A wound infection monitoring and early warning system based on graphene sensor

Abstract

The present application provides a wound infection monitoring and early warning system based on a graphene sensor, comprising the following units: a graphene sensing unit, a data acquisition unit, a main control unit, a wireless communication unit, and a display unit; the system obtains the temperature, pH value and wound exudate of the wound, the physical index information and basic disease information of the target object; determines the physical condition information of the target object according to the physical index information and basic disease information of the target object; compares and analyzes the temperature, pH value and wound exudate with a preset threshold interval, and determines the infection condition of the wound according to the physical condition information of the target object and the comparison and analysis results; generates wound infection early warning information according to the infection condition of the wound, and displays the infection early warning information according to a preset method; the present invention monitors the infection condition of the wound, promptly discovers the abnormal condition of the wound and issues an early warning, thereby ensuring the treatment effect.

Description

Technical Field

[0001] The present invention relates to the field of wound microenvironment monitoring, and more specifically, to a wound infection monitoring and early warning system based on a graphene sensor. Background Art

[0002] With the rapid development of science and technology and the transformation of modern medical models, wearable medical monitoring devices have entered people's sight. At the same time, higher requirements are put forward for the miniaturization and intelligentization of wearable medical monitoring devices. Wearable physiological parameter monitoring uses miniaturized, intelligent, and high-precision sensor units to collect human physiological parameters, which puts forward extensive demands on the underlying sensor units. Graphene flexible strain sensor units have become an important development direction of flexible strain sensor units with their advantages of low cost, simple preparation, and excellent performance. In wearable medical monitoring devices, wound monitoring has always been the focus of attention. As the largest organ of the human body, the skin has important functions such as regulating human body temperature, protecting internal organs from external invasion, and providing a physical barrier for pathogens and microorganisms. However, due to various factors, the skin will be damaged and produce acute and chronic wounds. Compared with acute wounds, chronic wounds will stagnate in the inflammatory stage, accompanied by a large amount of wound exudate, severe infection, pain, and tissue necrosis.

[0003] In order to use the graphene flexible strain sensor unit to monitor the wound infection process, a system needs to be developed to cooperate with it. The system obtains the temperature and pH value of the wound through the graphene sensor unit, and obtains the target object's physical index information and basic disease information. The infection status of the wound is judged according to the preset alarm threshold range where the temperature and pH value fall. At the same time, the exudate volume is evaluated according to the target object's wound exudate and the target object's physical condition information, and different levels of early warning information are generated, and the early warning information is displayed according to the preset method. In the process of implementing the system, how to collect data changes in the wound microenvironment through the graphene sensor unit to achieve real-time monitoring of the wound is an urgent problem that needs to be solved. Summary of the invention

[0004] In order to solve at least one of the above technical problems, the present invention proposes a wound infection monitoring and early warning system based on graphene sensors.

[0005] The first aspect of the present invention provides a wound infection monitoring system based on a graphene sensor, comprising the following units: a graphene sensing unit, a data acquisition unit, a main control unit, a wireless communication unit, and a display unit;

[0006] The graphene sensor unit is used to obtain the temperature, pH value and wound exudate of the wound;

[0007] The data acquisition unit is used to acquire the target object's physical index information and basic disease information;

[0008] The main control unit is used to determine the physical condition information of the target object based on the physical indicator information and basic disease information of the target object, compare and analyze the temperature, pH value and wound exudate with a preset threshold range, judge the infection status of the wound based on the physical condition information of the target object and the comparison and analysis results, and generate wound infection warning information based on the infection status of the wound.

[0009] The wireless communication unit is used for data transmission between the graphene sensor unit and the main control unit;

[0010] The display unit is used to display the infection warning information generated by the main control unit.

[0011] In this solution, the graphene sensing unit includes a graphene temperature strain sensor, a graphene pH electrochemical sensor and a graphene exudate sensor.

[0012] In this solution, the target object's physical indicator information includes: blood sugar information, blood pressure information, body temperature information, heart rate information, one or a combination of two or more.

[0013] In this solution, the main control unit compares and analyzes the temperature, pH value and wound exudate with the preset threshold range, wherein the comparison and analysis of the pH value is specifically as follows:

[0014] Determine the wound type according to the target object's physical condition information and wound condition, and determine whether the pH value detected by the graphene sensor unit reaches a preset alarm threshold range according to the wound type;

[0015] If the pH value is greater than the preset alarm threshold, the corresponding time point of the pH value is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0016] If the pH value gradually increases over time during the key detection process, a wound infection warning message is generated, and the warning message is displayed in a preset manner;

[0017] The wound types include acute wounds and chronic wounds; the preset alarm threshold interval includes an acute wound alarm threshold interval and a chronic wound alarm threshold interval, and the preset alarm threshold interval can be adaptively changed according to the infection condition of the wound and the change of the wound type.

[0018] In this solution, the main control unit compares and analyzes the temperature, pH value and wound exudate with the preset threshold range, wherein the temperature comparison analysis is specifically as follows:

[0019] Acquiring skin temperature information of a symmetrical side of a wound of the target object through the body index information of the target object;

[0020] Performing difference processing on the temperature monitored by the graphene sensor unit and the skin temperature information at the symmetrical side position to generate a temperature difference, and presetting a temperature difference threshold;

[0021] Determining whether the temperature difference is greater than the temperature difference threshold;

[0022] If it is greater than, the time point corresponding to the temperature is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0023] If the temperature gradually increases over time during the key detection process, it proves that the wound is at risk of infection. Combined with the pH value monitoring of the wound, a clinical judgment is made to generate infection warning information, and the infection warning information is displayed in a preset manner.

[0024] This solution also includes: evaluating the amount of exudate according to the wound exudate situation of the target object and the physical condition information of the target object, specifically:

[0025] Obtaining the wound exudate volume within a preset time according to the wetness of the graphene sensor unit;

[0026] Preset a wound exudate volume threshold based on wound type and target subject's physical condition information;

[0027] Determining whether the wound exudate volume within a preset time is greater than a preset wound exudate volume threshold;

[0028] If it is greater than, an exudate alarm message is generated, and the temperature and pH value of the wound after exudation are monitored. If the temperature and pH value increase significantly, an infection warning message is generated, and the infection warning message is displayed in a preset manner, and a recommendation for the use of an exudate collection bag is generated.

[0029] In this solution, the host unit is provided with a data storage module, and the data acquired by the graphene sensor unit is stored in the health database of the data storage module, specifically:

[0030] The graphene sensor unit acquires temperature and pH value to establish a time sequence detection sequence according to the detection time, and establishes a temperature monitoring curve and a pH value monitoring curve according to the time sequence monitoring sequence;

[0031] Perform cutting analysis on the temperature monitoring curve and the pH value monitoring curve, and remove abnormal monitoring data;

[0032] The segmented curves after cutting are subjected to polymerization simulation to obtain new temperature monitoring curves and pH value monitoring curves;

[0033] If the target user's wound is a chronic wound, a health database is established based on the monitoring curve and the target user's physical condition information to provide a basis for the target user's subsequent treatment.

[0034] The second aspect of the present invention also provides a wound infection monitoring and early warning method based on a graphene sensor, comprising:

[0035] Obtain the temperature, pH value and wound exudate of the wound, the target object's physical index information and basic disease information;

[0036] Determine the target object's physical condition information based on the target object's physical indicator information and basic disease information;

[0037] Comparing and analyzing the temperature, pH value and wound exudate with a preset threshold range, and determining the infection status of the wound according to the physical condition information of the target subject and the comparative analysis results;

[0038] Generating wound infection warning information according to the infection status of the wound, and displaying the infection warning information according to a preset method;

[0039] The temperature, pH value and wound exudate of the wound are obtained through a graphene sensor unit.

[0040] In this solution, the graphene sensing unit includes a graphene temperature strain sensor, a graphene pH electrochemical sensor and a graphene exudate sensor.

[0041] In this solution, the target object's physical indicator information includes: blood sugar information, blood pressure information, body temperature information, heart rate information, one or a combination of two or more.

[0042] In this solution, the temperature, pH value and wound exudate are compared and analyzed with the preset threshold range, wherein the comparison and analysis of the pH value is specifically as follows:

[0043] Determine the wound type according to the target object's physical condition information and wound condition, and determine whether the pH value detected by the graphene sensor unit reaches a preset alarm threshold range according to the wound type;

[0044] If the pH value is greater than the preset alarm threshold, the corresponding time point of the pH value is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0045] If the pH value gradually increases over time during the key detection process, a wound infection warning message is generated, and the warning message is displayed in a preset manner;

[0046] The wound types include acute wounds and chronic wounds; the preset alarm threshold interval includes an acute wound alarm threshold interval and a chronic wound alarm threshold interval, and the preset alarm threshold interval can be adaptively changed according to the infection condition of the wound and the change of the wound type.

[0047] In this solution, the temperature and pH value are compared and analyzed with the preset alarm threshold range, wherein the temperature comparison analysis is specifically:

[0048] Acquiring skin temperature information of a symmetrical side of a wound of the target object through the body index information of the target object;

[0049] Performing difference processing on the temperature monitored by the graphene sensor unit and the skin temperature information at the symmetrical side position to generate a temperature difference, and presetting a temperature difference threshold;

[0050] Determining whether the temperature difference is greater than the temperature difference threshold;

[0051] If it is greater than, the time point corresponding to the temperature is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0052] If the temperature gradually increases over time during the key detection process, it proves that the wound is at risk of infection. Combined with the pH value monitoring of the wound, a clinical judgment is made to generate infection warning information, and the infection warning information is displayed in a preset manner.

[0053] This solution also includes evaluating the amount of exudate according to the wound exudate condition of the target subject and the physical condition information of the target subject, specifically:

[0054] Obtaining the wound exudate volume within a preset time according to the wetness of the graphene sensor unit;

[0055] Preset a wound exudate volume threshold based on wound type and target subject's physical condition information;

[0056] Determining whether the wound exudate volume within a preset time is greater than a preset wound exudate volume threshold;

[0057] If it is greater than, an exudate alarm message is generated, and the temperature and pH value of the wound after exudation are monitored. If the temperature and pH value increase significantly, an infection warning message is generated, and the infection warning message is displayed in a preset manner, and a recommendation for the use of an exudate collection bag is generated.

[0058] This plan also includes:

[0059] The graphene sensor unit acquires temperature and pH value to establish a time sequence detection sequence according to the detection time, and establishes a temperature monitoring curve and a pH value monitoring curve according to the time sequence monitoring sequence;

[0060] Perform cutting analysis on the temperature monitoring curve and the pH value monitoring curve, and remove abnormal monitoring data;

[0061] The segmented curves after cutting are subjected to polymerization simulation to obtain new temperature monitoring curves and pH value monitoring curves;

[0062] If the target user's wound is a chronic wound, a health database is established based on the monitoring curve and the target user's physical condition information to provide a basis for the target user's subsequent treatment.

[0063] The present application provides a wound infection monitoring and early warning system based on a graphene sensor, comprising the following units: a graphene sensing unit, a data acquisition unit, a main control unit, a wireless communication unit, and a display unit; the system obtains the temperature, pH value and wound exudate of the wound, the physical index information and basic disease information of the target object; determines the physical condition information of the target object according to the physical index information and basic disease information of the target object; compares and analyzes the temperature, pH value and wound exudate with a preset threshold interval, and determines the infection condition of the wound according to the physical condition information of the target object and the comparison and analysis results; generates wound infection early warning information according to the infection condition of the wound, and displays the infection early warning information according to a preset method; the present invention monitors the infection condition of the wound, promptly discovers the abnormal condition of the wound and issues an early warning, thereby ensuring the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A block diagram of a wound infection monitoring and early warning system based on a graphene sensor of the present invention is shown;

[0065] Figure 2 A flow chart showing the main control unit of the present invention analyzing the acquired pH value;

[0066] Figure 3 A flow chart showing the main control unit of the present invention analyzing the acquired temperature;

[0067] Figure 4 A simplified diagram of a graphene detection unit in the present invention is shown;

[0068] Specifically: 411 - graphene temperature strain sensor, 412 - graphene pH electrochemical sensor, 413 - graphene exudate sensor, 414 - PDMS flexible substrate. DETAILED DESCRIPTION

[0069] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0070] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0071] Figure 1 A block diagram of a wound infection monitoring and early warning system based on a graphene sensor of the present invention is shown.

[0072] The first aspect of the present invention provides a wound infection monitoring system based on a graphene sensor, comprising the following units: a graphene sensing unit 10, a data acquisition unit 20, a main control unit 30, a wireless communication unit 40, and a display unit 50;

[0073] The graphene sensor unit 10 is used to obtain the temperature, pH value and wound exudate of the wound;

[0074] The data acquisition unit 20 is used to acquire the target object's physical index information and basic disease information;

[0075] The main control unit 30 is used to determine the physical condition information of the target object based on the physical indicator information and basic disease information of the target object, compare and analyze the temperature, pH value and wound exudate with a preset threshold range, judge the infection status of the wound based on the physical condition information of the target object and the comparison and analysis results, and generate wound infection warning information based on the infection status of the wound.

[0076] The wireless communication unit 40 is used for data transmission between the graphene sensor unit 10 and the main control unit 30;

[0077] The display unit 50 is used to display the infection warning information generated by the main control unit 30.

[0078] It should be noted that if Figure 4As shown, the graphene sensing unit 10 includes a graphene temperature strain sensor 411, a graphene PH electrochemical sensor 412, a graphene exudate sensor 413, and a PDMS flexible substrate 414. The graphene temperature strain sensor 411, the graphene PH electrochemical sensor 412, and the graphene exudate sensor 413 are placed on the PDMS flexible substrate 414. The graphene temperature strain sensor 411 is a laser-induced graphene film plated with a copper film. The graphene PH electrochemical sensor 412 includes a PH sensing electrode, the surface of which is coated with an aniline oligomer and a graphene composite material. The graphene exudate sensor 413 is a graphene and carbon nanotube composite film, and the film includes a graphene film layer and a carbon nanotube film layer sequentially arranged along the thickness direction. The graphene temperature strain sensor reacts to temperature changes through copper resistance changes, the graphene pH electrochemical sensor reacts to pH changes through aniline oligomer reaction potential difference, and the graphene exudate sensor detects the exudate volume by reacting to the wetness of the film through nanotube resistance changes.

[0079] It should be noted that the physical indicator information of the target object includes: blood sugar information, blood pressure information, body temperature information, heart rate information, one or a combination of two or more.

[0080] Figure 2 The flowchart of the main control unit of the present invention analyzing the acquired pH value is shown.

[0081] According to an embodiment of the present invention, the main control unit compares and analyzes the temperature, pH value and wound exudate with a preset threshold range, wherein the comparison and analysis of the pH value is specifically as follows:

[0082] S202, determining the wound type according to the physical condition information and wound condition of the target object, and determining whether the pH value detected by the graphene sensor unit reaches a preset alarm threshold range according to the wound type;

[0083] S204, if the pH value is greater than a preset alarm threshold, the time point corresponding to the pH value is marked, and the marked time point is used as a starting point for key detection according to the preset time;

[0084] S206, if the pH value gradually increases over time during the key detection process, wound infection warning information is generated, and the warning information is displayed in a preset manner;

[0085] It should be noted that the wound types include acute wounds and chronic wounds; the preset alarm threshold interval includes an acute wound alarm threshold interval and a chronic wound alarm threshold interval, and the preset alarm threshold interval can be adaptively changed according to the infection condition of the wound and the change of the wound type.

[0086] Figure 3 The flowchart of the main control unit of the present invention analyzing the acquired temperature is shown.

[0087] According to an embodiment of the present invention, the main control unit compares and analyzes the temperature, pH value and wound exudate with a preset threshold range, wherein the temperature comparison analysis is specifically as follows:

[0088] S302, obtaining skin temperature information of a symmetrical side of a wound of the target object through the body index information of the target object;

[0089] S304, performing difference processing on the temperature monitored by the graphene sensor unit and the skin temperature information at the symmetrical side position to generate a temperature difference, and presetting a temperature difference threshold;

[0090] S306, determining whether the temperature difference is greater than the temperature difference threshold;

[0091] S308, if it is greater than, then mark the time point corresponding to the temperature, and use the marked time point as the starting point to perform key detection according to the preset time;

[0092] S310, if the temperature gradually increases with time during the key detection process, it proves that the wound is at risk of infection, and a clinical judgment is made in combination with the pH value monitoring of the wound to generate infection warning information, and the infection warning information is displayed in a preset manner.

[0093] It should be noted that the present invention also includes evaluating the amount of exudate according to the wound exudate condition of the target object and the physical condition information of the target object, specifically:

[0094] Obtaining the wound exudate volume within a preset time according to the wetness of the graphene sensor unit;

[0095] Preset a wound exudate volume threshold based on wound type and target subject's physical condition information;

[0096] Determining whether the wound exudate volume within a preset time is greater than a preset wound exudate volume threshold;

[0097] If it is greater than, an exudate alarm message is generated, and the temperature and pH value of the wound after exudation are monitored. If the temperature and pH value increase significantly, an infection warning message is generated, and the infection warning message is displayed in a preset manner, and a recommendation for the use of an exudate collection bag is generated.

[0098] According to an embodiment of the present invention, it also includes generating a monitoring curve based on the data collected by the graphene sensor unit, and establishing a health database of the target patient, specifically:

[0099] The graphene sensor unit acquires temperature and pH value to establish a time sequence detection sequence according to the detection time, and establishes a temperature monitoring curve and a pH value monitoring curve according to the time sequence monitoring sequence;

[0100] Perform cutting analysis on the temperature monitoring curve and the pH value monitoring curve, and remove abnormal monitoring data;

[0101] The segmented curves after cutting are subjected to polymerization simulation to obtain new temperature monitoring curves and pH value monitoring curves;

[0102] If the target user's wound is a chronic wound, a health database is established based on the monitoring curve and the target user's physical condition information to provide a basis for the target user's subsequent treatment.

[0103] According to an embodiment of the present invention, the selection and replacement of wound dressings are determined by monitoring curves of chronic wounds of target users, specifically:

[0104] Acquire a monitoring curve of a chronic wound of a target object, extract features of the monitoring curve to generate curve features, and establish index tags according to the curve features;

[0105] Searching the cloud database through the index tag, determining the matching degree between the data curve in the cloud database and the monitoring curve, and extracting the data curve whose matching degree is greater than a preset threshold;

[0106] Arrange and analyze the extracted data curves, generate wound healing time rankings of the data curves, obtain medical record information corresponding to the data curves, and obtain wound dressing information and dressing drug information according to the medical record information;

[0107] At the same time, the infection status of the wound microenvironment is determined according to the monitoring curve, and dressing replacement information is generated according to the infection status.

[0108] It should be noted that the average wound reduction rate, healing rate and healing time are directly related to the selection of dressings of different materials. For example, for patients with diabetic foot, the historical wound monitoring curves of diabetic foot patients are used to recommend and timely replace dressings and dressing drugs for chronic wounds of diabetic foot patients through big data processing, and at the same time, life suggestions are generated for diabetic foot patients. If the average wound reduction rate of the current dressings and dressing drugs does not reach the preset threshold within the preset time, the wound monitoring curve will be fed back to the doctor, and the replacement of dressing drugs will be determined through manual cooperation with big data.

[0109] According to an embodiment of the present invention, the release rate of the drug is determined based on the monitoring curve combined with the smart drug dressing, specifically:

[0110] Compare and analyze the real-time monitoring data of chronic wounds with the normal data range to generate the deviation rate, and determine the slope of each monitoring data point based on the monitoring curve of the chronic wound of the target object;

[0111] Determining whether the deviation rate is greater than a deviation rate threshold;

[0112] If it is less than, it means that the monitored wound parameters are in a normal trend and the smart drug dressing releases drugs according to the established strategy;

[0113] If it is greater than, and the slope of the monitoring data point continues to increase, different drug release strategies are automatically set according to the change of the slope of the monitoring data point to accelerate the drug release.

[0114] It should be noted that the smart drug dressing is composed of a drug-loaded film and an outer dressing wrapping layer. The rate of drug release is controlled by controlling the degradation rate of the drug-loaded film. The graphene sensor unit obtains real-time monitoring data of the wound and transmits the real-time monitoring data to the main control unit. The main control unit generates a monitoring curve based on the real-time monitoring data, controls the drug release rate based on the monitoring curve, and displays the monitoring curve in a preset manner. The doctor controls the drug release rate based on the monitoring curve. By controlling the time when the drug starts to release, the drug loading of the film, and the amount of drug released at different stages, the wound site can heal normally and provide antibacterial protection.

[0115] The second aspect of the present invention also provides a wound infection monitoring and early warning method based on a graphene sensor, comprising:

[0116] Obtain the temperature, pH value and wound exudate of the wound, the target object's physical index information and basic disease information;

[0117] Determine the target object's physical condition information based on the target object's physical indicator information and basic disease information;

[0118] Comparing and analyzing the temperature, pH value and wound exudate with a preset threshold range, and determining the infection status of the wound according to the physical condition information of the target subject and the comparative analysis results;

[0119] Generating wound infection warning information according to the infection status of the wound, and displaying the infection warning information according to a preset method;

[0120] The temperature, pH value and wound exudate of the wound are obtained through a graphene sensor unit.

[0121] It should be noted that the graphene sensing unit includes a graphene temperature strain sensor, a graphene PH electrochemical sensor, a graphene exudate sensor and a PDMS flexible substrate. The graphene temperature strain sensor is a laser-induced graphene film plated with a copper film, the graphene PH electrochemical sensor includes a PH sensing electrode, the surface of which is coated with an aniline oligomer and a graphene composite material; the graphene exudate sensor is a graphene and carbon nanotube composite film, and the film includes a graphene film layer and a carbon nanotube film layer arranged in sequence along the thickness direction. The graphene temperature strain sensor reacts to temperature changes through copper resistance changes, the graphene PH electrochemical sensor reacts to PH value changes through the potential difference of the aniline oligomer reaction, and the graphene exudate sensor detects the exudate volume through the wetness of the film reacted by the nanotube resistance change.

[0122] It should be noted that the physical indicator information of the target object includes: blood sugar information, blood pressure information, body temperature information, heart rate information, one or a combination of two or more.

[0123] According to an embodiment of the present invention, the temperature, pH value and wound exudate are compared and analyzed with a preset threshold range, wherein the comparison and analysis of the pH value is specifically:

[0124] Determine the wound type according to the target object's physical condition information and wound condition, and determine whether the pH value detected by the graphene sensor unit reaches a preset alarm threshold range according to the wound type;

[0125] If the pH value is greater than the preset alarm threshold, the corresponding time point of the pH value is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0126] If the pH value gradually increases over time during the key detection process, a wound infection warning message is generated, and the warning message is displayed in a preset manner;

[0127] The wound types include acute wounds and chronic wounds; the preset alarm threshold interval includes an acute wound alarm threshold interval and a chronic wound alarm threshold interval, and the preset alarm threshold interval can be adaptively changed according to the infection condition of the wound and the change of the wound type.

[0128] According to an embodiment of the present invention, the temperature and pH value are compared and analyzed with the preset alarm threshold interval, wherein the temperature comparison analysis is specifically:

[0129] Acquiring skin temperature information of a symmetrical side of a wound of the target object through the body index information of the target object;

[0130] Performing difference processing on the temperature monitored by the graphene sensor unit and the skin temperature information at the symmetrical side position to generate a temperature difference, and presetting a temperature difference threshold;

[0131] Determining whether the temperature difference is greater than the temperature difference threshold;

[0132] If it is greater than, the time point corresponding to the temperature is marked, and the marked time point is used as the starting point for key detection according to the preset time;

[0133] If the temperature gradually increases over time during the key detection process, it proves that the wound is at risk of infection. Combined with the pH value monitoring of the wound, a clinical judgment is made to generate infection warning information, and the infection warning information is displayed in a preset manner.

[0134] It should be noted that the present invention also includes evaluating the amount of exudate according to the wound exudate condition of the target object and the physical condition information of the target object, specifically:

[0135] Obtaining the wound exudate volume within a preset time according to the wetness of the graphene sensor unit;

[0136] Preset a wound exudate volume threshold based on wound type and target subject's physical condition information;

[0137] Determining whether the wound exudate volume within a preset time is greater than a preset wound exudate volume threshold;

[0138] If it is greater than, an exudate alarm message is generated, and the temperature and pH value of the wound after exudation are monitored. If the temperature and pH value increase significantly, an infection warning message is generated, and the infection warning message is displayed in a preset manner, and a recommendation for the use of an exudate collection bag is generated.

[0139] According to an embodiment of the present invention, it also includes generating a monitoring curve based on the data collected by the graphene sensor unit, and establishing a health database of the target patient, specifically:

[0140] The graphene sensor unit acquires temperature and pH value to establish a time sequence detection sequence according to the detection time, and establishes a temperature monitoring curve and a pH value monitoring curve according to the time sequence monitoring sequence;

[0141] Perform cutting analysis on the temperature monitoring curve and the pH value monitoring curve, and remove abnormal monitoring data;

[0142] The segmented curves after cutting are subjected to polymerization simulation to obtain new temperature monitoring curves and pH value monitoring curves;

[0143] If the target user's wound is a chronic wound, a health database is established based on the monitoring curve and the target user's physical condition information to provide a basis for the target user's subsequent treatment.

[0144] According to an embodiment of the present invention, the selection and replacement of wound dressings are determined by monitoring curves of chronic wounds of target users, specifically:

[0145] Acquire a monitoring curve of a chronic wound of a target object, extract features of the monitoring curve to generate curve features, and establish index tags according to the curve features;

[0146] Searching the cloud database through the index tag, determining the matching degree between the data curve in the cloud database and the monitoring curve, and extracting the data curve whose matching degree is greater than a preset threshold;

[0147] Arrange and analyze the extracted data curves, generate wound healing time rankings of the data curves, obtain medical record information corresponding to the data curves, and obtain wound dressing information and dressing drug information according to the medical record information;

[0148] At the same time, the infection status of the wound microenvironment is determined according to the monitoring curve, and dressing replacement information is generated according to the infection status.

[0149] It should be noted that the average wound reduction rate, healing rate and healing time are directly related to the selection of dressings of different materials. For example, for patients with diabetic foot, the historical wound monitoring curves of diabetic foot patients are used to recommend and timely replace dressings and dressing drugs for chronic wounds of diabetic foot patients through big data processing, and at the same time, life suggestions are generated for diabetic foot patients. If the average wound reduction rate of the current dressings and dressing drugs does not reach the preset threshold within the preset time, the wound monitoring curve will be fed back to the doctor, and the replacement of dressing drugs will be determined through manual cooperation with big data.

[0150] According to an embodiment of the present invention, the release rate of the drug is determined based on the monitoring curve combined with the smart drug dressing, specifically:

[0151] Compare and analyze the real-time monitoring data of chronic wounds with the normal data range to generate the deviation rate, and determine the slope of each monitoring data point based on the monitoring curve of the chronic wound of the target object;

[0152] Determining whether the deviation rate is greater than a deviation rate threshold;

[0153] If it is less than, it means that the monitored wound parameters are in a normal trend and the smart drug dressing releases drugs according to the established strategy;

[0154] If it is greater than, and the slope of the monitoring data point continues to increase, different drug release strategies are automatically set according to the change of the slope of the monitoring data point to accelerate the drug release.

[0155] It should be noted that the smart drug dressing is composed of a drug-loaded film and an outer dressing wrapping layer. The rate of drug release is controlled by controlling the degradation rate of the drug-loaded film. The graphene sensor unit obtains real-time monitoring data of the wound and transmits the real-time monitoring data to the main control unit. The main control unit generates a monitoring curve based on the real-time monitoring data, controls the drug release rate based on the monitoring curve, and displays the monitoring curve in a preset manner. The doctor controls the drug release rate based on the monitoring curve. By controlling the time when the drug starts to release, the drug loading of the film, and the amount of drug released at different stages, the wound site can heal normally and provide antibacterial protection.

[0156] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0157] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0158] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0159] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0160] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0161] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A wound infection monitoring and early warning system based on graphene sensors, characterized in that: It includes the following units: graphene sensing unit, data acquisition unit, main control unit, wireless communication unit, and display unit; The graphene sensor unit is used to obtain the temperature, pH value and wound exudate of the wound; The data acquisition unit is used to acquire the target object's physical index information and basic disease information; The main control unit is used to determine the physical condition information of the target object according to the physical indicator information and basic disease information of the target object, compare and analyze the temperature, pH value and wound exudate with a preset threshold interval, judge the infection status of the wound according to the physical condition information of the target object and the comparison and analysis result, and generate wound infection warning information according to the infection status of the wound; The wireless communication unit is used for data transmission between the graphene sensor unit and the main control unit; The display unit is used to display the infection warning information generated by the main control unit; The amount of exudate is assessed based on the wound exudate of the target subject and the target subject's physical condition information, specifically: Obtaining the wound exudate volume within a preset time according to the wetness of the graphene sensor unit; Preset a wound exudate volume threshold based on wound type and target subject's physical condition information; Determining whether the wound exudate volume within a preset time is greater than a preset wound exudate volume threshold; If it is greater than, an exudate alarm message is generated, and the temperature and pH value of the wound after exudate are monitored. If the temperature and pH value increase significantly, an infection warning message is generated, and the infection warning message is displayed in a preset manner, and a recommendation for the use of an exudate collection bag is generated; The selection and replacement of wound dressings are determined through the monitoring curve of chronic wounds of target users, specifically: Acquire a monitoring curve of a chronic wound of a target object, extract features of the monitoring curve to generate curve features, and establish index tags according to the curve features; Searching the cloud database through the index tag, determining the matching degree between the data curve in the cloud database and the monitoring curve, and extracting the data curve whose matching degree is greater than a preset threshold; Arrange and analyze the extracted data curves, generate wound healing time rankings of the data curves, obtain medical record information corresponding to the data curves, and obtain wound dressing information and dressing drug information according to the medical record information; At the same time, the infection status of the wound microenvironment is determined according to the monitoring curve, and dressing replacement information is generated according to the infection status.

2. According to claim 1, a wound infection monitoring and early warning system based on graphene sensor is characterized in that: The graphene sensing unit includes a graphene temperature strain sensor, a graphene pH electrochemical sensor and a graphene exudate sensor.

3. According to claim 1, a wound infection monitoring and early warning system based on graphene sensor is characterized in that: The target object's physical index information includes: blood sugar information, blood pressure information, body temperature information, heart rate information, one or a combination of two or more.

4. The wound infection monitoring and early warning system based on graphene sensor according to claim 1, characterized in that: The main control unit compares and analyzes the temperature, pH value and wound exudate with the preset threshold range, wherein the comparison and analysis of the pH value is specifically as follows: Determine the wound type according to the target object's physical condition information and wound condition, and determine whether the pH value detected by the graphene sensor unit reaches a preset alarm threshold range according to the wound type; If the pH value is greater than the preset alarm threshold, the corresponding time point of the pH value is marked, and the marked time point is used as the starting point for key detection according to the preset time; If the pH value gradually increases over time during the key detection process, a wound infection warning message is generated, and the warning message is displayed in a preset manner; The wound types include acute wounds and chronic wounds; the preset alarm threshold interval includes an acute wound alarm threshold interval and a chronic wound alarm threshold interval, and the preset alarm threshold interval can be adaptively changed according to the infection condition of the wound and the change of the wound type.

5. The wound infection monitoring and early warning system based on graphene sensor according to claim 1, characterized in that: The main control unit compares and analyzes the temperature, pH value and wound exudate with the preset threshold range, wherein the temperature comparison analysis is specifically as follows: Acquiring skin temperature information of a symmetrical side of a wound of the target object through the body index information of the target object; Performing difference processing on the temperature monitored by the graphene sensor unit and the skin temperature information at the symmetrical side position to generate a temperature difference, and presetting a temperature difference threshold; Determining whether the temperature difference is greater than the temperature difference threshold; If it is greater than, the time point corresponding to the temperature is marked, and the marked time point is used as the starting point for key detection according to the preset time; If the temperature gradually increases over time during the key detection process, it proves that the wound is at risk of infection. Combined with the pH value monitoring of the wound, a clinical judgment is made to generate infection warning information, and the infection warning information is displayed in a preset manner.

6. The wound infection monitoring and early warning system based on graphene sensor according to claim 1, characterized in that: The main control unit is provided with a data storage module, which stores the data acquired by the graphene sensor unit into a health database of the data storage module, specifically: The graphene sensor unit acquires temperature and pH value to establish a time sequence detection sequence according to the detection time, and establishes a temperature monitoring curve and a pH value monitoring curve according to the time sequence detection sequence; Perform cutting analysis on the temperature monitoring curve and the pH value monitoring curve, and remove abnormal monitoring data; The segmented curves after cutting are subjected to polymerization simulation to obtain new temperature monitoring curves and pH value monitoring curves; If the target user's wound is a chronic wound, a health database is established based on the monitoring curve and the target user's physical condition information to provide a basis for the target user's subsequent treatment.

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