankle pad; the wrist strap is used for collecting a skin galvanic reaction signal and a blood volume pulse signal, the elbow guard is used for collecting a body temperature signal, a heart rate signal, a blood pressure signal, a blood oxygen signal and an electrocardiosignal, and the ankle guard is used for collecting the step number.

The physiological signal acquisition system provided by the invention is a body area network consisting of wearable wristbands, elbows and ankles and a smart phone. Wherein, the wrist strap is used for collecting physiological signals capable of representing emotional states; acquiring physiological signals which can represent the body state by using the elbow pad; calculating the number of steps of the user using the ankle brace; the physiological signal data are transmitted to an APP in the smart phone in a Bluetooth communication mode; and store and otherwise apply such data; and designing a trusted acquisition mode to ensure the safety of data. The credible acquisition mode of the invention is optional, and can safely acquire various physiological signals under the condition of external interference or potential safety hazard. Some emotional state changes and physical state changes can be preliminarily observed through the collected signals.

Further, as shown in fig. 2, the wristband 3 includes a first microcontroller 301, a first sensor group 302, a first memory 303, a first bluetooth module 304, a first power supply 305, a first hardware security module 306, an LCD display screen 307, and peripheral circuits connected to the first microcontroller 301 respectively;

the first sensor group 302 is used for collecting a galvanic skin response signal and a blood volume pulse signal;

the first memory 303 is used for storing data collected by the first sensor group 302;

the first bluetooth module 304 is configured to transmit the collected data to the APP2 through bluetooth communication technology;

the first power source 305 is used for supplying power to the wrist band 3;

the LCD display screen 307 is used for displaying the acquired data;

the first hardware security module 306 is used for guaranteeing the security of data transmission;

the first microcontroller 301 is used for controlling the first sensor group 302, the first memory 303, the first bluetooth module 304, the first power supply 305, the first hardware security module 306 and the LCD display screen 307 to operate.

The wristband 3 adopts a rigid shell, and the first sensor group 302 comprises a GSR module and a BVP module; the GSR module is used for collecting GSR physiological signals and is connected with the first microcontroller 301 by adopting an ADC (analog to digital converter); the BVP module is used to acquire BVP physiological signals and is connected to the first microcontroller 301 using an ADC.

The first power source 305 is a rechargeable battery that provides the electrical energy needed for the operation of the entire wristband; the first memory 303 is a module for temporarily storing the physiological signal in the wristband, and a Flash memory can be selected, can store data for a long time under the condition of power failure, has non-volatility, and can reliably store the acquired physiological signal data.

LCD display 307 is the display portion of the wristband, working with the micro-buttons; the first Bluetooth module 304 is responsible for transmitting physiological signal data in a Flash memory in the wrist strap to an APP of the smart phone, and the selected Bluetooth module is a module with a version of Bluetooth 4 or more; the peripheral circuit comprises a lead, a resistor, a micro button and the like.

The first hardware security module 306 is an important part for performing trusted collection, and is mainly responsible for ensuring data security of the hardware part.

The first microcontroller 301 is the control part of the whole wristband, and may use, but is not limited to, the STM32F103ZET6 chip. The first microcontroller 301 is the core of the embedded device and must have sufficient performance to support the operation of the other modules. For the interface type and number aspects, the selected microcontroller should have more than two ADC channels and enough I/O ports to control the other modules.

Further, as shown in fig. 3, the elbow pad 4 includes a second microcontroller 401, a second sensor group 402, a second memory 403, a second bluetooth module 404, a second power source 405, a second hardware security module 406, and a peripheral circuit connected to the second microcontroller 401;

the second sensor group 402 is used for collecting body temperature signals, heart rate signals, blood pressure signals, blood oxygen signals and electrocardio signals;

the second memory 403 is used for storing data collected by the second sensor group 402;

the second bluetooth module 404 is configured to transmit the collected data to the APP2 through bluetooth communication technology;

the second power source 405 is used to power the elbow pad 4;

the second hardware security module 406 is used for guaranteeing the security of data transmission;

the second microcontroller 401 is configured to control the second sensor group 402, the second memory 403, the second bluetooth module 404, the second power source 405, and the second hardware security module 406 to operate.

The elbow guard 4 is made of a shell made of a flexible material, and the second sensor group 402 comprises a body temperature sensor, a heart rate sensor, a blood pressure sensor, a blood oxygen sensor and an electrocardio sensor which are respectively used for collecting body temperature signals, heart rate signals, blood pressure signals, blood oxygen signals and electrocardio signals.

The second power source 405 is a rechargeable battery that provides the electrical energy needed for the entire elbow pad to operate; the second memory 403 is a module for temporarily storing the physiological signals in the elbow pad, and a Flash memory can be selected, can store data for a long time under the condition of power failure, has non-volatility, and can reliably store the acquired physiological signal data.

The second Bluetooth module 404 is responsible for transmitting the physiological signal data in the Flash memory in the elbow pad to the APP of the smart phone, and the selected Bluetooth module should adopt a module with a version of Bluetooth 4 or more; the peripheral circuit comprises a lead, a resistor, a micro button and the like.

The second hardware security module 406 is an important part for performing trusted collection, and is mainly responsible for securing data of the hardware part.

The second microcontroller 401 is the control part of the whole elbow pad, and can use the STM32F103ZET6 chip, but is not limited to such a chip. The second microcontroller 401 is the core of the embedded device and must have sufficient performance to support the operation of the other modules. For the interface type and number aspects, the selected microcontroller should have more than two ADC channels and enough I/O ports to control the other modules.

Further, as shown in fig. 4, the ankle guard 5 includes a third microcontroller 501, a gyroscope 502, a third memory 503, a third bluetooth module 504, a third power supply 505, a third hardware security module 506, and a peripheral circuit connected to the third microcontroller 501 respectively;

the gyroscope 502 is used for acquiring the number of steps;

the third memory 503 is used for storing data collected by the gyroscope 502;

the third bluetooth module 504 is configured to transmit the collected data to the APP2 through bluetooth communication technology;

a third power source 505 is used to power the ankle brace 5;

the third hardware security module 506 is used for guaranteeing the security of data transmission;

the third microcontroller 501 is used for controlling the gyroscope 502, the third memory 503, the third bluetooth module 504, the third power supply 505 and the third hardware security module 506 to work.

Wherein, the ankle guard 5 adopts a shell made of flexible materials, and the gyroscope 502 acquires information such as the angle of the lower leg part of the user and the like, thereby providing a basis for calculating the step number.

The third power source 505 is a rechargeable battery and provides electric energy required by the operation of the whole ankle guard; the third memory 503 is a module for temporarily storing the physiological signals in the ankle guard, and a Flash memory can be selected, can store data for a long time under the condition of power failure, has non-volatility, and can reliably store the acquired physiological signal data.

The third Bluetooth module 504 is responsible for transmitting the physiological signal data in the Flash memory in the ankle guard to the APP of the smart phone, and the selected Bluetooth module should adopt a module with a version of Bluetooth 4 or more; the peripheral circuit comprises a lead, a resistor, a micro button and the like.

The third hardware security module 506 is an important part for performing trusted collection, and is mainly responsible for ensuring data security of the hardware part.

The third microcontroller 501 is a control part of the whole ankle guard, and can use an STM32F103ZET6 chip, but is not limited to such a chip. The third microcontroller 501 is the core of the embedded device and must have sufficient performance to support the operation of the other modules. For the interface type and number aspects, the selected microcontroller should have more than two ADC channels and enough I/O ports to control the other modules.

The wristband portion is made of a rigid material and may be made of plastic or metal, for example. Since the elbow pad and the ankle pad are required to have a body protecting function, a flexible material is required to be used on the outside of the acquisition circuit, so that the user can wear the device comfortably. In the elbow and ankle guards, the various devices selected are as small as possible. Under the condition that the acquisition circuit is rigid, the shell is made of non-conductive flexible materials such as polyurethane and the like, and the acquisition equipment with the flexible shell is integrated into the wrist pad or the ankle pad, so that the wrist pad and the ankle pad are comfortable to wear.

Because of the popularization of smart mobile phones, smart mobile phones generally possess bluetooth communication module, only need install the APP of this system on smart mobile phones, just can receive the data that wrist strap, elbow pad, ankle guard transmitted through the bluetooth to carry out the operation such as the storage of data and look over.

Further, as shown in fig. 5, the APP includes:

a data receiving unit 201, configured to receive data in the acquired physiological signals;

a data storage unit 202 for storing data in the acquired physiological signals;

a data viewing unit 203, configured to provide the stored data in the physiological signal to a user for analysis and viewing;

a data deriving unit 204 for deriving data from the stored physiological signal;

the time calibration unit 205 is configured to obtain the latest time through the internet, and transmit the latest time to the physiological signal acquisition device through a bluetooth communication technology, so that the physiological signal acquisition device updates a time value;

and the trusted acquisition unit 206 is used for encrypting and decrypting during communication and carrying out intrusion detection so as to ensure the safety of data transmission.

Wherein the stored data in the physiological signal comprises: collecting time, a Galvanic Skin Response (GSR) signal value and a Blood Volume Pulse (BVP) signal value, a body temperature signal value, a heart rate signal value, a blood pressure signal value, a blood oxygen signal value, an electrocardio signal value and a step value.

Specifically, the database of the data storage unit 202 in the APP software of the system adopts an SQLite database. Data storage is carried out in the mode of adopting APP, can concentrate on data storage and other work to going on in the software of smart mobile phone, and the hardware part is absorbed in the collection of signal. Meanwhile, the storable data amount is not limited by the storage capacity of wearable equipment such as a wrist strap.

The data viewing unit 203 is used for a user to perform certain analysis and viewing on the stored physiological signal data. The function can not only search physiological signal data through time, but also visualize various physiological signal data after preliminary analysis. For example, the GSR signal value can be visualized through a graph, so that the emotional state change of the user is more intuitive.

For example, the system may have a preliminary analysis of the GSR signal values and BVP signal values, including but not limited to the following analysis:

1) and analyzing the GSR value of the user in a calm state.

2) The state of the GSR signal value at each time relative to the GSR value in a calm state is analyzed.

3) Other physiological signals, such as heart rate, may be algorithmically calculated for BVP signals.

4) And drawing a physiological signal curve according to the signal acquisition time and the numerical value thereof.

The system can also have preliminary analysis on signal values such as body temperature, heart rate and the like. For example, for the electrocardiographic signals, the electrocardiographic signals are acquired at a suitable frequency and displayed in the form of an electrocardiogram.

The user can view the stored data according to time, can view the physiological signal curve, and can view the result of the system after preliminary analysis.

The data export unit 204 can export the physiological signal data stored in the database into a file format such as xlsx or csv. And then copying the data file according to specific requirements. The data files can provide data sets for techniques such as emotion calculation and the like, and further analysis is facilitated.

The time calibration unit 205 is embodied in that the APP acquires the latest time through the internet, and then transmits the latest time to the physiological signal acquisition device through the bluetooth, so that the physiological signal acquisition device updates the time value. The time is updated once a day to eliminate timing error problems that may be introduced by the physiological signal acquisition device.

The trusted acquisition unit 206 includes encryption and decryption when establishing communication, feature extraction and intrusion detection for the software running state when running software. The function is an optional mode, and the hardware security module must be started first to use the function.

Further, the trusted acquisition mode comprises:

for physiological signal acquisition equipment, a hardware security module is adopted to protect the data security of hardware;

for APP, a key technology is adopted to protect data security of software, and a machine learning technology design model is used for intrusion detection to prevent external intrusion.

The credible acquisition mode can enhance the credibility and the safety of the system through the methods. In the trusted acquisition mode, the safety of hardware and the safety of APP are mainly guaranteed. In order to enhance the credibility of the whole acquisition system, the two parts are respectively detected and protected by a credible acquisition mode according to the realization form of hardware and software of the acquisition part. The credible acquisition mode in the system is an optional mode, namely, the mode can be started to acquire the data of the physiological signals under the condition of external potential safety hazards.

Further, as shown in fig. 6, the hardware security module includes a fourth microcontroller 601, a fourth memory 602, a switch 603, and a peripheral circuit;

the fourth memory 602 is used for logging;

the switch 603 is used for switching the trusted acquisition mode and resetting the hardware after abnormality is detected;

the fourth microcontroller 601 is used to control the fourth memory 602 and the switch 603 to operate.

It should be noted that the first hardware security module 306 in the wrist band, the second hardware security module 406 in the elbow pad, and the third hardware security module 506 in the ankle pad may all adopt the above-mentioned hardware security module structure.

In the application process, the switch 603 can be pressed for a short time to turn on and off the trusted acquisition mode, and the hardware equipment can stop physiological signal acquisition and Bluetooth communication when the hardware equipment faces a safety problem by pressing for a long time for 5 seconds. When communication is terminated due to security issues, communication needs to be reestablished with the original paired device (i.e., smartphone). If the communication is stopped twice in a short time due to the safety problem, the hardware safety module sends an instruction to enable the acquisition part to clearly determine the physiological signal data in the storage chip and the current Bluetooth pairing information. The hardware security module can carry out communication identity verification and can also send a control instruction for clearing the collected part of physiological data. By using the interrupt priority, the instruction sent to each microcontroller by the hardware security module after the trusted acquisition mode is started is the highest priority. By using the interrupt priority mode, the operation of resetting and the like of the acquisition equipment when encountering the safety problem is ensured, so that the safety of the acquisition equipment is ensured.

And at regular intervals, the hardware security module acquires the current communication information and verifies the identity of the other party of communication. When an anomaly is found, the hardware security module calculates whether to stop sending the physiological signal data.

The opening and closing of the hardware safety module are only controlled by the switch of the module. In the case of paired acquisition devices, bluetooth, the hardware security module should prevent other communications, i.e. when the acquisition devices are paired, the acquisition devices only communicate with the current communication device and do not accept the communication requests of other devices.

Further, the trusted collection mode of the APP includes:

and the intrusion detection unit is used for carrying out model training by utilizing an intrusion detection model designed by a machine learning technology and using algorithms such as a support vector machine, a decomposition machine, a convolutional neural network and the like, comparing accuracy indexes, and selecting a proper model to deploy into the APP by comprehensively considering all the accuracy indexes so as to carry out intrusion detection in real time.

In the invention, the encryption and decryption of the hardware security module and the APP adopt a symmetric encryption algorithm. The hardware security module and the APP store three encryption algorithms, wherein the three algorithms are AES, DES and 3 DES. After the hardware security module is opened, the information that the hardware security module is opened is sent to the APP through the acquisition equipment. Only after receiving the information that the hardware security module is opened, the APP initiates encryption and decryption communication with the hardware device. When the hardware security module is closed, the communication initiated by the APP and related to encryption and decryption can be regarded as invalid information by the hardware device.

AES uses a 128-bit key, DES uses a 56-bit key, and 3DES uses a 112-bit key. Every time the hardware security module is opened, the hardware security module also comprises a 5-bit data segment besides information contained in encryption and decryption. The first and second bits represent the hardware device number that initiated the communication, with wristband number 00, elbow pad number 01, and ankle pad number 10. The third and fourth bits represent the key algorithm employed for this encrypted and decrypted communication. 00 denotes the use of the AES algorithm, 01 denotes the use of the DES algorithm, and 10 denotes the use of the 3DES algorithm. Because the number of key bits used by the three algorithms is different. Bit 5 of the data segment is used to solve this problem. A 0 on bit 5 indicates the number of bits required for the algorithm to be taken forward starting from bit 1 in the key stored in hardware and APP. A 1 on bit 5 indicates the number of bits required to reverse the algorithm from bit 128 in the key stored in the hardware and APP. For example: the data segment is 01100, which means the encryption and decryption calculation initiated by the elbow guard, the calculation is carried out by adopting DES algorithm, and 56 bits of data from the 1 st bit in the original key are taken as the key of DES algorithm; the data segment is 10011, which represents the encryption and decryption calculation initiated by the ankle guard, the 3DES algorithm is adopted for calculation, and 112 bits of data from the 128 th bit in the original key are reversely taken as the key of the 3DES algorithm. Cryptographic calculations are only performed when the hardware security module is turned on to ensure that the device about to communicate is authentic. The hardware security module should also record security logs and send exception warnings to the handset.

There are many software applications that use signature-based methods to identify security threats. Signature-based approaches involve generating a unique signature for each previously known malware, while detection involves scanning applications to match existing signatures in the malware database. Also, heuristic based methods rely on explicit differentiation rules to differentiate malware, resulting in human bias-induced errors. In fact, both of these approaches will be ineffective if the development of malware databases or differentiation rules cannot keep up with the emergence and development rates of new malware.

To overcome the above two problems, machine learning based intrusion detection techniques may be used. Machine learning based intrusion detection techniques can discover previously undetected malicious samples.

The existing machine learning technology for intrusion detection has high false alarm rate and limited accuracy. This may be due to the use of simpler models such as first order models or linear classifiers. These models are not optimistic in dealing with more feature dimensions and non-linear relationships. Considering the interactions and potential relationships between features, it is necessary to introduce non-linearities into intrusion detection. For example, an application requesting both GPS and SEND SMS permissions may be attempting to perform location leakage, while the presence of only one of the requests does not indicate any malicious behavior. But also requesting GPS location may be in preparation for turning on bluetooth and wireless lan.

In order to protect the data security of the user and the security of the acquisition system, it is necessary to protect the APP part. The system adopts algorithms such as a support vector machine, a decomposition machine, a convolutional neural network and the like in machine learning technology to train models, and the models can process nonlinear conditions.

For performance assessment, the indices used included accuracy, false positive rate, recall, F1 score, AUC, ROC. And comprehensively considering the indexes, and selecting the most appropriate model for deployment. The system deploys the trained model to the smart phone, extracts the characteristics required by detection through the APP, and carries out intrusion detection aiming at the APP. The extracted features do not have to be stored too long when the APP is running normally. When the APP may face security issues, the APP records various features in this case. The features extracted during detection can provide data for further improving the performance of intrusion detection.

FIG. 7 is a schematic diagram of a workflow of a set of data from collection to storage to application in an embodiment of the present invention. The physiological signal data are stored in a Flash memory of the wrist strap from the beginning of acquiring the physiological signal data through the corresponding sensor, then are transmitted to an APP of the smart phone in a Bluetooth communication mode, and then are stored in a database SQLite. Typically, a set of data is a necessary process from acquisition to storage in the APP. And then judging whether a control instruction is input or not according to the requirement of a user. If not, the storage of the data is completed once. If the control instruction is input, the type of the control instruction is judged, and corresponding functions are provided according to the type of the control instruction.

Taking a wrist strap as an example, fig. 8 is a schematic diagram of main functions of the wrist strap in an embodiment of the invention. LCD display and key input realize input and output functions, system control provides functional configuration and time calibration for the wrist strap, and data acquisition, data storage and Bluetooth communication are related functions for acquiring and storing physiological signals. The function of the elbow pad and ankle pad is substantially the same as that of fig. 8, except that the elbow pad and ankle pad do not have the LCD display function and will not be described in detail herein.

While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A body area network-based physiological signal acquisition system, comprising:

2. A physiological signal acquisition system according to claim 1, wherein the physiological signal acquisition device comprises a wearable wrist band, elbow pad and ankle pad; the wrist strap is used for collecting galvanic skin response signals and blood volume pulse signals, the elbow pad is used for collecting body temperature signals, heart rate signals, blood pressure signals, blood oxygen signals and electrocardiosignals, the ankle pad is used for collecting the step number.

3. The physiological signal acquisition system according to claim 2, wherein the wrist strap comprises a first microcontroller, a first sensor group, a first memory, a first bluetooth module, a first power supply, a first hardware security module, an LCD display screen, and a peripheral circuit connected to the first microcontroller respectively;

the first power supply is used for supplying power to the wrist strap;

the LCD display screen is used for displaying the acquired data;

4. The physiological signal acquisition system of claim 2, wherein the elbow pad comprises a second microcontroller, a second sensor group, a second memory, a second bluetooth module, a second power supply, a second hardware security module, and a peripheral circuit connected to the second microcontroller respectively;

the second power supply is used for supplying power to the elbow pad;

5. The physiological signal acquisition system of claim 2, wherein the ankle guard comprises a third microcontroller, a gyroscope, a third memory, a third bluetooth module, a third power supply, a third hardware security module, and a matched peripheral circuit, which are respectively connected with the third microcontroller;

the gyroscope is used for acquiring the step number;

the third memory is used for storing the data collected by the gyroscope;

the third power supply is used for supplying power to the ankle guard;

6. The physiological signal acquisition system of claim 1, wherein the APP comprises:

a data deriving unit for deriving data in the stored physiological signal;

7. A physiological signal acquisition system according to claim 1, wherein the trusted acquisition mode comprises:

8. The physiological signal acquisition system according to claim 7, wherein the hardware security module comprises a fourth microcontroller, a fourth memory, a switch and a matched peripheral circuit, wherein the fourth memory, the switch and the matched peripheral circuit are respectively connected with the fourth microcontroller;

the fourth memory is used for recording logs;

9. The physiological signal acquisition system of claim 7, wherein the trusted acquisition mode of the APP comprises: