Human body multi-dimensional sign data monitoring system and method based on wearable intelligent bandage

Abstract

The invention relates to the field of medical data monitoring, in particular to a human body multi-dimensional sign data monitoring system based on a wearable intelligent bandage, which comprises a bandage body, a sensor module, a control module, a wireless communication module and a power supply module. By integrating the temperature sensor, the humidity sensor and the pressure sensor, key parameters of a wound are monitored in real time, remote transmission and analysis of data are achieved through the wireless communication module, and the accuracy and safety of wound nursing are improved. The invention further provides a human body multi-dimensional sign data monitoring method based on the wearable intelligent bandage, the robustness and the control precision of the system are improved by adopting the self-adaptive fuzzy PID control algorithm added with integral separation, the influence of large parameter change or external interference is reduced, and the monitoring stability is further improved.

Description

Technical Field

[0001] The present invention relates to the field of medical data monitoring, and specifically relates to a multi-dimensional vital sign data monitoring system and method for the human body based on a wearable intelligent bandage. Background Art

[0002] The basic function of traditional bandages is to physically protect the wound and prevent external contaminants from entering. However, this passive protection cannot monitor the wound condition in real time, which easily leads to untimely nursing and thus complications such as infections. Dynamic changes in the wound environment, such as increased temperature, increased humidity, and excessive pressure, may indicate infection or poor healing. Traditional bandages cannot provide real-time data, and medical staff can only rely on regular inspections and patient feedback, which is lagging and inaccurate.

[0003] With the development of sensor technology and wireless communication technology, intelligent bandages have gradually become a research hotspot. Intelligent bandages not only have the protection function of traditional bandages, but also can monitor the temperature, humidity, and pressure of the wound in real time, providing scientific data support to optimize the nursing plan. At present, there are already some preliminary intelligent bandage products on the market, but there is still much room for improvement in their functions and performance. The present invention aims to provide a powerful and convenient intelligent bandage by integrating high-performance sensors, intelligent control systems, and wireless communication modules. Summary of the Invention

[0004] The present invention provides a multi-dimensional vital sign data monitoring system for the human body based on a wearable intelligent bandage, including:

[0005] A bandage body;

[0006] A sensor module for real-time monitoring of the temperature, humidity, and pressure of the wound, and the sensor module includes a thermocouple or a thermistor temperature sensor, a capacitive humidity sensor, and a piezoresistive sensor;

[0007] A control module for receiving data from the sensor module and optimizing the data of the sensor module through an adaptive fuzzy PID control algorithm. After data processing, multi-dimensional vital sign data of the human body is obtained;

[0008] A wireless communication module for sending the multi-dimensional vital sign data of the human body processed by the control module to an external device;

[0009] A power supply module for powering each module.

[0010] Furthermore, each sensor in the sensor module is made of a flexible material to ensure that the sensor can still work normally when the bandage bends and stretches.

[0011] Furthermore, the control module uses an STM32 microcontroller.

[0012] Furthermore, the wireless communication module transmits data to external devices via Bluetooth Low Energy.

[0013] Furthermore, the power module uses a flexible lithium battery and is equipped with a thermoelectric conversion unit and / or a piezoelectric conversion unit to extend the battery life.

[0014] The present invention also provides a method for monitoring multi-dimensional physiological sign data of the human body based on a wearable intelligent bandage, including the following steps:

[0015] S1. The sensor module disposed on the inner side of the bandage acquires temperature, humidity, and pressure data near the wound and sends them to the control module;

[0016] S2. The control module processes the temperature, humidity, and pressure data based on the adaptive fuzzy PID control algorithm, and obtains the multi-dimensional physiological sign data of the human body after data processing;

[0017] The adaptive fuzzy PID control algorithm includes:

[0018] The formula of the PID control algorithm is

[0019]

[0020] where represents the control quantity corresponding to the time; is the deviation signal of the traditional PID control algorithm, is the proportional factor, mainly used to control the system stability and sensitivity; is the differential factor, mainly used to adjust the system overshoot and overshoot amount;

[0021] For and and are fuzzified and corrected, and the corrected parameters are:

[0022]

[0023] where the correction amount and and are determined based on the fuzzy sets mapped by the error and the error change rate .

[0024] Furthermore, the formula for obtaining the temperature based on the temperature data is:

[0025]

[0026] Among them, is the resistance value at temperature , is the resistance value at the reference temperature, , and are the first, second, and third coefficients of temperature, used to adjust the curve of resistance varying with temperature.

[0027] Furthermore, the formula for temperature based on humidity data is:

[0028]

[0029]

[0030] where is the resistance value of the sensor.

[0031] Furthermore, the formula for pressure based on pressure data is:

[0032]

[0033] is the value of the sensor resistance, is the resistance value when there is no stress (pressure is zero), is the pressure applied to the sensor, and are constants related to the characteristics of the sensor.

[0034] Furthermore, the adaptive fuzzy PID control algorithm further improves the robustness and control accuracy of the system by adopting integral separation

[0035] Compared with the prior art, the present invention has the following advantages:

[0036] (1) The multi-dimensional vital sign data monitoring system for the human body based on the wearable intelligent bandage provided by the present invention includes a bandage body, a sensor module, a control module, and a wireless communication module. By integrating temperature, humidity, and pressure sensors, it can monitor the key parameters of the wound in real time, and realize the remote transmission and analysis of data through the wireless communication module, improving the accuracy and safety of wound care, and having broad application prospects and market potential.

[0037] (2) The present invention provides a method for monitoring multi-dimensional vital sign data of the human body based on a wearable intelligent bandage. By adopting an adaptive fuzzy PID control algorithm with integral separation, it improves the robustness and control accuracy of the system, reduces the influence of large parameter changes or external interference, and further improves the stability of monitoring. Description of the Drawings

[0038] Figure 1It is the layout diagram of the sensor applied to the leg of the present invention;

[0039] Figure 2 It is the module relationship diagram of the present invention;

[0040] Figure 3 It is the flowchart of the pressure sensor feedback control system based on traditional PID control. Specific embodiments

[0041] The following further describes the present invention in detail in conjunction with specific embodiments, so as to make the purpose, technical solution and advantages of the present invention clearer. It should be noted that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not used to limit the present invention.

[0043] As Figure 1 and 2 shown, a multi-dimensional vital sign data monitoring system for the human body based on a wearable intelligent bandage provided by the present invention includes: a bandage body; a sensor module for real-time monitoring of the temperature, humidity and pressure of a wound, the sensor module including a thermocouple or a thermistor temperature sensor, a capacitive humidity sensor and a piezoresistive sensor; a control module for receiving the data of the sensor module and optimizing the data of the sensor module through an adaptive fuzzy PID control algorithm, and obtaining multi-dimensional vital sign data of the human body after data processing; a wireless communication module for sending the multi-dimensional vital sign data of the human body obtained after processing by the control module to an external device; and a power supply module for supplying power to each module.

[0044] During use, each sensor of the sensor module is arranged between the bandage body and the human body. Each sensor is made of flexible material and is waterproofed to adapt to the bending and stretching during the use of the bandage. The control module uses an STM32 microcontroller and collects each data in the sensor module through a data conversion module. In this embodiment, the data conversion module selects an analog-to-digital converter (ADC) to convert the analog signal into a digital signal that can be processed by the microcontroller. In this embodiment, the wireless communication module uses low-power Bluetooth. According to the applicable scenario, a WIFI module with a longer transmission distance and more stable signal can also be used. The external device can be a supporting mobile application or a dedicated data receiving window, which can provide functions such as data viewing, analysis and management, and support graphical display of data and query of historical records. The battery module uses alkaline batteries to adapt to the bending and stretching of the bandage. The battery capacity should meet the long-term use requirements and have good safety and stability. To increase the battery capacity, a thermoelectric conversion unit and / or a piezoelectric conversion unit can be configured for the battery to provide additional power by absorbing skin heat dissipation and bandage pressure.

[0045] In this embodiment, the sensor module uses a thermocouple or a thermistor temperature sensor to obtain temperature data, a capacitive humidity sensor to obtain humidity data, and a piezoresistive sensor to obtain pressure data. Taking the piezoresistive sensor as an example, considering problems such as small pressure signals and fast change frequencies, in order to enable the system to obtain an effective and stable pressure signal, the traditional PID control algorithm is combined to process the output voltage of the sensor. The core of the traditional PID control algorithm is to adjust the past state, current state and future state of the controlled object in real time, and compare the pressure value output by the sensor with the set target pressure value in real time, so that the output signal of the controlled object can meet the needs of the actual error. The formula of the traditional PID control algorithm is as follows:

[0046]

[0047] where, represents the control quantity corresponding to the time. is the deviation signal of the traditional PID control algorithm, is the proportional factor, which is mainly used to control the stability and sensitivity of the system. is the differential factor, which is mainly used to adjust the overshoot and overshoot of the system.

[0048] To further improve the robustness and control accuracy of the system, especially in the case of large parameter changes or complex external disturbances, this design adopts an adaptive fuzzy PID control algorithm and incorporates integral separation. This algorithm combines the advantages of fuzzy control and PID control, and improves the control performance by online adjusting the PID parameters. The specific process is as follows:

[0049] Fuzzy rule design: In traditional PID control, the control effect depends on 、 、 fixed values. However, these parameters may not be suitable for different working states. Fuzzy control adjusts the PID parameters by fuzzy processing of the error and the error change rate using fuzzy rules: is used to accelerate the response speed and increase its value when the error is large; is used to eliminate the steady-state error and increase its value when the error is small; is used to suppress overshoot and increase its value when the error changes violently.

[0050] Fuzzy controller structure: The fuzzy controller performs fuzzy processing on and , combines the preset fuzzy rule table, and calculates the gain correction amounts 、 、 . The corrected parameters are:

[0051]

[0052] In summary, the fuzzy algorithm process is as follows:

[0053] (1)Input fuzzyfication: According to the error and the error change rate , map them to fuzzy sets (such as linguistic variables like "positive large", "positive middle", "negative small", etc.).

[0054] (2)Fuzzy inference: Use the fuzzy rule table to deduce the fuzzy values of 、 、 .

[0055] (3)Defuzzyfication: Use the weighted average method or the centroid method to convert the fuzzy values into precise quantity values for adjusting the PID parameters.

[0056] For the above adaptive fuzzy PID control algorithm, this embodiment also provides an improved algorithm that uses integral separation to further improve the robustness and control accuracy of the system. Specifically, the formula of the PID control algorithm is:

[0057]

[0058] Among them, 、 、 are the proportional, integral and derivative coefficients respectively. By setting an error threshold , when the current error exceeds , the integral link is temporarily closed, and the controller adjusts the system only by proportional and derivative actions to quickly reduce the error; when , the integral action is reintroduced to reduce the steady-state error of the system.

[0059] By introducing the integral separation mechanism, the participation degree of the integral action is dynamically adjusted according to the size of the error, so as to reduce the integral action when the system responds to large deviations, and play the integral action to eliminate the steady-state error when the deviation is small. It can effectively avoid the accumulation problem of the integral term in the large-error stage, and at the same time take into account the fast response and steady-state accuracy.

[0060] A multi-dimensional vital sign data monitoring system and method for the human body based on a wearable intelligent bandage provided in this embodiment are applied to the wound care after surgery. It can monitor the wound temperature and humidity in real time, prevent infection and ulceration. The sensor data can be used as a reference for doctors to adjust the treatment plan. For patients who are bedridden for a long time, it can monitor and adjust the compression through pressure sensors, reduce the incidence of pressure sores, and the data analysis results can be used to evaluate the nursing effect. The intelligent bandage can monitor and manage the treatment process by integrating sensors and advanced materials, effectively relieve symptoms and promote wound healing. Moreover, the intelligent bandage can provide data feedback for patients and doctors to understand the treatment progress and adjust the treatment plan as needed. The intelligent bandage of the present invention integrates temperature, humidity and pressure sensors to monitor the key parameters of the wound in real time, and realizes the remote transmission and analysis of data through a wireless communication module, improving the accuracy and safety of wound care, and having broad application prospects and market potential.

Claims

1. A multi-dimensional vital sign data monitoring system for human body based on wearable intelligent bandage, characterized in that: include: Bandage body; A sensor module, for real-time monitoring of the temperature, humidity and pressure of the wound, the sensor module comprising a thermocouple or thermistor temperature sensor, a capacitive humidity sensor and a piezoresistor sensor; The control module is used to receive the data from the sensor module and optimize the data from the sensor module through an adaptive fuzzy PID control algorithm, and obtain multi-dimensional vital sign data of the human body after data processing; A wireless communication module is used to send the multi-dimensional human body sign data processed by the control module to an external device; The power module is used to supply power to each module.

2. According to claim 1, a multi-dimensional vital sign data monitoring system for a human body based on a wearable smart bandage is characterized in that: Each sensor in the sensor module is made of flexible material to ensure that the sensor can still work normally when the bandage is bent and stretched.

3. According to claim 1, a multi-dimensional vital sign data monitoring system for a human body based on a wearable smart bandage is characterized in that: The control module adopts an STM32 microcontroller.

4. According to claim 1, a multi-dimensional vital sign data monitoring system for a human body based on a wearable smart bandage is characterized in that: The wireless communication module transmits data with external devices via low-power Bluetooth.

5. According to claim 1, a multi-dimensional vital sign data monitoring system for a human body based on a wearable smart bandage is characterized in that: The power module adopts a flexible lithium battery and is equipped with a thermoelectric conversion unit and / or a piezoelectric conversion unit to extend the battery power.

6. A method for monitoring multi-dimensional vital signs data of a human body based on a wearable smart bandage, characterized in that: The steps include: S1. The sensor module disposed inside the bandage obtains the temperature, humidity and pressure data near the wound and sends it to the control module; S2. The control module obtains temperature, humidity and pressure data based on the adaptive fuzzy PID control algorithm, and obtains multi-dimensional vital signs data of the human body after data processing; The adaptive fuzzy PID control algorithm is specifically: The formula for the PID control algorithm is: in, express The control amount corresponding to the moment; It is the deviation signal of the traditional PID control algorithm. is the proportional factor, which is mainly used to control the stability and sensitivity of the system; It is the differential factor, which is mainly used to adjust the overshoot and overshoot of the system; It is the integration factor, which is mainly used to eliminate the static error of the system; right , , After fuzzy correction, the corrected , , for: in , , It is the parameter of the traditional PID in the previous cycle, the correction value , , Based on error and error rate of change The mapped fuzzy set is determined.

7. The multi-dimensional vital sign data monitoring method of a human body based on a wearable smart bandage according to claim 6, characterized in that: The formula for getting temperature based on temperature data is: in, The temperature is The resistance value when is the resistance value at the reference temperature, , and These are the first, second, and third degree coefficients of temperature, used to adjust the resistance curve as it changes with temperature.

8. The method for monitoring multi-dimensional vital signs data of a human body based on a wearable smart bandage according to claim 6, characterized in that: The formula for getting temperature based on humidity data is: in is the normalized humidity value, is the relative humidity, is the mean of humidity data, is the standard deviation of humidity data; is the estimated value of temperature, is the resistance value of the sensor, are the polynomial fitting coefficients.

9. The method for monitoring multi-dimensional vital signs data of a human body based on a wearable smart bandage according to claim 6, characterized in that: The formula for obtaining pressure based on pressure data is: is the value of the sensor resistance, is the resistance value when there is no stress (pressure is zero), is the pressure applied to the sensor, and is a constant related to the sensor characteristics.

10. The method for monitoring multi-dimensional vital signs data of a human body based on a wearable smart bandage according to claim 6, characterized in that: The adaptive fuzzy PID control algorithm adopts integral separation to further improve the robustness and control accuracy of the system. Specifically, the formula of the PID control algorithm is: in, is the error threshold, which is set manually. is the current error value.

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