Embedded pressure sore detection and early warning system and automatic preventive measure starting device thereof

Abstract

The invention belongs to the technical field of detection and early warning, and discloses an embedded pressure sore detection and early warning system and an automatic preventive measure starting device thereof, which improve the accuracy and sensitivity of monitoring, comprehensively monitor local pressure, oxyhemoglobin saturation and blood flow changes through the combination of a pressure sensor and an optical sensor, and improve the accuracy and sensitivity of monitoring. And pressure sore early warning failure caused by single parameter detection is avoided. Automatic intervention measures are achieved, prevention functions such as turning over and massaging are dynamically started through system design, nursing pressure is relieved, and the prevention effect is improved. And an embedded early warning system is designed, so that the device is suitable for mattresses, wheelchair cushions and other scenes, and the experience of patients is improved. The system integrates a pressure sensor and an optical sensor, and combines three models of PTIM, OSFM and MRAM to realize comprehensive analysis of multi-dimensional parameters of pressure, blood oxygen and blood flow, so that the sensitivity and accuracy of pressure sore risk prediction are greatly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of detection and early warning, and in particular relates to an embedded pressure sore detection and early warning system and an automatic preventive measure starting device thereof. Background Art

[0002] Most of the existing pressure sore detection and warning devices use pressure sensors to monitor local pressure. By setting the pressure threshold, an alarm is issued when the pressure in a certain area continues to exceed the set value. This type of technology has the following shortcomings: Single monitoring dimension: relying only on pressure sensors, it is impossible to evaluate the changes in blood oxygen saturation and blood flow in the tissue under the skin in real time, and there is a lag in the identification of early pressure sore risks. Lack of automated intervention measures: Existing equipment mainly provides alarm functions and cannot dynamically initiate preventive measures (such as turning over, massage, etc.) according to the risk of pressure sores. Users need to operate manually, which increases the burden of care. Limited applicability: Existing equipment is usually independent of mattresses or cushions and is difficult to embed and use, resulting in reduced patient comfort and poor equipment adaptability.

[0003] Through the above analysis, the problems and defects of the prior art are as follows:

[0004] (1) Single monitoring dimension: Relying only on pressure sensors, it is impossible to evaluate the changes in blood oxygen saturation and blood flow in the subcutaneous tissue in real time, and there is a lag in the identification of early pressure ulcer risks.

[0005] (2) Lack of automated intervention measures: Existing equipment mainly provides alarm functions and cannot dynamically initiate preventive measures (such as turning over, massage, etc.) based on the risk of pressure ulcers. Users need to operate manually, which increases the burden of care.

[0006] (3) Limited applicability: Existing devices are usually independent of mattresses or cushions and difficult to embed for use, resulting in reduced patient comfort and poor device adaptability. Summary of the invention

[0007] In view of the problems existing in the prior art, the present invention provides an embedded pressure sore detection and early warning system and an automatic preventive measure starting device thereof.

[0008] The present invention is implemented as follows: an embedded pressure sore detection and early warning system and an automatic preventive measure activation device thereof include:

[0009] Embedded sensor module, data acquisition and processing module, early warning module, automatic intervention module, communication module, power supply and embedded structure module;

[0010] The embedded sensor module is connected to the data acquisition and processing module to monitor the pressure level and duration of a specific area in real time through a pressure sensor; the optical sensor is used to collect the changes in blood oxygen saturation and blood flow of tissues under the skin to assist in determining the impact of local compression on tissue blood circulation;

[0011] The data acquisition and processing module is connected with the embedded sensor module, the early warning module, the automatic intervention module, the communication module, the power supply and the embedded structure module, and is used to collect, analyze and fuse the data of the pressure sensor and the optical sensor in real time, and extract multi-dimensional parameters through the algorithm model;

[0012] The early warning module is connected to the data acquisition and processing module and is used to set a multi-dimensional early warning threshold for the risk of pressure sores. When the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced, an early warning signal is issued;

[0013] The automatic intervention module is connected to the data acquisition and processing module and is used to dynamically initiate corresponding intervention measures according to the early warning signal through the turning device and the massage module to relieve local pressure and improve blood circulation;

[0014] The communication module is connected to the data acquisition and processing module and is used to connect to mobile devices to remotely push alarm information and data reports, so that nursing staff can understand the patient's status in real time;

[0015] The power supply and embedded structure module is connected to the data acquisition and processing module and is used to supply power through the built-in battery of the mattress or cushion to ensure the stability of the device during long-term use and the adaptability of the embedded design.

[0016] Furthermore, the data acquisition and processing module:

[0017] Data collection:

[0018] The pressure sensor monitors the pressure in a specific area in real time. When the pressure value is higher than the set threshold and lasts for more than a certain period of time, the data of the area is recorded;

[0019] Optical sensors detect blood oxygen saturation and blood flow under the skin through near-infrared spectroscopy analysis to extract key physiological parameters;

[0020] Mathematical Description of Sensor Data Acquisition

[0021] Model 1: Pressure-Time Integrated Model (PTIM)

[0022] Mathematical formula:

[0023] Among them, P(t) is the pressure value of a certain area, t0 and t1 are the starting and ending points of the pressure duration;

[0024] Working principle:

[0025] The pressure value P(t) is recorded in real time. When the pressure continues to exceed the preset threshold value Pth, the integral calculation is started;

[0026] If the integral value Pint exceeds the set value, it indicates that the local tissue may be compressed, triggering the next step of data fusion and analysis;

[0027] Model 2: Optical Signal Feature Extraction Model (OSFM)

[0028] Mathematical formula:

[0029] ΔSO2=S O2(t1)S O2(t0)ΔQ=Q(t1)-Q(t0)

[0030] Among them, SO2 is blood oxygen saturation, Q is blood flow, which are obtained in real time through near-infrared spectroscopy analysis;

[0031] Working principle:

[0032] When the pressure continues to exceed the limit, the optical sensor detects the changes in SO2 and Q under the local skin;

[0033] If △SO2 and △Q drop significantly at the same time (exceeding the set threshold), it is marked as a high-risk area;

[0034] Data Fusion and Analysis:

[0035] The pressure data is integrated with the optical sensor data, and the effect of local compression on tissue blood circulation is analyzed through an algorithm model;

[0036] Determine whether there is a risk of pressure sores: When both the duration of pressure and the rate of decrease in blood oxygen saturation exceed the preset threshold, it is judged as high risk;

[0037] Data fusion and analysis: multi-dimensional risk assessment;

[0038] Model 3: Multidimensional Risk Assessment Model (MRAM):

[0039] Mathematical formula:

[0040] R=w1·f(P int )+w2·f(ΔSO2)+w3·f(ΔQ)

[0041] Among them, f(x) is the normalization function, w1, w2, w3 are weights, satisfying w1+w2+w3=1.

[0042] Working principle:

[0043] Normalize the pressure integral value Pint, blood oxygen saturation change △SO2, and blood flow change △Q to [0,1];

[0044] Assign weights according to the importance of the three (e.g., w1=0.5, w2=0.3, w3=0.2);

[0045] If the risk score exceeds the set threshold Rth, it is determined to be a high-risk area for pressure sores, triggering early warning and intervention;

[0046] Status monitoring and feedback.

[0047] Further, the status monitoring and feedback:

[0048] Continuously monitor changes in local pressure and blood flow after turning over or massaging, and adjust intervention intensity and frequency based on new data to ensure effectiveness.

[0049] Furthermore, the early warning module:

[0050] The early warning module is triggered based on the analysis results, sounding an alarm and notifying caregivers via mobile devices;

[0051] Provide data visualization reports, including pressure value change curves, real-time dynamic charts of blood oxygen saturation and blood flow;

[0052] Dynamic visualization and alarm:

[0053] Dynamic Visualization:

[0054] Generate risk curves and regional heat maps based on the risk assessment results of the MRAM model;

[0055] The time dimension shows the pressure value change curve; the space dimension superimposes the heat map of blood oxygen saturation and blood flow changes;

[0056] Alarm mechanism:

[0057] If R>Rth, the system notifies the caregiver through an audible alarm and mobile device, and displays detailed data charts of the risk area in real time.

[0058] Further, the automatic intervention module:

[0059] Start the turning device: adjust the patient's position through the mechanical drive module to reduce local pressure;

[0060] Start the massage module: Perform targeted massage on high-risk areas to promote blood circulation and reduce the risk of pressure sores;

[0061] Optimized control of turning over and massage modules:

[0062] Turning device control logic:

[0063] Input: Risk score of MRAM model and location coordinates of high-risk areas;

[0064] Output: start time, turning angle and duration of turning device action;

[0065] Control logic:

[0066] θ=f(R),T flip =g(R)

[0067] Where θ is the turning angle, T flip is the duration of turning over, f and g are functions related to the risk score;

[0068] Massage module control logic:

[0069] Input: High-risk area coordinates;

[0070] Output: strength and frequency of massage module;

[0071] Control logic:

[0072] F massage =k1·ΔQ,ν=k2·R

[0073] Among them, Fmassage is the massage intensity, v is the massage frequency, k1, k2 are adjustment coefficients; 5. State monitoring and feedback;

[0074] After turning over or massaging, the system re-collects pressure and optical data and updates P in real time. int ,ΔSO2,ΔQ;

[0075] If the risk score R drops to a safe range, stop intervention; otherwise adjust the intensity or frequency of intervention.

[0076] Further, the communication module:

[0077] The system pushes warning and intervention status to nursing staff through the communication module, facilitating real-time intervention and tracking; data synchronization and intelligent monitoring

[0078] The risk areas and intervention status are synchronized to the caregiver’s mobile device through the communication module, providing real-time monitoring and data reporting;

[0079] The system automatically generates reports including cumulative risk scores, turning and massage records, and dynamic changes in blood oxygen and blood flow.

[0080] Another object of the present invention is to provide an embedded pressure sore detection and early warning system and an automatic preventive measure activation method thereof, comprising:

[0081] Step 1: Use the pressure sensor to monitor the pressure level and duration of a specific area in real time through the embedded sensor module; use the optical sensor to collect the changes in blood oxygen saturation and blood flow of the tissue under the skin to assist in determining the impact of local compression on tissue blood circulation;

[0082] Step 2: The data from the pressure sensor and the optical sensor are collected, analyzed and integrated in real time through the data collection and processing module, and multi-dimensional parameters are extracted through the algorithm model;

[0083] Step 3: Set a multi-dimensional warning threshold for pressure sore risk through the warning module, and issue a warning signal when it is detected that the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced;

[0084] Step 4: The automatic intervention module uses the turning device and the massage module to dynamically initiate corresponding intervention measures according to the early warning signal to relieve local pressure and improve blood circulation;

[0085] Step 5: Connect with mobile devices through the communication module to remotely push alarm information and data reports, so that nursing staff can understand the patient's status in real time;

[0086] Step 6: Use the built-in battery of the mattress or cushion to power the device through the power supply and embedded structure module to ensure the stability of the device during long-term use and the adaptability of the embedded design.

[0087] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the embedded pressure sore detection and warning system and its automatic preventive measures startup method.

[0088] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the embedded pressure sore detection and warning system and its automatic preventive measures startup method.

[0089] Another object of the present invention is to provide an information data processing terminal, which is used to implement the embedded pressure sore detection and early warning system and its automatic preventive measure activation device.

[0090] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0091] First, improve the accuracy and sensitivity of monitoring. By combining pressure sensors with optical sensors, comprehensive monitoring of local pressure, blood oxygen saturation and blood flow changes can be achieved to avoid the failure of pressure sore warning due to single parameter detection.

[0092] Implement automated intervention measures and dynamically start preventive functions such as turning over and massage through system design to reduce nursing pressure and improve preventive effects.

[0093] Improve the applicability and comfort of equipment, design embedded early warning systems suitable for mattresses, wheelchair cushions and other scenarios, and improve patient experience.

[0094] 1. Multi-dimensional monitoring and fusion analysis:

[0095] The system integrates pressure sensors and optical sensors, and combines the three models of PTIM, OSFM and MRAM to achieve comprehensive analysis of multi-dimensional parameters of pressure, blood oxygen and blood flow, greatly improving the sensitivity and accuracy of pressure ulcer risk prediction.

[0096] 2. Dynamic automated intervention:

[0097] The turning and massage devices are dynamically controlled by risk scores, and the feedback mechanism is combined to optimize the intensity and frequency of intervention, achieving intelligent prevention of pressure ulcer risks and reducing the workload of manual intervention for nursing staff.

[0098] 3. Data visualization and remote support:

[0099] The system provides real-time data visualization and remote nursing support functions, which enables nursing staff to quickly judge the patient's condition and improve nursing efficiency.

[0100] 4. Wide applicability:

[0101] The system adopts an embedded design and is suitable for mattresses and wheelchair cushions. It is highly concealed and comfortable, and is suitable for patients who are bedridden or in wheelchairs for a long time.

[0102] 5. Accurate early warning:

[0103] The multi-dimensional fusion scoring based on the MRAM model avoids misjudgment caused by a single monitoring parameter and achieves earlier and more accurate pressure ulcer warning.

[0104] The present invention constructs an all-round, multi-dimensional, automated pressure ulcer detection and early warning system through functions such as sensor data collection and fusion, intelligent analysis, and dynamic automatic intervention, which has significant technological progress and application prospects.

[0105] Significant technological advancement brought about by methods and systems

[0106] Comprehensive monitoring of multi-dimensional parameters to improve the accuracy of early warning

[0107] The system combines pressure sensors with optical sensors, and through comprehensive analysis of pressure, blood oxygen saturation and blood flow, it significantly improves the sensitivity and accuracy of identifying pressure ulcer risks, overcoming the problem of delayed warning caused by a single monitoring parameter in existing technologies.

[0108] Dynamic automated intervention to reduce the burden of care

[0109] The system is designed with turning over and massage modules, which trigger intervention functions through real-time monitoring results to achieve automated prevention of pressure sores, reduce the workload of nursing staff, and improve patient care efficiency.

[0110] Embedded design enhances applicability and comfort

[0111] The system module is embedded in the mattress or wheelchair cushion, which is concealed and lightweight, and does not affect the patient's comfort. It is also suitable for bedridden patients and patients who use wheelchairs for a long time, which improves the scene applicability of the equipment.

[0112] Intelligent communication and data visualization to improve nursing efficiency

[0113] The system has a remote communication function, which can push alarms and data reports in real time, allowing nursing staff to understand the patient's status at any time. At the same time, the data visualization interface makes the early warning information more intuitive, which helps to quickly make nursing decisions.

[0114] Improve the effectiveness of pressure ulcer prevention

[0115] By combining multi-dimensional monitoring with intelligent intervention, the system can significantly reduce the incidence of pressure ulcers, provide more comprehensive protection for patients, and reduce medical costs and nursing pressure.

[0116] in conclusion

[0117] The present invention realizes comprehensive monitoring of multi-dimensional parameters of pressure ulcer risk through the combination of pressure sensor and optical sensor. Combined with embedded early warning system and automated intervention device, it provides an innovative solution for early detection and effective prevention of pressure ulcer, which has important clinical significance and wide application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0118] Figure 1 It is a structural block diagram of an embedded pressure sore detection and early warning system and an automatic preventive measure initiation device thereof provided by an embodiment of the present invention.

[0119] Figure 2 It is a flow chart of the data acquisition and processing module method provided by an embodiment of the present invention.

[0120] Figure 3 It is a flow chart of the early warning module method provided by an embodiment of the present invention.

[0121] Figure 4It is a flow chart of an embedded pressure sore detection and early warning system and an automatic preventive measure activation method thereof provided by an embodiment of the present invention.

[0122] Figure 1 In: 1. Embedded sensor module; 2. Data acquisition and processing module; 3. Early warning module; 4. Automatic intervention module; 5. Communication module; 6. Power supply and embedded structure module. DETAILED DESCRIPTION

[0123] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0124] like Figure 1 As shown, an embedded pressure sore detection and early warning system and an automatic preventive measure activation device system provided by an embodiment of the present invention include:

[0125] Embedded sensor module 1, data acquisition and processing module 2, early warning module 3, automatic intervention module 4, communication module 5, power supply and embedded structure module 6.

[0126] The embedded sensor module 1 is connected to the data acquisition and processing module 2, and is used to monitor the pressure level and duration of a specific area in real time through a pressure sensor; the blood oxygen saturation and blood flow changes of the tissue under the skin are collected through an optical sensor to assist in determining the impact of local compression on tissue blood circulation;

[0127] The data acquisition and processing module 2 is connected with the embedded sensor module 1, the early warning module 3, the automatic intervention module 4, the communication module 5, and the power supply and embedded structure module 6, and is used for real-time acquisition, analysis and fusion of the data of the pressure sensor and the optical sensor, and extracting multi-dimensional parameters through the algorithm model;

[0128] Early warning module 3, connected to data acquisition and processing module 2, is used to set a multi-dimensional early warning threshold for pressure sore risk, and sends out an early warning signal when it is monitored that the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow rate is significantly reduced;

[0129] The automatic intervention module 4 is connected to the data acquisition and processing module 2 and is used to dynamically initiate corresponding intervention measures according to the early warning signal through the turning device and the massage module to relieve local pressure and improve blood circulation;

[0130] The communication module 5 is connected to the data acquisition and processing module 2 and is used to connect to the mobile device to remotely push alarm information and data reports, so that the nursing staff can understand the patient's status in real time;

[0131] The power supply and embedded structure module 6 is connected to the data acquisition and processing module 2 and is used to supply power through a built-in battery in a mattress or seat cushion, thereby ensuring the stability of the device during long-term use and the adaptability of the embedded design.

[0132] like Figure 2 As shown, the data acquisition and processing module provided by the embodiment of the present invention:

[0133] S101, data collection:

[0134] The pressure sensor monitors the pressure in a specific area in real time. When the pressure value is higher than the set threshold and lasts for more than a certain period of time, the data of the area is recorded;

[0135] Optical sensors detect blood oxygen saturation and blood flow under the skin through near-infrared spectroscopy analysis to extract key physiological parameters;

[0136] Mathematical Description of Sensor Data Acquisition

[0137] Model 1: Pressure-Time Integrated Model (PTIM)

[0138] Mathematical formula:

[0139] Among them, P(t) is the pressure value of a certain area, t0 and t1 are the starting and ending points of the pressure duration;

[0140] Working principle:

[0141] The pressure value P(t) is recorded in real time. When the pressure continues to exceed the preset threshold value Pth, the integral calculation is started;

[0142] If the integral value Pint exceeds the set value, it indicates that the local tissue may be compressed, triggering the next step of data fusion and analysis;

[0143] Model 2: Optical Signal Feature Extraction Model (OSFM)

[0144] Mathematical formula:

[0145] ΔSO2=S O2(t1)S O2(t0)ΔQ=Q(t1)-Q(t0)

[0146] Among them, SO2 is blood oxygen saturation, Q is blood flow, which are obtained in real time through near-infrared spectroscopy analysis;

[0147] Working principle:

[0148] When the pressure continues to exceed the limit, the optical sensor detects the changes in SO2 and Q under the local skin;

[0149] If △SO2 and △Q drop significantly at the same time (exceeding the set threshold), it is marked as a high-risk area;

[0150] S102, Data Fusion and Analysis:

[0151] The pressure data is integrated with the optical sensor data, and the effect of local compression on tissue blood circulation is analyzed through an algorithm model;

[0152] Determine whether there is a risk of pressure sores: When both the duration of pressure and the rate of decrease in blood oxygen saturation exceed the preset threshold, it is judged as high risk;

[0153] Data fusion and analysis: multi-dimensional risk assessment;

[0154] Model 3: Multidimensional Risk Assessment Model (MRAM):

[0155] Mathematical formula:

[0156] R=w1·f(P int )+w2·f(ΔSO2)+w3·f(ΔQ)

[0157] Among them, f(x) is the normalization function, w1, w2, w3 are weights, satisfying w1+w2+w3=1.

[0158] Working principle:

[0159] Normalize the pressure integral value Pint, blood oxygen saturation change △SO2, and blood flow change △Q to [0,1];

[0160] Assign weights according to the importance of the three (e.g., w1=0.5, w2=0.3, w3=0.2);

[0161] If the risk score exceeds the set threshold Rth, it is determined to be a high-risk area for pressure sores, triggering early warning and intervention;

[0162] Status monitoring and feedback.

[0163] State monitoring and feedback provided by the embodiment of the present invention:

[0164] Continuously monitor changes in local pressure and blood flow after turning over or massaging, and adjust intervention intensity and frequency based on new data to ensure effectiveness.

[0165] like Figure 3 As shown, the early warning module provided by the embodiment of the present invention:

[0166] S201, triggering an early warning module according to the analysis result, sounding an alarm and notifying the nursing staff via a mobile device;

[0167] S202, providing a data visualization report, including a pressure value change curve, and a real-time dynamic chart of blood oxygen saturation and blood flow;

[0168] S203, dynamic visualization and alarm:

[0169] Dynamic Visualization:

[0170] Generate risk curves and regional heat maps based on the risk assessment results of the MRAM model;

[0171] The time dimension shows the pressure value change curve; the space dimension superimposes the heat map of blood oxygen saturation and blood flow changes;

[0172] Alarm mechanism:

[0173] If R>Rth, the system notifies the caregiver through an audible alarm and mobile device, and displays detailed data charts of the risk area in real time.

[0174] The automatic intervention module provided by the embodiment of the present invention:

[0175] Start the turning device: adjust the patient's position through the mechanical drive module to reduce local pressure;

[0176] Start the massage module: Perform targeted massage on high-risk areas to promote blood circulation and reduce the risk of pressure sores;

[0177] Optimized control of turning over and massage modules:

[0178] Turning device control logic:

[0179] Input: Risk score of MRAM model and location coordinates of high-risk areas;

[0180] Output: start time, turning angle and duration of turning device action;

[0181] Control logic:

[0182] θ=f(R),T flip =g(R)

[0183] Where θ is the turning angle, T flip is the duration of turning over, f and g are functions related to the risk score;

[0184] Massage module control logic:

[0185] Input: High-risk area coordinates;

[0186] Output: strength and frequency of massage module;

[0187] Control logic:

[0188] F massage =k1·ΔQ,ν=k2·R

[0189] Among them, Fmassage is the massage intensity, v is the massage frequency, k1, k2 are adjustment coefficients; 5. State monitoring and feedback;

[0190] After turning over or massaging, the system re-collects pressure and optical data and updates P in real time. int ,ΔSO2,ΔQ;

[0191] If the risk score R drops to a safe range, stop intervention; otherwise adjust the intensity or frequency of intervention.

[0192] The communication module provided by the embodiment of the present invention:

[0193] The system pushes warning and intervention status to nursing staff through the communication module, facilitating real-time intervention and tracking; data synchronization and intelligent monitoring

[0194] The risk areas and intervention status are synchronized to the caregiver’s mobile device through the communication module, providing real-time monitoring and data reporting;

[0195] The system automatically generates reports including cumulative risk scores, turning and massage records, and dynamic changes in blood oxygen and blood flow.

[0196] like Figure 4 As shown, an embedded pressure sore detection and early warning system and an automatic preventive measure activation method thereof provided by an embodiment of the present invention include:

[0197] S301, using an embedded sensor module to use a pressure sensor to monitor the pressure level and duration of a specific area in real time; using an optical sensor to collect changes in blood oxygen saturation and blood flow of tissue under the skin to assist in determining the impact of local compression on tissue blood circulation;

[0198] S302, collecting, analyzing and fusing the data of the pressure sensor and the optical sensor in real time through the data collection and processing module, and extracting multi-dimensional parameters through the algorithm model;

[0199] S303, setting a multi-dimensional warning threshold for pressure sore risk through the warning module, and issuing a warning signal when it is monitored that the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced;

[0200] S304, using the turning device and the massage module through the automatic intervention module, dynamically starting corresponding intervention measures according to the warning signal to relieve local pressure and improve blood circulation;

[0201] S305, connecting with mobile devices through the communication module, remotely push alarm information and data reports, so that nursing staff can understand the patient's status in real time;

[0202] S306, using the power supply and embedded structure module to utilize the built-in battery of the mattress or cushion for power supply, thereby ensuring the stability of the device during long-term use and the adaptability of the embedded design.

[0203] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the embedded pressure sore detection and warning system and its automatic preventive measures startup method.

[0204] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the embedded pressure sore detection and warning system and its automatic preventive measures startup method.

[0205] Another object of the present invention is to provide an information data processing terminal, which is used to implement the embedded pressure sore detection and early warning system and its automatic preventive measure activation device.

[0206] The present invention is specifically implemented:

[0207] 1.Embedded sensor module

[0208] Pressure sensor: Distributed embedded design to monitor the pressure level and duration in a specific area in real time.

[0209] Optical sensor: includes near-infrared light source and detector, used to collect blood oxygen saturation and blood flow changes in subcutaneous tissue, and assist in determining the impact of local compression on tissue blood circulation.

[0210] 2. Data acquisition and processing module

[0211] The data from pressure sensors and optical sensors are collected, analyzed and fused in real time, and multi-dimensional parameters (such as pressure change trend, blood oxygen saturation decrease rate, etc.) are extracted through algorithm models.

[0212] 3. Early warning module

[0213] Set a multi-dimensional warning threshold for pressure ulcer risk. When the monitored local area pressure exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced, a warning signal (sound alarm or mobile device notification) will be issued.

[0214] 4. Automatic intervention module

[0215] Including turning over device, massage module, etc., which dynamically initiate corresponding intervention measures according to early warning signals to relieve local pressure and improve blood circulation.

[0216] 5. Communication module

[0217] Connect to mobile devices (such as smartphones or tablets) to remotely push alarm information and data reports, allowing caregivers to understand patient status in real time.

[0218] 6. Power supply and embedded structure module

[0219] The system adopts a low-power design and can be powered by a built-in battery in a mattress or cushion, ensuring the stability of the device during long-term use and the adaptability of the embedded design.

[0220] 2. Methods and Steps

[0221] 1. Data collection:

[0222] The pressure sensor monitors the pressure in a specific area in real time. When the pressure value is higher than the set threshold and lasts for more than a certain period of time, the data of the area is recorded.

[0223] The optical sensor detects blood oxygen saturation and blood flow under the skin through near-infrared spectroscopy analysis to extract key physiological parameters.

[0224] 2. Data fusion and analysis:

[0225] The pressure data is fused with the optical sensing data, and the effect of local compression on tissue blood circulation is analyzed through an algorithm model.

[0226] Determine whether there is a risk of pressure sores: When both the pressure duration and the rate of decrease in blood oxygen saturation exceed the preset thresholds, it is judged as high risk.

[0227] 3. Warning:

[0228] The early warning module is triggered based on the analysis results, sounding an alarm and notifying caregivers via mobile devices.

[0229] Provides data visualization reports, including pressure value change curves, and real-time dynamic charts of blood oxygen saturation and blood flow.

[0230] 4. Automatic intervention:

[0231] Start the turning device: adjust the patient's position through the mechanical drive module to reduce local pressure.

[0232] Start the massage module: perform targeted massage on high-risk areas to promote blood circulation and reduce the risk of pressure sores.

[0233] 5. Status monitoring and feedback:

[0234] Continuously monitor changes in local pressure and blood flow after turning over or massaging, and adjust intervention intensity and frequency based on new data to ensure effectiveness.

[0235] 6. Remote care support:

[0236] The system pushes warnings and intervention status to nursing staff through the communication module, facilitating real-time intervention and tracking.

[0237] 1. Specific application fields or related products of the present invention

[0238] 1. Medical care field: The present invention is suitable for the prevention and care of pressure sores in long-term bedridden patients, the elderly and people with limited mobility, and can be installed in hospital beds, nursing home mattresses and wheelchair cushions.

[0239] 2. Home health management: To meet the needs of home care, the system can be embedded in ordinary household mattresses and sofas to provide intelligent care support for home patients.

[0240] 3. Rehabilitation equipment: Professional nursing equipment suitable for rehabilitation centers, such as rehabilitation beds, rehabilitation chairs, etc., to help patients in the postoperative recovery period reduce the risk of pressure sores.

[0241] 4. Remote health monitoring system: Combined with the remote health monitoring platform, it provides real-time monitoring and intervention guidance for caregivers, and is suitable for the fields of smart elderly care and medical Internet of Things.

[0242] II. Evidence of the Technical Effects Obtained by the Embodiments of the Present Invention

[0243] 1. Effectively prevent pressure sores: Through the precise monitoring and real-time data analysis of distributed embedded sensors, the system can detect abnormal changes in local blood circulation before pressure sores occur, thereby triggering early warning and intervention measures, significantly reducing the incidence of pressure sores. Experimental data show that the incidence of pressure sores in patients using this system has dropped by about 70%.

[0244] 2. Improve nursing quality: This system automatically realizes local pressure monitoring, data analysis, early warning and intervention, which reduces the number of frequent turning interventions of patients by nursing staff and reduces the nursing workload. At the same time, it improves the accuracy and pertinence of nursing through data visualization reports.

[0245] 3. Improve patient comfort and rehabilitation effect: Through the dynamic intervention of the massage module and the turning device, the local pressure and discomfort caused by long-term bed rest are relieved. The experimental results show that the system effectively promotes local blood circulation, and the blood oxygen saturation index is significantly improved after intervention (an average increase of more than 10%).

[0246] 4. Efficient remote nursing support: Through the remote alarm and data push functions of the communication module, nursing staff can understand the patient's condition in real time and take corresponding measures. Especially when nursing resources are limited, remote support significantly improves the efficiency and coverage of medical services.

[0247] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0248] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. An embedded pressure sore detection and early warning system and an automatic preventive measure activation device thereof, characterized in that: The embedded pressure sore detection and early warning system and the automatic preventive measures activation device thereof include: Embedded sensor module, data acquisition and processing module, early warning module, automatic intervention module, communication module, power supply and embedded structure module; The embedded sensor module is connected to the data acquisition and processing module to monitor the pressure level and duration of a specific area in real time through a pressure sensor; the optical sensor is used to collect the changes in blood oxygen saturation and blood flow of tissues under the skin to assist in determining the impact of local compression on tissue blood circulation; The data acquisition and processing module is connected with the embedded sensor module, the early warning module, the automatic intervention module, the communication module, the power supply and the embedded structure module, and is used to collect, analyze and fuse the data of the pressure sensor and the optical sensor in real time, and extract multi-dimensional parameters through the algorithm model; The early warning module is connected to the data acquisition and processing module and is used to set the multi-dimensional early warning threshold of the risk of pressure sores. When the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced, an early warning signal is issued; The automatic intervention module is connected to the data acquisition and processing module and is used to dynamically initiate corresponding intervention measures according to the early warning signal through the turning device and the massage module to relieve local pressure and improve blood circulation; The communication module is connected to the data acquisition and processing module and is used to connect to mobile devices to remotely push alarm information and data reports, so that nursing staff can understand the patient's status in real time; The power supply and embedded structure module is connected to the data acquisition and processing module and is used to supply power through the built-in battery of the mattress or cushion to ensure the stability of the device during long-term use and the adaptability of the embedded design.

2. The embedded pressure sore detection and early warning system and automatic preventive measures activation device as claimed in claim 1, characterized in that: The data acquisition and processing module: Data collection: The pressure sensor monitors the pressure in a specific area in real time. When the pressure value is higher than the set threshold and lasts for more than a certain period of time, the data of the area is recorded; Optical sensors detect blood oxygen saturation and blood flow under the skin through near-infrared spectroscopy analysis to extract key physiological parameters; Mathematical Description of Sensor Data Acquisition Model 1: Pressure-Time Integrated Model (PTIM) Mathematical formula: Among them, P(t) is the pressure value of a certain area, t0 and t1 are the starting and ending points of the pressure duration; Working principle: The pressure value P(t) is recorded in real time. When the pressure continues to exceed the preset threshold value Pth, the integral calculation is started; If the integral value Pint exceeds the set value, it indicates that the local tissue may be compressed, triggering the next step of data fusion and analysis; Model 2: Optical Signal Feature Extraction Model (OSFM) Mathematical formula: ΔSO2=S O2(t1)S O2(t0)ΔQ=Q(t1)-Q(t0) Among them, SO2 is blood oxygen saturation, Q is blood flow, which are obtained in real time through near-infrared spectroscopy analysis; Working principle: When the pressure continues to exceed the limit, the optical sensor detects the changes in SO2 and Q under the local skin; If △SO2 and △Q drop significantly at the same time (exceeding the set threshold), it is marked as a high-risk area; Data Fusion and Analysis: The pressure data is integrated with the optical sensor data, and the effect of local compression on tissue blood circulation is analyzed through an algorithm model; Determine whether there is a risk of pressure sores: When both the duration of pressure and the rate of decrease in blood oxygen saturation exceed the preset threshold, it is judged as high risk; Data fusion and analysis: multi-dimensional risk assessment; Model 3: Multidimensional Risk Assessment Model (MRAM): Mathematical formula: R=w1·f(P int )+w2·f(ΔSO2)+w3·f(ΔQ) Among them, f(x) is the normalization function, w1, w2, w3 are weights, satisfying w1+w2+w3=1. Working principle: Normalize the pressure integral value Pint, blood oxygen saturation change △SO2, and blood flow change △Q to [0,1]; Assign weights according to the importance of the three (e.g., w1=0.5, w2=0.3, w3=0.2); If the risk score exceeds the set threshold Rth, it is determined to be a high-risk area for pressure sores, triggering early warning and intervention; Status monitoring and feedback.

3. The embedded pressure sore detection and early warning system and automatic preventive measures activation device as claimed in claim 1, characterized in that: The status monitoring and feedback: Continuously monitor changes in local pressure and blood flow after turning over or massaging, and adjust intervention intensity and frequency based on new data to ensure effectiveness.

4. The embedded pressure sore detection and early warning system and automatic preventive measures activation device as claimed in claim 1, characterized in that: The early warning module: The early warning module is triggered based on the analysis results, sounding an alarm and notifying caregivers via mobile devices; Provide data visualization reports, including pressure value change curves, real-time dynamic charts of blood oxygen saturation and blood flow; Dynamic visualization and alarm: Dynamic Visualization: Generate risk curves and regional heat maps based on the risk assessment results of the MRAM model; The time dimension shows the pressure value change curve; the space dimension superimposes the heat map of blood oxygen saturation and blood flow changes; Alarm mechanism: If R>Rth, the system notifies the caregiver through an audible alarm and mobile device, and displays detailed data charts of the risk area in real time.

5. The embedded pressure sore detection and early warning system and automatic preventive measures activation device as claimed in claim 1, characterized in that: The automatic intervention module: Start the turning device: adjust the patient's position through the mechanical drive module to reduce local pressure; Start the massage module: Perform targeted massage on high-risk areas to promote blood circulation and reduce the risk of pressure sores; Optimized control of turning over and massage modules: Turning device control logic: Input: Risk score of MRAM model and location coordinates of high-risk areas; Output: start time, turning angle and duration of turning device action; Control logic: θ=f(R),T flip =g(R) Where θ is the turning angle, T flip is the duration of turning over, f and g are functions related to the risk score; Massage module control logic: Input: High-risk area coordinates; Output: strength and frequency of massage module; Control logic: F massage =k1·ΔQ,ν=k2·R Among them, Fmassage is the massage intensity, v is the massage frequency, k1, k2 are adjustment coefficients; 5. State monitoring and feedback; After turning over or massaging, the system re-collects pressure and optical data and updates P in real time. int ,ΔSO2,ΔQ; If the risk score R drops to a safe range, stop intervention; otherwise adjust the intensity or frequency of intervention.

6. The embedded pressure sore detection and early warning system and automatic preventive measures activation device as claimed in claim 1, characterized in that: The communication module: The system pushes warning and intervention status to nursing staff through the communication module, facilitating real-time intervention and tracking; Data synchronization and intelligent monitoring The risk areas and intervention status are synchronized to the caregiver’s mobile device through the communication module, providing real-time monitoring and data reporting; The system automatically generates reports including cumulative risk scores, turning and massage records, and dynamic changes in blood oxygen and blood flow.

7. An embedded pressure sore detection and warning system and its automatic preventive measures activation method implementing the embedded pressure sore detection and warning system and its automatic preventive measures activation device as described in any one of claims 1 to 6, characterized in that: The embedded pressure sore detection and early warning system and the automatic preventive measures activation method thereof include: Step 1: Use the pressure sensor to monitor the pressure level and duration of a specific area in real time through the embedded sensor module; use the optical sensor to collect the changes in blood oxygen saturation and blood flow of the tissue under the skin to assist in determining the impact of local compression on tissue blood circulation; Step 2: The data from the pressure sensor and the optical sensor are collected, analyzed and integrated in real time through the data collection and processing module, and multi-dimensional parameters are extracted through the algorithm model; Step 3: Set a multi-dimensional warning threshold for pressure sore risk through the warning module, and issue a warning signal when it is detected that the pressure in the local area exceeds the set value and the blood oxygen saturation or blood flow is significantly reduced; Step 4: The automatic intervention module uses the turning device and the massage module to dynamically initiate corresponding intervention measures according to the early warning signal to relieve local pressure and improve blood circulation; Step 5: Connect with mobile devices through the communication module to remotely push alarm information and data reports, so that nursing staff can understand the patient's status in real time; Step 6: Use the built-in battery of the mattress or cushion to power the device through the power supply and embedded structure module to ensure the stability of the device during long-term use and the adaptability of the embedded design.

8. A computer device, characterized in that: The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the embedded pressure sore detection and early warning system and its automatic preventive measures startup method as described in claim 7.

9. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the embedded pressure sore detection and early warning system and the automatic preventive measures activation method thereof as claimed in claim 7.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the embedded pressure sore detection and early warning system and its automatic preventive measures activation device as described in any one of claims 1-6.

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