Pressure sore risk monitoring device and early warning system based on multi-sensor fusion

Abstract

The invention discloses a pressure sore risk monitoring device and early warning system based on multi-sensor fusion, and the device comprises a film pressure sensor which is used for monitoring the body surface pressure; the temperature and humidity sensor is used for monitoring local temperature and humidity; the oxyhemoglobin saturation sensor is used for monitoring the oxyhemoglobin saturation of the tissue; the main control chip is used for calculating a risk score based on the body surface pressure, the local temperature and humidity and the tissue blood oxygen saturation degree. The system comprises a plurality of pressure sore risk monitoring devices and an upper computer. The upper computer is provided with a visual interface and dynamically displays a pressure thermodynamic diagram, a temperature and humidity curve and an oxyhemoglobin saturation trend. Flexible structure design and a multi-sensor fusion algorithm are combined, limitation of a traditional monitoring mode is broken through, the system has the advantages of non-sensitive wearing and all-weather continuous monitoring, visual early warning and personalized nursing suggestions are provided, accuracy, real-time performance and clinical nursing efficiency of pressure sore prevention are remarkably improved, and the system is suitable for popularization and application. The medical cost caused by severe pressure sores is effectively reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical devices, in particular to a pressure sore risk monitoring device and early warning system based on multi-sensor fusion. BACKGROUND

[0002] Pressure Injury (PI) is a kind of ischemic skin ulcer caused by long-term compression of local tissues, which leads to blood circulation disorder. According to statistics, the incidence of pressure sores among hospitalized patients worldwide is as high as 15%-20%, and the incidence among intensive care unit (ICU) patients is more than 30%. Pressure sores not only increase the pain and medical expenses of patients, but also may cause serious infection and even death. At present, clinical pressure sore prevention mainly relies on regular turning over and subjective assessment (such as the Braden scale) by nursing staff, but this method is low in efficiency, strong in subjectivity, and difficult to realize real-time monitoring.

[0003] The existing pressure sore detection technology mainly falls into three categories: (1) single pressure sensor scheme: such as the distributed flexible thin film pressure sensor proposed in the invention patent application CN119655712A, which realizes pressure sore risk assessment through pressure matrix and random forest algorithm. Its limitation lies in the fact that it only relies on pressure parameters and cannot reflect internal physiological changes such as tissue ischemia or inflammation. (2) Multi-sensor fusion scheme: such as the combination of capacitive pressure sensor + impedance sensor proposed in the invention patent application CN117377424A, which can monitor pressure and skin impedance simultaneously, but still lacks blood oxygen saturation, a key ischemia indicator. (3) Artificial intelligence model: some studies attempt to analyze pressure time series data through machine learning, but the model generalization ability is limited by single parameter input. SUMMARY

[0004] The present application provides a pressure sore risk monitoring device and early warning system based on multi-sensor fusion, which integrates thin film pressure sensor, temperature sensor, humidity sensor and blood oxygen sensor to monitor key parameters such as body surface pressure distribution, local temperature and humidity, and tissue blood oxygen saturation in real time. Combined with flexible silicone base material and ESP32 wireless transmission module, a comfortable and reliable long-term monitoring platform is constructed. With the help of Wi-Fi network and web-based interactive interface, real-time data transmission, visualization and dynamic early warning are realized, and finally a multi-parameter correlation model is established to dynamically assess pressure sore risk and provide objective basis for clinical nursing, thereby effectively preventing pressure sores and improving patient care quality.

[0005] To achieve the above purpose, the present application adopts the following technical solutions:

[0006] A pressure sore risk monitoring device based on multi-sensor fusion, comprising:

[0007] A thin film pressure sensor is used to monitor the body surface pressure.

[0008] A temperature and humidity sensor is used to monitor the local temperature and humidity.

[0009] A blood oxygen saturation sensor is used to monitor the tissue blood oxygen saturation.

[0010] A master control chip is used to calculate the risk score based on the body surface pressure, local temperature and humidity, and tissue blood oxygen saturation.

[0011] To optimize the above technical solutions, the specific measures taken also include:

[0012] Further, the device further comprises a thin film pressure sensor conversion chip for converting the capacitance change of the thin film pressure sensor into a digital pressure value; the master control chip performs median filtering on the digital pressure value.

[0013] Further, the temperature and humidity sensor communicates with the master control chip based on I 2 C bus communication, and the master control chip performs CRC check on the local temperature and humidity.

[0014] Further, the blood oxygen saturation sensor transmits the photoelectric volume waveform of red light and infrared light to the master control chip through an independent I 2 C interface, and the master control chip calculates the blood oxygen saturation after DC filtering the photoelectric volume waveform.

[0015] Further, the master control chip adopts a dual-core architecture, Core0 is responsible for synchronous acquisition of sensor data, and Core1 runs a dynamic scoring algorithm to calculate the risk score based on the body surface pressure, local temperature and humidity, and tissue blood oxygen saturation.

[0016] Further, the master control chip contains a Wi-Fi module for sending JSON format data packets to the upper computer, and the data packets contain time stamp, sensor ID, pressure, temperature, humidity, blood oxygen saturation, and risk score.

[0017] Further, the dynamic scoring algorithm specifically includes:

[0018] The pressure, temperature, humidity and blood oxygen saturation each parameter full score 25 points, according to the change amplitude is divided into A-D four levels, the rising amplitude of pressure parameter is 0-10%, corresponding to A level, the rising amplitude of pressure parameter is 10%-20%, corresponding to B level, the rising amplitude of pressure parameter is 20%-30%, corresponding to C level, the rising amplitude of pressure parameter is greater than or equal to 30%, corresponding to D level;The rising amplitude of temperature parameter is 0-5%, corresponding to A level, the rising amplitude of temperature parameter is 5%-10%, corresponding to B level, the rising amplitude of temperature parameter is 10%-15%, corresponding to C level, the rising amplitude of temperature parameter is greater than or equal to 15%, corresponding to D level;The rising amplitude of humidity parameter is 0-5%, corresponding to A level, the rising amplitude of humidity parameter is 5%-10%, corresponding to B level, the rising amplitude of humidity parameter is 10%-15%, corresponding to C level, the rising amplitude of humidity parameter is greater than or equal to 15%, corresponding to D level;The falling amplitude of blood oxygen saturation parameter is 0-5%, corresponding to A level, the falling amplitude of blood oxygen saturation parameter is 5%-8%, corresponding to B level, the falling amplitude of blood oxygen saturation parameter is 8%-10%, corresponding to C level, the falling amplitude of blood oxygen saturation parameter is greater than or equal to 10%, corresponding to D level;

[0019] A level is converted into a score of 25*25%=6.25, B level is converted into a score of 25*50%=12.5, C level is converted into a score of 25*75%=18.75, and D level is converted into a score of 25*100%=25;

[0020] Risk score=pressure score+temperature score+humidity score+blood oxygen saturation score;Risk score 75 points or more triggers high risk early warning.

[0021] Further, the device further comprises a dial switch, a USB-to-serial chip, a download Type-C interface, a power switch and a voltage reduction chip;

[0022] The dial switch is used to switch the working state of the master control chip, and realize the conversion of the download mode and the working mode.

[0023] The download Type-C interface is used for the master control chip to download programs, and provides power supply for the whole device;

[0024] The USB-to-serial chip is used to convert the USB signal into a TTL signal recognizable by the master control chip;

[0025] The voltage reduction chip is used to convert the input voltage into 3.3V voltage for the working of the master control chip.

[0026] The application also proposes a pressure sore risk early warning system based on the above device, comprising a plurality of pressure sore risk monitoring devices and a host computer;The host computer has a visual interface, dynamically displays the pressure thermal map, temperature and humidity curve and blood oxygen saturation trend.

[0027] To optimize the above technical solutions, the specific measures taken also include:

[0028] Further, the upper computer adopts a SQLite database, supports CSV export, and the storage format contains original data and risk level labels.

[0029] The beneficial effects of the present application are:

[0030] 1. Multi-parameter fusion: For the first time, pressure, temperature, humidity and blood oxygen saturation are integrated, covering the three pathological mechanisms of mechanical force (pressure), ischemia (blood oxygen) and inflammation (temperature) of pressure ulcer occurrence.

[0031] 2. Dynamic threshold model: A grading early warning algorithm based on weighted scoring is proposed, which is more suitable for individual differences than the fixed threshold of the prior art.

[0032] 3. Flexible and expandable design: Using a silica gel substrate and an ESP32 main control, the blood oxygen module is more easily integrated than a distributed thin film sensor, and the power consumption is reduced by 30%.

[0033] 4. Traditional impedance sensors are susceptible to sweat interference, and the pressure matrix cannot distinguish the pressure difference between bone protruding parts and muscle tissue. The present application directly reflects the ischemic state of the tissue through blood oxygen saturation monitoring, combined with a temperature sensor to exclude environmental interference, solving the above problems. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 is the working principle diagram of the pressure sore risk monitoring system based on multi-sensor fusion proposed by the present application;

[0035] Figure 2 is the hardware arrangement diagram of the pressure sore risk monitoring device based on multi-sensor fusion proposed by the present application;

[0036] Figure 3 is the front surface diagram of the FPCB in the pressure sore risk monitoring device based on multi-sensor fusion proposed by the present application;

[0037] Figure 4 is the back surface diagram of the FPCB in the pressure sore risk monitoring device based on multi-sensor fusion proposed by the present application;

[0038] Figure 5 is the upper computer interface diagram of the pressure sore risk monitoring system based on multi-sensor fusion proposed by the present application.

[0039] The reference signs are as follows: 1, dial switch; 2, main control chip; 3, thin film pressure sensor conversion chip; 4, CH340 chip; 5, download Type-C interface; 6, power switch; 7, voltage reduction chip; 8, blood oxygen saturation sensor; 9, temperature and humidity sensor; 10, thin film pressure sensor. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0041] Embodiment one

[0042] The present application provides a pressure sore risk monitoring device based on multi-sensor fusion, the hardware arrangement diagram of the device is as shown in Figure 2 , comprising:

[0043] Thin film pressure sensor, for monitoring body surface pressure;

[0044] Temperature and humidity sensor, for monitoring local temperature and humidity;

[0045] Blood oxygen saturation sensor, for monitoring tissue blood oxygen saturation;

[0046] Main control chip, for calculating risk score based on body surface pressure, local temperature and humidity and tissue blood oxygen saturation.

[0047] In order to facilitate measurement and data acquisition, the main control chip 2 (ESP32) is placed on the front surface of the FPCB (flexible printed circuit board), the blood oxygen saturation sensor 8, the temperature and humidity sensor 9 and the thin film pressure sensor 10 are placed on the back surface of the FPCB, and the back surface is used for contacting the patient's skin. In order to improve the use experience of the patient, the softer thin film pressure sensor 10 is placed in the center of the flexible plate, and the harder blood oxygen saturation sensor 8 and temperature and humidity sensor 9 are placed in the upper blank space.

[0048] In combination with Figure 3 and Figure 4The device comprises a dial switch 1, a main control chip 2, a thin film pressure sensor conversion chip 3, a CH340 chip 4, a download Type-C interface 5, a power switch 6, a voltage reduction chip 7, a blood oxygen saturation sensor 8, a temperature and humidity sensor 9, and a thin film pressure sensor 10. The FPCB flexible board is adopted, the circuit board can be slightly bent, and the use experience of the patient is improved. The dial switch 1 is used for switching the working state of the main control chip 2 (ESP32), realizing the conversion between the download mode and the working mode; the thin film pressure sensor conversion chip 3 is used for converting the capacitance change of the thin film pressure sensor 10 into a digital pressure value; the main control chip performs median filtering on the digital pressure value. The main control chip downloads the program through the download Type-C interface 5 and provides power supply for the whole circuit, the CH340 chip 4 is used for converting the USB signal into a TTL signal recognizable by the main control chip 2 (ESP32); the voltage reduction chip is used for converting the input 5V power supply into a 3.3V power supply for the working of the main control chip 2 (ESP32).

[0049] The temperature and humidity sensor and the main control chip are based on I 2 C bus communication, and the main control chip performs CRC check on the local temperature and humidity. The blood oxygen saturation sensor transmits the photoelectric volume waveform of red light and infrared light to the main control chip through an independent I 2 C interface, and the main control chip calculates the blood oxygen saturation after DC filtering the photoelectric volume waveform. The main control chip adopts a dual-core architecture, Core0 is responsible for synchronous acquisition of sensor data, and Core1 runs a dynamic scoring algorithm, based on body surface pressure, local temperature and humidity and tissue blood oxygen saturation to calculate a risk score.

[0050] The main control chip contains a Wi-Fi module for sending a JSON format data packet to an upper computer, the data packet containing a timestamp, a sensor ID, pressure, temperature, humidity, blood oxygen saturation and a risk score.

[0051] The dynamic scoring algorithm is specifically:

[0052] The full score of each parameter of pressure, temperature, humidity and blood oxygen saturation is 25 points, and is divided into four levels A-D according to the change amplitude, the rising amplitude of the pressure parameter is 0-10% for A level, the rising amplitude of the pressure parameter is 10%-20% for B level, the rising amplitude of the pressure parameter is 20%-30% for C level, and the rising amplitude of the pressure parameter is greater than or equal to 30% for D level; the rising amplitude of the temperature parameter is 0-5% for A level, the rising amplitude of the temperature parameter is 5%-10% for B level, the rising amplitude of the temperature parameter is 10%-15% for C level, and the rising amplitude of the temperature parameter is greater than or equal to 15% for D level; the rising amplitude of the humidity parameter is 0-5% for A level, the rising amplitude of the humidity parameter is 5%-10% for B level, the rising amplitude of the humidity parameter is 10%-15% for C level, and the rising amplitude of the humidity parameter is greater than or equal to 15% for D level; the falling amplitude of the blood oxygen saturation parameter is 0-5% for A level, the falling amplitude of the blood oxygen saturation parameter is 5%-8% for B level, the falling amplitude of the blood oxygen saturation parameter is 8%-10% for C level, and the falling amplitude of the blood oxygen saturation parameter is greater than or equal to 10% for D level;

[0053] The A level is converted into a score of 25*25% = 6.25 points, the B level is converted into a score of 25*50% = 12.5 points, the C level is converted into a score of 25*75% = 18.75 points, and the D level is converted into a score of 25*100% = 25 points;

[0054] Risk score = pressure score + temperature score + humidity score + blood oxygen saturation score; the risk score is greater than or equal to 75 points to trigger a high-risk early warning.

[0055] As shown in Table 1.

[0056] Table 1

[0057]

[0058] In order to prevent the FPCB from measuring unstable data during work, and at the same time facilitate the protection of the circuit board, a flexible base material is made of Silicone silicone, and the FPCB is packaged in the silicone. The silicone is relatively soft as a whole, which further improves the use experience of the patient. At the same time, the silicone has the performance of waterproof and discharge, which can protect the FPCB during use and improve the service life of the device. It also has the effect of protecting the patient and preventing the FPCB from electric shock.

[0059] Example two

[0060] The present application provides a pressure ulcer risk warning system based on the device of example one, comprising a plurality of pressure ulcer risk monitoring devices and a host computer; the host computer has a visual interface, dynamically displaying a pressure thermal map, a temperature and humidity curve and a blood oxygen saturation trend.Figure 1 The single pressure sore risk monitoring device cooperates with the upper computer.

[0061] The pressure sore risk early warning system can be divided into a data acquisition layer, a data processing layer, a data transmission layer, and an upper computer application layer.

[0062] (I) Data acquisition layer

[0063] Thin film pressure sensor 10: distributed flexible film design, through physical deformation to generate capacitance change, range 20g-6000g, accuracy ±1g, thickness ≤100μm, embedded in flexible silicone base. Thin film pressure sensor conversion chip 3, used to convert the capacitance change of the thin film pressure sensor into a digital pressure value. Temperature and humidity sensor 9 (SHT30): based on I 2 C bus (SDA-GPIO21, SCL-GPIO22) communication, data collected every 1 second, temperature detection range -40℃~125℃, accuracy ±0.2℃, humidity response time <5s. Blood oxygen saturation sensor 8 (MAX30102): through independent I 2 C interface (SDA-GPIO18, SCL-GPIO19) transmission of red light (660nm) and infrared light (880nm) photoelectric volume waveform (PPG), SpO2 (blood oxygen saturation) value calculated by main control chip 2 (ESP32), accuracy ±5%.

[0064] (II) Data processing layer

[0065] Main control chip 2 (ESP32): dual-core architecture, Core0 is responsible for synchronous data acquisition of sensors (pressure ADC, temperature and humidity I 2 C, blood oxygen I 2 C), Core1 runs dynamic scoring algorithm. Data preprocessing includes: pressure signal median filter (window size 5), blood oxygen DC filter (α=0.95), temperature and humidity CRC check.

[0066] The dynamic scoring algorithm is specifically:

[0067] The pressure ulcer risk assessment model is based on four core physiological parameters of pressure, temperature, humidity and blood oxygen saturation to construct a grading early warning system. See Table 1 for details. Each parameter is scored 25 points, divided into four levels A-D according to the change amplitude: A level (6.25 points) for mild abnormalities, and D level (25 points) for severe abnormalities. The specific determination criteria are: pressure parameter: with the initial value as the benchmark, the pressure rise amplitude division point is 10% / 20% / 30%, corresponding to B / C / D level. Temperature and humidity: the same grading threshold (5% / 10% / 15%) is used, but temperature focuses on reflecting inflammatory response, and humidity monitors local microenvironment changes. Both rising will accelerate the development of pressure ulcers. Blood oxygen saturation: the only one using a downward percentage grading (5% / 8% / 10%), directly representing the degree of tissue ischemia. If SpO2 decreases from 98% to 88.2% (-10%), it is rated as D level. The total score is calculated by linear superposition (full score 100 points), and a total score of 75 or more triggers a high-risk warning. This model uses individual initial values as the benchmark to avoid misjudgment caused by fixed thresholds; pressure and blood oxygen form a mechanical-ischemia dual verification, temperature and humidity assist in judging the risk of secondary infection; the grading threshold is developed with reference to the pathological staging standard of the international pressure ulcer guidelines (NPUAP).

[0068] (Three) Data transmission layer: send JSON format data packet to host computer through Wi-Fi module (protocol stack 802.11b / g / n), transmission interval 1 second, delay <2ms. The data packet contains timestamp, sensor ID, four parameter raw values and risk score.

[0069] (Four) Host computer application layer

[0070] Data display: visual interface developed based on PyQt5, dynamically displays pressure-thermal map, temperature-humidity curve and SpO2 trend. Data storage: uses SQLite database, supports CSV export, storage format includes raw data and risk level label (such as "high risk: total score ≥75").

[0071] This embodiment takes three pressure ulcer risk monitoring devices and one host computer as an example. Each single board has the functions of measuring pressure, temperature, humidity and blood oxygen saturation, and transmits to the host computer through the respective master chip. The single boards are connected by enameled wire, one side of which is a USB interface for powering the system. The three single boards are placed at different positions on the patient's body, and the same three positions are used to comprehensively judge the specific situation of pressure ulcer. Figure 5 The host computer interface is composed of three display ends, each corresponding to a device. The display end can display the pressure value, temperature and humidity value and blood oxygen saturation value measured by the lower computer, and the host computer refreshes at a frequency of 1 Hz. Each device can be used independently, and the display end on the right side can record and download the measured data, which is convenient for data processing and dynamic monitoring in the later stage.

[0072] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software manner depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0073] The above is only the preferred embodiment of the present application, and the protection scope of the present application is not limited to the above-mentioned embodiments. Any technical solution falling within the concept of the present application shall fall within the protection scope of the present application. It should be noted that, for ordinary skilled persons in the art, some improvements and refinements without departing from the principles of the present application shall be considered as the protection scope of the present application.

Claims

1. A pressure ulcer risk monitoring device based on multi-sensor fusion, characterized by, The device comprises: a thin film pressure sensor for monitoring body surface pressure; a temperature and humidity sensor for monitoring local temperature and humidity; a blood oxygen saturation sensor for monitoring tissue blood oxygen saturation; a main control chip for calculating a risk score based on body surface pressure, local temperature and humidity, and tissue blood oxygen saturation.

2. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The device further comprises a thin film pressure sensor conversion chip for converting capacitance changes of the thin film pressure sensor into digital pressure values; the main control chip performs median filtering on the digital pressure values.

3. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The temperature and humidity sensor and the main control chip are based on I 2 C bus communication, and the main control chip performs CRC check on the local temperature and humidity.

4. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The blood oxygen saturation sensor transmits the photoelectric volume waveform of red light and infrared light to the main control chip through independent I 2 The C interface transmits the photoelectric volume waveform of red light and infrared light to the main control chip, and the main control chip calculates the blood oxygen saturation after DC filtering the photoelectric volume waveform.

5. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The main control chip adopts a dual-core architecture, Core0 is responsible for synchronous acquisition of sensor data, and Core1 runs a dynamic scoring algorithm to calculate a risk score based on body surface pressure, local temperature and humidity, and tissue blood oxygen saturation.

6. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The main control chip comprises a Wi-Fi module for sending a JSON format data packet to an upper computer, the data packet comprising a timestamp, a sensor ID, pressure, temperature, humidity, blood oxygen saturation, and a risk score.

7. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 5, wherein, The dynamic scoring algorithm specifically comprises: Each parameter of pressure, temperature, humidity, and blood oxygen saturation is full score 25 points, and is divided into four levels A-D according to the change amplitude, the rising amplitude of the pressure parameter is 0-10% for A level, the rising amplitude of the pressure parameter is 10%-20% for B level, the rising amplitude of the pressure parameter is 20%-30% for C level, and the rising amplitude of the pressure parameter is ≥30% for D level; the rising amplitude of the temperature parameter is 0-5% for A level, the rising amplitude of the temperature parameter is 5%-10% for B level, the rising amplitude of the temperature parameter is 10%-15% for C level, and the rising amplitude of the temperature parameter is ≥15% for D level; the rising amplitude of the humidity parameter is 0-5% for A level, the rising amplitude of the humidity parameter is 5%-10% for B level, the rising amplitude of the humidity parameter is 10%-15% for C level, and the rising amplitude of the humidity parameter is ≥15% for D level; the falling amplitude of the blood oxygen saturation parameter is 0-5% for A level, the falling amplitude of the blood oxygen saturation parameter is 5%-8% for B level, the falling amplitude of the blood oxygen saturation parameter is 8%-10% for C level, and the falling amplitude of the blood oxygen saturation parameter is ≥10% for D level; A level is converted into a score of 25*25% = 6.25 points, B level is converted into a score of 25*50% = 12.5 points, C level is converted into a score of 25*75% = 18.75 points, and D level is converted into a score of 25*100% = 25 points; The risk score = pressure score + temperature score + humidity score + blood oxygen saturation score; a high risk warning is triggered when the risk score is 75 points or above.

8. The multisensor fusion based pressure ulcer risk monitoring apparatus as claimed in claim 1, wherein, The device further comprises a dial switch, a USB-to-serial chip, a download Type-C interface, a power switch, and a voltage reduction chip; The dial switch is used to switch the working state of the main control chip to realize conversion between the download mode and the working mode; The download Type-C interface is used for downloading programs for the main control chip and providing power supply for the entire device; The USB-to-serial chip is used to convert USB signals into TTL signals recognizable by the main control chip; The voltage reduction chip is used for converting input voltage into 3.3V voltage for working of a master control chip.

9. A pressure ulcer risk warning system based on the device of claim 1, characterized by, The pressure sore risk monitoring device comprises a plurality of pressure sore risk monitoring devices and a host computer; the host computer has a visual interface, and dynamically displays a pressure thermal map, a temperature and humidity curve and a blood oxygen saturation trend.

10. The pressure ulcer risk warning system of claim 9, wherein, The host computer adopts an SQLite database, supports CSV export, and a storage format contains original data and a risk level label.

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