Skin temperature monitoring method, device and equipment based on traditional Chinese medicine nursing and medium

Abstract

The embodiment of the invention discloses a skin temperature monitoring method and device based on traditional Chinese medicine nursing, equipment and a medium. A specific embodiment of the method comprises the following steps: receiving starting information sent by a doctor end; selecting a wireless temperature sensor meeting a first preset condition from the at least one wireless temperature sensor according to address code information included in the starting information, and taking the selected wireless temperature sensor as a target sensor; controlling a target sensor to monitor the skin temperature of the patient in real time; receiving at least one piece of skin temperature information sent by the target sensor to obtain a skin temperature information sequence; generating temperature alarm information in response to the fact that the skin temperature information sequence meets a pre-generated alarm condition; and sending the temperature alarm information to a doctor end, and controlling a related temperature regulation and control device to carry out cooling treatment. According to the embodiment, the treatment safety of the patient is improved.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technologies, and more particularly, to a skin temperature monitoring method, apparatus, device, and medium based on traditional Chinese medicine nursing. Background Art

[0002] Traditional Chinese medicine nursing treatments usually involve using hot or cold treatment methods to improve the health of patients. These treatment methods generally require precise control of the skin temperature at the treatment site to ensure the best treatment effect. Currently, when determining the skin temperature of a patient, the commonly adopted method is: medical workers manually measure the skin temperature of the patient using a skin temperature meter.

[0003] However, when determining the skin temperature of a patient using the above method, the following technical problems often exist:

[0004] The probe of the skin temperature meter can only measure the temperature at a single point on the skin, resulting in inaccurate measurement of the skin temperature. Consequently, the temperature at the treatment site cannot be accurately controlled, and the actual required temperature is not met, leading to a low treatment safety for the patient. In addition, medical workers need to observe and measure the patient in person, which has significant limitations in use.

[0005] The above information disclosed in this background art section is only used to enhance the understanding of the background of the inventive concept. Therefore, it may include information that does not constitute the prior art known to those of ordinary skill in the art in this country. Summary of the Invention

[0006] This summary of the disclosure is intended to introduce concepts in a brief form, which will be described in detail in the following detailed implementation section. This summary of the disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0007] Some embodiments of the present disclosure propose a skin temperature monitoring method, apparatus, electronic device, and computer medium based on traditional Chinese medicine nursing to solve one or more of the technical problems mentioned in the above background art section.

[0008] In a first aspect, some embodiments of the present disclosure provide a skin temperature monitoring method based on traditional Chinese medicine nursing. The method includes: receiving startup information sent by a doctor terminal, where the startup information includes address code information; selecting, according to the address code information included in the startup information, a wireless temperature sensor that meets a first preset condition from the at least one wireless temperature sensor as a target sensor; controlling the target sensor to monitor the skin temperature of a patient in real time; receiving at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; generating a temperature warning information in response to the skin temperature information sequence meeting a pre-generated warning condition; sending the temperature warning information to the doctor terminal, and controlling an associated temperature regulation device to perform a cooling process.

[0009] In a second aspect, some embodiments of the present disclosure provide a skin temperature monitoring device based on traditional Chinese medicine nursing. The device includes: a first receiving unit configured to receive startup information sent by a doctor terminal, where the startup information includes address code information; a selection unit configured to select, according to the address code information included in the startup information, a wireless temperature sensor that meets a first preset condition from the at least one wireless temperature sensor as a target sensor; a control unit configured to control the target sensor to monitor the skin temperature of a patient in real time; a second receiving unit configured to receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; a generating unit configured to generate a temperature warning information in response to the skin temperature information sequence meeting a pre-generated warning condition; a sending unit configured to send the temperature warning information to the doctor terminal, and control an associated temperature regulation device to perform a cooling process.

[0010] In a third aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; a storage device storing one or more programs thereon, and when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the method described in any implementation manner of the first aspect.

[0011] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium storing a computer program thereon, where the program, when executed by a processor, implements the method described in any implementation manner of the first aspect.

[0012] The above - mentioned various embodiments of the present disclosure have the following beneficial effects: The skin temperature monitoring method based on traditional Chinese medicine nursing in some embodiments of the present disclosure improves the treatment safety of patients. Specifically, the reasons for the low treatment safety of patients are as follows: The probe of the skin temperature meter can only measure the temperature of a certain point on the skin, resulting in inaccurate measurement of the skin temperature. As a result, the temperature of the treatment site cannot be controlled to match the actual required temperature, leading to low treatment safety for patients. Moreover, medical staff need to observe and measure in person beside the patient, with great limitations in use. Based on this, the skin temperature monitoring method based on traditional Chinese medicine nursing in some embodiments of the present disclosure first receives the start - up information sent from the doctor terminal. Thus, information indicating the start - up of the temperature monitoring device can be received. Secondly, according to the address code information included in the above - mentioned start - up information, a wireless temperature sensor that meets the first preset condition is selected from the above - mentioned at least one wireless temperature sensor as the target sensor. Thus, the temperature sensor that needs to be started can be selected. Then, the above - mentioned target sensor is controlled to monitor the skin temperature of the patient in real - time. Thus, the skin temperature of the patient's treatment site can be monitored in real - time. After that, at least one skin temperature information sent by the above - mentioned target sensor is received to obtain a skin temperature information sequence. Thus, the change in the patient's skin temperature over a period of time can be determined. Finally, in response to the above - mentioned skin temperature information sequence meeting the pre - generated alarm condition, a temperature alarm information is generated; the above - mentioned temperature alarm information is sent to the above - mentioned doctor terminal, and the associated temperature control device is controlled to perform a cooling process. Thus, in the case of abnormal skin temperature of the patient, an alarm can be given and the temperature of the treatment instrument can be adjusted urgently. Also, because the skin area of the patient that needs treatment is monitored by wireless temperature sensors, inaccurate measurement of the skin temperature is avoided, and thus the situation where the temperature of the treatment site does not match the actual required temperature is avoided, improving the treatment safety of patients. Brief Description of the Drawings

[0013] Combined with the accompanying drawings and referring to the following specific embodiments, the above - mentioned and other features, advantages and aspects of each embodiment of the present disclosure will become more obvious. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the elements and elements are not necessarily drawn to scale.

[0014] Figure 1 is a flowchart of some embodiments of the skin temperature monitoring method based on traditional Chinese medicine nursing according to the present disclosure;

[0015] Figure 2 is a structural schematic diagram of some embodiments of the skin temperature monitoring device based on traditional Chinese medicine nursing according to the present disclosure;

[0016] Figure 3 is a structural schematic diagram of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation Modes

[0017] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0018] In addition, it should be noted that for the sake of convenience of description, only parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0019] It should be noted that concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependent relationships.

[0020] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless clearly specified otherwise in the context, it should be understood as "one or more".

[0021] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0022] The present disclosure will be described in detail below with reference to the drawings and in combination with embodiments.

[0023] Figure 1 Flow 100 of some embodiments of a skin temperature monitoring method based on traditional Chinese medicine nursing according to the present disclosure is shown. The skin temperature monitoring method based on traditional Chinese medicine nursing includes the following steps:

[0024] Step 101, receiving startup information sent by the doctor terminal.

[0025] In some embodiments, the execution subject (such as a data processing server) of the skin temperature monitoring method based on traditional Chinese medicine nursing can receive the start information sent by the doctor side. Among them, the above start information includes address code information. The above address code information can uniquely represent a certain wireless temperature sensor. The temperature monitoring device corresponding to the skin temperature monitoring method includes a data processing server and at least one wireless temperature sensor. Among them, the above data processing server can be a server used to receive the temperature data sent by each wireless temperature sensor in the above at least one wireless temperature sensor. For example, the above data processing server can adopt an ARM Cortex-M3 processor, run a Linux operating system, and be built with a TCP / IP protocol stack, and thus can realize wireless communication with the wireless temperature sensor. The wireless temperature sensor in the above at least one wireless temperature sensor can be a DS18B20. Each wireless temperature sensor in the above at least one wireless temperature sensor is encapsulated in a small, waterproof plastic shell.

[0026] Step 102, according to the address code information included in the start information, select a wireless temperature sensor that meets the first preset condition from at least one wireless temperature sensor as the target sensor.

[0027] In some embodiments, the execution subject can select a wireless temperature sensor that meets the first preset condition from the above at least one wireless temperature sensor according to the address code information included in the start information as the target sensor. Among them, the above first preset condition can be a wireless temperature sensor whose included address code is the same as the above address code information.

[0028] Step 103, control the target sensor to monitor the patient's skin temperature in real time.

[0029] In some embodiments, the execution subject can control the target sensor to monitor the patient's skin temperature in real time. Here, the above target sensor can collect the patient's skin temperature every preset time interval. The above preset time interval can be a preset time length. For example, the above preset time interval can be three seconds.

[0030] Step 104, receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence.

[0031] In some embodiments, the execution subject can receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence. Among them, each skin temperature information in the above skin temperature information sequence can be sorted in the order of the corresponding acquisition time.

[0032] In the process of adopting technical solutions to solve the above technical problems, the following technical problems often occur: Since the environment where the patient is located is different, the temperature of the patient's treatment site collected by the sensor is affected by environmental factors, resulting in the collected temperature not matching the actual temperature of the patient's treatment site. As a result, the temperature of the controlled treatment site does not match the actual required temperature, leading to a relatively low treatment safety for the patient. For the above technical problems, the conventional solution is generally to measure the temperature of the patient's treatment site multiple times and calculate the average of the obtained results to be closer to the actual temperature of the patient's body part. However, the above conventional solution still has the following problems: Calculating the average of multiple measured skin temperatures still cannot accurately determine the actual temperature of the patient's body part, resulting in the temperature of the controlled treatment site not matching the actual required temperature, and thus the treatment safety of the patient is relatively low. Considering the problems of the above conventional solution, in the face of the above technical problems and combined with the existing technical situation, the following solution can be decided upon.

[0033] In practice, the above skin temperature information can be determined through the following steps:

[0034] First, receive the skin temperature sent by the above target sensor. Among them, the above skin temperature is the skin surface temperature of a certain part of the patient collected by the above target sensor.

[0035] Second, obtain the case information of the above patient. In practice, the case information corresponding to the above patient can be obtained from a database storing case information.

[0036] Third, perform keyword extraction processing on the above case information to generate at least one case keyword and obtain a case keyword group.

[0037] Fourth, perform semantic analysis processing on the above case keyword group to generate a semantic analysis result representing the body part. In practice, perform semantic analysis on each case keyword in the case keyword group to determine the body part that the patient needs to be treated.

[0038] Fifth, control the associated environmental detection device to obtain environmental information. Among them, the above environmental information includes environmental temperature, environmental humidity, and environmental wind speed. The above environmental detection device can include a thermometer, a hygrometer, and an anemometer that are wired or wirelessly connected to the above execution entity.

[0039] Step 6: According to the above ambient humidity and the above ambient wind speed, obtain a set of regression relation formulas corresponding to the above ambient humidity and the above ambient wind speed. Among them, the regression relation formulas in the above set of regression relation formulas are used to represent the regression relation between the skin temperature of the patient and the ambient temperature. The regression relation formulas in the above set of regression relation formulas can be regression relation expressions pre-generated by a technician through linear regression based on the statistics of a large number of ambient temperatures and skin temperatures. Here, the coefficient of determination corresponding to the regression relation formulas in the above set of regression relation formulas is greater than or equal to a preset coefficient of determination threshold. The above preset coefficient of determination threshold can be the coefficient of determination of a preset linear regression relation expression.

[0040] Step 7: Select, from the above set of regression relation formulas, the regression relation formula corresponding to the body part characterized by the above semantic analysis result as the target regression relation formula.

[0041] As an example, in response to the ambient humidity being 70% and the ambient wind speed being less than 0.05 m / s, the target regression relation formula corresponding to the abdomen can be y = 31.1 + 0.13x, where y represents the skin temperature and x represents the ambient temperature.

[0042] Step 8: Input the above ambient temperature into the above target regression relation formula to obtain the skin temperature of the patient.

[0043] Step 9: Determine the average value of the above patient's skin temperature and the above skin temperature as the skin temperature information.

[0044] The above first step - ninth step, as an inventive point of the embodiment of the present disclosure, in combination with the following step "step 106", solves the technical problem that "due to different environments where patients are located, the temperature of the patient's treatment site collected by the sensor is affected by environmental factors, resulting in the collected temperature not matching the actual temperature of the patient's treatment site, and further leading to the controlled temperature of the treatment site not matching the actual required temperature, causing relatively low treatment safety for patients". The reasons for the relatively low treatment safety of patients are as follows: Due to different environments where patients are located, the temperature of the patient's treatment site collected by the sensor is affected by environmental factors, resulting in the collected temperature not matching the actual temperature of the patient's treatment site, and further leading to the controlled temperature of the treatment site not matching the actual required temperature, causing relatively low treatment safety for patients. If the above factors are solved, the effect of improving the treatment safety of patients can be achieved. To achieve this effect, the present disclosure first receives the skin temperature sent by the above target sensor. Thus, the skin temperature of the patient collected by the sensor can be obtained. Second, obtain the case information of the above patient; perform keyword extraction processing on the above case information to generate at least one case keyword, obtaining a case keyword group; perform semantic analysis processing on the above case keyword group to generate a semantic analysis result representing the body part. Thus, by performing semantic analysis on the patient's case, the body part that the patient needs to treat can be determined. Third, control the associated environmental detection device to obtain environmental information; according to the above environmental humidity and the above environmental wind speed, obtain a regression relationship formula group corresponding to the above environmental humidity and the above environmental wind speed. Thus, a regression relationship formula that conforms to the patient's current environment can be selected. Fourth, select from the above regression relationship formula group the regression relationship formula corresponding to the body part represented by the above semantic analysis result as the target regression relationship formula. Thus, the target regression relationship formula corresponding to the patient's treatment site can be determined. Fifth, input the above environmental temperature into the above target regression relationship formula to obtain the patient's skin temperature; determine the average value of the above patient's skin temperature and the above skin temperature as skin temperature information. Thus, the skin temperature of the body part that the patient needs to treat can be determined. In combination with the step "step 106", send the above temperature warning information to the above doctor terminal, and control the associated temperature regulation device to perform a cooling process. Thus, when the skin temperature meets the pre-generated warning condition, the temperature regulation device can be controlled to perform cooling, avoiding the controlled temperature of the treatment site not matching the actual required temperature, and further improving the treatment safety of patients.

[0045] Step 105, in response to the skin temperature information sequence meeting the pre-generated warning condition, generate temperature warning information.

[0046] In some embodiments, the above-mentioned execution entity may generate a temperature warning message in response to the above-mentioned skin temperature information sequence satisfying a pre-generated warning condition. Wherein, the above-mentioned pre-generated warning message may be pre-generated information for warning of abnormal temperature. The above-mentioned abnormal temperature may be skin temperature information in the skin temperature information sequence that is greater than or equal to a preset temperature threshold.

[0047] Optionally, before step 105, the following steps are further included:

[0048] First step, obtain the patient information corresponding to the above-mentioned target sensor.

[0049] In some embodiments, the above-mentioned execution entity may obtain the patient information corresponding to the above-mentioned target sensor. Wherein, the above-mentioned patient information includes case information and treatment stage information. The above-mentioned case information may include the patient's disease information and disease symptoms. The above-mentioned treatment stage information may characterize each treatment stage corresponding to the above-mentioned disease information.

[0050] Second step, select a treatment stage that meets a preset selection condition from the above-mentioned treatment stage information as the target treatment stage.

[0051] In some embodiments, the above-mentioned execution entity may select a treatment stage that meets a preset selection condition from the above-mentioned treatment stage information as the target treatment stage. Wherein, the above-mentioned preset selection condition may be the treatment stage corresponding to the above-mentioned patient.

[0052] Third step, input the above-mentioned case information and the above-mentioned target treatment stage into a pre-trained temperature threshold model to obtain the temperature threshold corresponding to the above-mentioned target treatment stage.

[0053] In some embodiments, the above-mentioned execution entity may input the above-mentioned case information and the above-mentioned target treatment stage into a pre-trained temperature threshold model to obtain the temperature threshold corresponding to the above-mentioned target treatment stage. Here, the above-mentioned temperature threshold model may be used to characterize the corresponding relationship between the target treatment stage and the temperature threshold. As an example, the temperature threshold model may be a correspondence table pre-specified by a person skilled in the art based on statistics of a large number of target treatment stages and temperature thresholds and storing the corresponding relationships between multiple target treatment stages and temperature thresholds. In practice, first, the correspondence table corresponding to the above-mentioned case information may be obtained from a database storing the correspondence table, and second, the temperature threshold corresponding to the above-mentioned target treatment stage may be selected from the obtained correspondence table.

[0054] Fourth step, generate a pre-generated warning condition according to the above-mentioned temperature threshold and the warning condition template.

[0055] In some embodiments, the above-mentioned execution entity may generate a pre-generated warning condition according to the above-mentioned temperature threshold and the warning condition template. In practice, the above-mentioned temperature threshold may be filled into the line number warning condition template to obtain the pre-generated warning condition.

[0056] Optionally, the above-mentioned temperature threshold model may be trained through the following steps:

[0057] The first step is to obtain a sample set.

[0058] In some embodiments, the above-mentioned execution entity may obtain a sample set. Among them, the sample case information and the sample target treatment stage in the above-mentioned sample set, as well as the analysis result of the sample environment information corresponding to the above-mentioned sample case information and the sample target treatment stage.

[0059] The second step is to select samples from the above-mentioned sample set.

[0060] In some embodiments, the above-mentioned execution entity may select samples from the above-mentioned sample set. Here, the above-mentioned execution entity may randomly select samples from the above-mentioned sample set.

[0061] The third step is to input the above-mentioned samples into the initial network model to obtain the temperature threshold corresponding to the above-mentioned samples.

[0062] In some embodiments, the above-mentioned execution entity may input the above-mentioned samples into the initial network model to obtain the temperature threshold corresponding to the above-mentioned samples. Among them, the above-mentioned initial neural network may be a classification model that can obtain the temperature threshold according to the case information and the sample target treatment stage.

[0063] The fourth step is to determine the loss value between the above-mentioned temperature threshold and the sample temperature threshold included in the above-mentioned samples.

[0064] In some embodiments, the above-mentioned execution entity may determine the loss value between the above-mentioned temperature threshold and the sample temperature threshold included in the above-mentioned samples. In practice, the loss value between the above-mentioned temperature threshold and the sample temperature threshold included in the above-mentioned samples may be determined based on a preset loss function. For example, the above-mentioned preset loss function may be a cross-entropy loss function.

[0065] The fifth step is to adjust the network parameters of the above-mentioned initial network model in response to the above-mentioned loss value being greater than or equal to a preset threshold.

[0066] In some embodiments, the above-mentioned execution entity may adjust the network parameters of the above-mentioned initial network model in response to the above-mentioned loss value being greater than or equal to a preset threshold. Here, there is no limitation on the setting of the preset threshold. For example, the difference between the loss value and the preset threshold can be calculated to obtain a loss difference. On this basis, methods such as backpropagation and stochastic gradient descent are used to forward the error value from the last layer of the model to adjust the parameters of each layer. Of course, according to needs, the method of network freezing (dropout) can also be adopted to keep the network parameters of some layers unchanged without adjustment, and no limitation is made in this regard.

[0067] Optionally, in response to the above-mentioned loss value being less than the above-mentioned preset threshold, the above-mentioned initial network model is determined as the temperature threshold model.

[0068] In some embodiments, the above-mentioned execution entity may determine the above-mentioned initial network model as the temperature threshold model in response to the above-mentioned loss value being less than the above-mentioned preset threshold.

[0069] Step 106: Send the temperature alarm information to the doctor side and control the associated temperature control device to perform a cooling process.

[0070] In some embodiments, the above-mentioned execution entity may send the above-mentioned temperature alarm information to the above-mentioned doctor side and control the associated temperature control device to perform a cooling process.

[0071] In practice, the associated temperature control device can be controlled to perform a cooling process through the following steps:

[0072] The first step: Determine the current skin temperature of the above-mentioned patient. In practice, the last skin temperature information in the above-mentioned skin temperature information sequence can be determined as the current skin temperature.

[0073] The second step: According to the correspondence table of skin temperature and temperature difference value, determine the temperature difference value corresponding to the above-mentioned current skin temperature as the target temperature difference value. Among them, the above-mentioned correspondence table can be a pre-set correspondence table of the patient's skin temperature, environmental temperature and temperature difference value. In practice, the temperature difference value corresponding to the above-mentioned current skin temperature can be selected from the above-mentioned correspondence table.

[0074] The third step: Determine the temperature control value according to the above-mentioned target temperature difference value. In practice, the difference between the above-mentioned current skin temperature, temperature threshold and the above-mentioned target temperature difference value can be determined as the temperature control value.

[0075] The fourth step: Control the associated temperature control device to perform a cooling process according to the above-mentioned temperature control value. Among them, the above-mentioned associated temperature control device can be a device for temperature treatment of the patient connected to the above-mentioned execution entity by wire or wirelessly.

[0076] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: The skin temperature monitoring method based on traditional Chinese medicine nursing in some embodiments of the present disclosure improves the treatment safety of patients. Specifically, the reason for the low treatment safety of patients is that the probe of the skin temperature meter can only measure the temperature of a single point on the skin, resulting in inaccurate measurement of the skin temperature, and then causing the temperature of the treatment site to not match the actual required temperature, resulting in low treatment safety for patients. Moreover, medical staff need to observe and measure beside the patients in person, with great limitations in use. Based on this, for the skin temperature monitoring method based on traditional Chinese medicine nursing in some embodiments of the present disclosure, first, start information sent by the doctor terminal is received. Thus, information indicating the activation of the temperature monitoring device can be obtained. Secondly, according to the address code information included in the above-mentioned start information, a wireless temperature sensor that meets the first preset condition is selected from the above-mentioned at least one wireless temperature sensor as the target sensor. Thus, the temperature sensor that needs to be activated can be selected. Then, the above-mentioned target sensor is controlled to monitor the skin temperature of the patient in real time. Thus, the skin temperature of the patient's treatment site can be monitored in real time. After that, at least one skin temperature information sent by the above-mentioned target sensor is received to obtain a skin temperature information sequence. Thus, the change in the patient's skin temperature over a period of time can be determined. Finally, in response to the above-mentioned skin temperature information sequence satisfying the pre-generated alarm condition, a temperature alarm information is generated; the above-mentioned temperature alarm information is sent to the above-mentioned doctor terminal, and the associated temperature control device is controlled to perform a cooling process. Thus, in the case of abnormal skin temperature of the patient, an alarm can be given and the temperature of the treatment instrument can be adjusted urgently. Also, because the skin area of the patient that needs treatment is monitored by wireless temperature sensors, inaccurate measurement of the skin temperature is avoided, and further, the temperature of the treatment site not matching the actual required temperature is avoided, improving the treatment safety of patients.

[0077] Further referring to Figure 2 , as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides some embodiments of a skin temperature monitoring device based on traditional Chinese medicine nursing. These device embodiments correspond to those method embodiments shown in Figure 1 . The skin temperature monitoring device based on traditional Chinese medicine nursing can be specifically applied to various electronic devices.

[0078] As shown in Figure 2As shown in the figure, the skin temperature monitoring device 200 based on traditional Chinese medicine nursing in some embodiments includes: a first receiving unit 201, a selection unit 202, a control unit 203, a second receiving unit 204, a generating unit 205, and a transmitting unit 206. Among them, the first receiving unit 201 is configured to receive the start information sent by the doctor terminal, where the start information includes address code information; the selection unit 202 is configured to select, according to the address code information included in the start information, a wireless temperature sensor that meets the first preset condition from the at least one wireless temperature sensor as the target sensor; the control unit 203 is configured to control the target sensor to monitor the skin temperature of the patient in real time; the second receiving unit 204 is configured to receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; the generating unit 205 is configured to generate a temperature alarm information in response to the skin temperature information sequence meeting the pre-generated alarm condition; the transmitting unit 206 is configured to send the temperature alarm information to the doctor terminal and control the associated temperature regulation device to perform a cooling process.

[0079] It can be understood that the units described in the skin temperature monitoring device 200 based on traditional Chinese medicine nursing correspond to the respective steps in the method described in the reference Figure 1 description. Therefore, the operations, features, and beneficial effects described above for the method also apply to the skin temperature monitoring device 200 based on traditional Chinese medicine nursing and the units included therein, and will not be elaborated here.

[0080] Next, referring to Figure 3 , which shows a schematic structural diagram of an electronic device 300 suitable for implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not impose any limitations on the functions and usage scopes of the embodiments of the present disclosure.

[0081] As Figure 3As shown, the electronic device 300 may include a processing device 301 (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to a program stored in the read-only memory (ROM) 302 or a program loaded from the storage device 308 into the random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.

[0082] Generally, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 3 an electronic device 300 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. More or fewer devices may be implemented or had alternatively. Figure 3 Each block shown in the figure may represent a device or, as needed, multiple devices.

[0083] In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for performing the methods shown in the flowcharts. In such some embodiments, the computer program may be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above functions defined in the methods of some embodiments of the present disclosure are performed.

[0084] It should be noted that the computer-readable media described in some embodiments of the present disclosure may be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable signal medium may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0085] In some embodiments, the client and the server may communicate using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0086] The above computer-readable medium may be included in the above electronic device; or it may exist independently and not be assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by the electronic device, the electronic device is caused to: receive startup information sent from the doctor side, where the above startup information includes address code information; select, according to the address code information included in the above startup information, a wireless temperature sensor that meets a first preset condition from the above at least one wireless temperature sensor as a target sensor; control the target sensor to monitor the skin temperature of the patient in real time; receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; generate a temperature warning information in response to the skin temperature information sequence meeting a pre-generated warning condition; send the above temperature warning information to the doctor side, and control an associated temperature regulation device to perform a cooling process.

[0087] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages - such as Java, Smalltalk, C++; and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN) - or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0088] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0089] The units described in some embodiments of the present disclosure can be implemented in software or in hardware. The described units can also be provided in a processor. For example, it can be described as: a processor includes a first receiving unit, a selecting unit, a controlling unit, a second receiving unit, a generating unit, and a transmitting unit. Among them, the names of these units do not constitute a limitation on the unit itself in some cases. For example, the first receiving unit can also be described as "the unit that receives the startup information sent by the doctor side".

[0090] The functions described above herein can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), Application Specific Standard Product (ASSP), System on Chip (SOC), Complex Programmable Logic Device (CPLD), and so on.

[0091] The above description is only some preferred embodiments of the present disclosure and an explanation of the technical principles applied. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the (but not limited to) technical features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A skin temperature monitoring method based on traditional Chinese medicine nursing, which is applied to a temperature monitoring device, wherein, The temperature monitoring device includes: a data processing server and at least one wireless temperature sensor, including: Receiving startup information sent by the doctor terminal, where the startup information includes address code information; Selecting, according to the address code information included in the startup information, a wireless temperature sensor that meets the first preset condition from the at least one wireless temperature sensor as the target sensor; Controlling the target sensor to monitor the skin temperature of the patient in real time; Receiving at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; Generating a temperature warning information in response to the skin temperature information sequence meeting the pre-generated warning condition; Sending the temperature warning information to the doctor terminal and controlling an associated temperature regulation device to perform a cooling process.

2. The method according to claim 1, wherein, Before generating the temperature warning information in response to the skin temperature information sequence meeting the pre-generated warning condition, the method further includes: Obtaining patient information corresponding to the target sensor, where the patient information includes case information and treatment stage information; Selecting a treatment stage that meets a preset selection condition from the treatment stage information as the target treatment stage; Inputting the case information and the target treatment stage into a pre-trained temperature threshold model to obtain a temperature threshold corresponding to the target treatment stage; Generating a pre-generated warning condition according to the temperature threshold and a warning condition template.

3. The method according to claim 2, wherein, The temperature threshold model is trained through the following steps: Obtaining a sample set, where samples in the sample set include sample case information, a sample target treatment stage, and a sample temperature threshold corresponding to the sample case information and the sample target treatment stage; Selecting a sample from the sample set; Inputting the sample into an initial network model to obtain a temperature threshold corresponding to the sample; Determining a loss value between the temperature threshold corresponding to the sample and the sample temperature threshold included in the sample; Adjusting network parameters of the initial network model in response to the loss value being greater than or equal to a preset threshold.

4. The method according to claim 3, wherein The method further includes: Determining the initial network model as the temperature threshold model in response to the loss value being less than the preset threshold.

5. The method according to claim 1, wherein, Each wireless temperature sensor in the at least one wireless temperature sensor is encapsulated in a small, waterproof plastic housing.

6. The method according to claim 1, wherein Controlling the associated temperature regulation device to perform a cooling process includes: Determining the current skin temperature of the patient; Determining, according to a correspondence table between skin temperature and temperature difference value, a temperature difference value corresponding to the current skin temperature as the target temperature difference value; Determining a temperature regulation value according to the target temperature difference value; Controlling the associated temperature regulation device to perform a cooling process according to the temperature regulation value.

7. A skin temperature monitoring device based on traditional Chinese medicine nursing, including: A first receiving unit configured to receive startup information sent by the doctor terminal, where the startup information includes address code information; A selection unit configured to select, according to the address code information included in the startup information, a wireless temperature sensor that meets the first preset condition from the at least one wireless temperature sensor as the target sensor; A control unit, configured to control the target sensor to monitor the skin temperature of a patient in real time; A second receiving unit, configured to receive at least one skin temperature information sent by the target sensor to obtain a skin temperature information sequence; A generating unit, configured to generate a temperature warning information in response to the skin temperature information sequence satisfying a pre-generated warning condition; A sending unit, configured to send the temperature warning information to the doctor terminal and control an associated temperature regulation device to perform a cooling process.

8. An electronic device, comprising: One or more processors; A storage device having stored thereon one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A computer-readable medium having a computer program stored thereon, wherein, When the program is executed by the processor, the method according to any one of claims 1 to 6 is implemented.

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