Percutaneous water loss detection method and device

Abstract

The invention provides a percutaneous water loss detection method and device, and the method comprises the steps: S1, collecting and recording environment temperature, humidity and airflow velocity parameters around a detection region through an environment sensor, and obtaining environment parameters; s2, the age of the detected person is recorded, and the skin cuticle thickness of the detected person is measured through a detection instrument; s3, detecting the skin surface by adopting a non-contact water vapor concentration sensor to obtain a water vapor concentration initial value; s4, continuously collecting water vapor concentration data of the skin surface within a set time interval, calculating an initial water vapor concentration change rate based on a water vapor concentration initial value, and correcting the initial water vapor concentration change rate by using the correction model in combination with the environmental parameters to obtain a corrected water vapor concentration change rate; s5, according to the corrected water vapor concentration change rate and the distance parameter between the skin surface and the water vapor concentration sensor, the percutaneous water loss rate is calculated, and the method can provide more valuable data for skin care, skin disease diagnosis and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of transcutaneous water loss detection, and in particular to a transcutaneous water loss detection method and device. Background Art

[0002] As people pay more and more attention to skin health, the research on skin barrier function has become increasingly in-depth. As a key indicator to measure the integrity of the skin barrier, the detection technology of transepidermal water loss has also undergone a long process of development.

[0003] Early skin moisture detection methods were relatively crude and mostly relied on subjective feelings. For example, people roughly judged the dehydration of the skin based on the tightness and dryness of the skin. This method lacked accuracy and could not provide a reliable basis for skin care and medical diagnosis. Subsequently, some simple physical measurement methods gradually emerged, such as the use of weighing methods to estimate water loss by measuring the weight change of the skin before and after a period of time. However, this method is cumbersome to operate and is easily interfered by external environmental factors, resulting in large measurement errors.

[0004] After the rise of sensor technology, skin moisture detectors based on the principle of capacitance appeared. They use the characteristic that different skin moisture content will cause changes in capacitance to indirectly reflect the moisture content of the skin. However, this method can only measure the moisture content in the skin, and cannot accurately measure the dynamic process of water loss from the skin surface to the external environment, that is, transepidermal water loss.

[0005] In the digital age, the impact of environmental factors on the skin has received increasing attention. Studies have found that environmental temperature, humidity, and airflow speed can greatly change the transepidermal water loss rate of the skin. In a high temperature environment, the kinetic energy of water molecules increases, and skin moisture is more likely to evaporate and dissipate; although a high humidity environment can slow down water loss to a certain extent, when the humidity changes sharply, it will disrupt the moisture balance of the skin; faster airflow speed acts like an "exhaust fan", quickly taking away moisture from the skin surface and accelerating moisture loss.

[0006] At the same time, individual differences, such as age and thickness of the stratum corneum, have also been shown to be closely related to transepidermal water loss. Ageing leads to skin aging, thinning of the stratum corneum, loosening of structure, weakening of the skin barrier function, and a significant increase in transepidermal water loss. The thickness of the stratum corneum of different parts of the skin varies. The stratum corneum of frequently exposed parts such as the face and hands is relatively thin, and water is lost faster, while the stratum corneum of the soles of the feet, palms, and other parts is thick, and water loss is relatively slow. However, traditional detection methods often ignore the combined effects of these complex individual differences and environmental factors, making it difficult to accurately measure the transepidermal water loss rate. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a method and device for detecting transcutaneous water loss, so as to solve the problem that the traditional transcutaneous water loss detection method in the prior art ignores the complex individual differences and environmental factors resulting in low accuracy.

[0008] To achieve the above objectives and other related objectives, the present invention provides the following technical solutions:

[0009] In one aspect, the present invention provides a method for detecting transepidermal water loss, comprising the following steps:

[0010] S1, using environmental sensors to collect and record ambient temperature, humidity and air flow velocity parameters around the detection area to obtain environmental parameters;

[0011] S2, recording the age of the subject and measuring the thickness of the stratum corneum of the subject's skin by a testing instrument;

[0012] S3, using a non-contact water vapor concentration sensor to detect the skin surface and obtain an initial value of the water vapor concentration;

[0013] S4, continuously collecting water vapor concentration data on the skin surface within a set time interval, calculating an initial water vapor concentration change rate based on an initial value of the water vapor concentration, and correcting the initial water vapor concentration change rate using a correction model in combination with environmental parameters to obtain a corrected water vapor concentration change rate;

[0014] S5, calculating the transepidermal water loss rate according to the corrected water vapor concentration change rate and the distance parameter between the skin surface and the water vapor concentration sensor.

[0015] Furthermore, the S1 includes:

[0016] The environmental parameters include ambient temperature, relative humidity and air flow velocity;

[0017] The detected environmental parameters are saved and a timestamp is added to each set of parameters.

[0018] Further, the S2 includes:

[0019] Record the personal information of the person being tested, including but not limited to name, gender, and age, and establish a unique identifier to track the entire testing process;

[0020] Clean the surface of the skin to be tested and remove interfering factors;

[0021] The stratum corneum thickness at the measurement site was measured multiple times and the average value was obtained.

[0022] Furthermore, the calculation method of the initial water vapor concentration change rate is as follows:

[0023]

[0024] in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration.

[0025] Furthermore, the correction model is:

[0026]

[0027] in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the stratum corneum of the skin, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient.

[0028] Further, the transepidermal water loss rate calculation method is as follows:

[0029]

[0030] in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

[0031] In a second aspect, the present invention provides a transepidermal water loss detection system, comprising:

[0032] The environmental sensor module is used to collect environmental parameters around the detection area in real time and transmit the data to the data processing module;

[0033] A user information input module is used to input the personal information of the person being tested, including but not limited to name, gender, age, and to establish a unique identifier;

[0034] A water vapor concentration detection module, including a non-contact water vapor concentration sensor, for detecting the water vapor concentration on the skin surface;

[0035] A data processing module receives relevant data from the environmental sensor module, the user information input module and the water vapor concentration detection module and calculates the initial water vapor concentration change rate, the corrected water vapor concentration change rate and the transepidermal water loss rate through a built-in algorithm;

[0036] The calculation method of the initial water vapor concentration change rate is as follows:

[0037]

[0038] in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration;

[0039] The corrected water vapor concentration change rate is:

[0040]

[0041] in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the stratum corneum of the skin, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient;

[0042] The transepidermal water loss rate calculation method is:

[0043]

[0044] in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

[0045] Furthermore, the system also includes:

[0046] Display module, used to display transepidermal water loss rate and related environmental parameters, and can show the change trend of measurement data in the form of charts;

[0047] The storage module saves environmental parameters, measurement data and calculation results, and adds timestamps for subsequent data tracing and analysis;

[0048] The alarm module is used to sound an alarm when an abnormal situation occurs during the detection process to ensure measurement safety.

[0049] In a third aspect, the present invention provides a storage medium having a computer program stored thereon, which implements the steps of the method according to claims 1-6 when executed by a processor.

[0050] In a fourth aspect, the present invention provides a computing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of claims 1-6 when executing the program.

[0051] As described above, a transepidermal water loss detection method and device of the present invention has the following beneficial effects: the present invention can accurately measure the transepidermal water loss rate of patients, and combine environmental factors and individual skin characteristics analysis to help doctors more accurately judge the severity of the disease. During the treatment process, the changes in the transepidermal water loss rate are continuously monitored, and the doctor can timely understand the effectiveness of the treatment plan, such as whether drug treatment, phototherapy, etc. promote the repair of the skin barrier and whether the transepidermal water loss rate is reduced, so as to flexibly adjust the treatment strategy according to the test results and improve the treatment effect; for patients with skin injuries such as burns and trauma, the system can be used to evaluate the skin repair process. During the wound healing process, the skin stratum corneum gradually recovers, and the transepidermal water loss rate will also change accordingly. Through regular testing, medical staff can grasp the regeneration status of the skin in real time, judge whether there are risks such as infection and poor healing, and provide a scientific basis for subsequent treatment and nursing measures, such as adjusting the type of dressing, increasing nutritional support, etc., to promote the early recovery of the patient's skin. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 Shown is a schematic diagram of the process of the present invention DETAILED DESCRIPTION

[0053] The following specific embodiments illustrate the implementation of the present invention, and those familiar with the technology can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0054] Example 1

[0055] This embodiment provides a method for detecting transepidermal water loss.

[0056] A transepidermal water loss detection method comprises the following steps: S1, using an environmental sensor to collect and record the environmental temperature, humidity and air flow velocity parameters around a detection area to obtain environmental parameters; S2, recording the age of a person being detected and measuring the thickness of the stratum corneum of the skin of the person being detected by a detection instrument; S3, using a non-contact water vapor concentration sensor to detect the skin surface to obtain an initial value of the water vapor concentration; S4, continuously collecting water vapor concentration data on the skin surface within a set time interval, calculating the initial water vapor concentration change rate based on the initial water vapor concentration value, and correcting the initial water vapor concentration change rate using a correction model in combination with the environmental parameters to obtain a corrected water vapor concentration change rate; S5, calculating the transepidermal water loss rate according to the corrected water vapor concentration change rate and the distance parameter between the skin surface and the water vapor concentration sensor.

[0057] This method first uses environmental sensors to obtain environmental parameters around the detection area. These sensors collect data at a certain frequency and record the collected environmental temperature, humidity and airflow velocity parameters to provide environmental factor data for the subsequent water vapor concentration change rate correction; use professional detection instruments to measure the thickness of the skin stratum corneum, measure the measurement site multiple times and take the average value to reduce the measurement error and obtain a more accurate skin stratum corneum thickness value; use a non-contact water vapor concentration sensor to obtain the initial value and continuous data, and calculate the water vapor concentration change rate based on a scientific formula, and then use a correction model containing multiple influencing factors to correct it, reducing the error caused by single factor measurement; calculate the transepidermal water loss rate based on the corrected water vapor concentration change rate and accurate distance parameters to ensure the accuracy and reliability of the final detection results. This calculation method based on multi-factor comprehensive analysis can provide more valuable data for skin care, skin disease diagnosis, etc.

[0058] The S1 includes: the environmental parameters include environmental temperature, relative humidity and air flow velocity; the detected environmental parameters are saved, and a timestamp is added to each set of parameters.

[0059] By collecting the three key environmental parameters of ambient temperature, relative humidity and airflow velocity, the impact of the environment on transepidermal water loss can be fully considered. These three parameters cover the main factors affecting the loss of skin water from the environment, avoiding the problem of inaccurate assessment of transepidermal water loss due to omission of important environmental factors; the detected environmental parameters are saved and timestamped to make the data traceable. In subsequent research or clinical applications, if a certain test result needs to be reviewed or further analyzed, the environmental parameter data at that time can be accurately found, and the impact of changes in environmental factors on transepidermal water loss can be analyzed in chronological order.

[0060] The S2 includes: recording the personal information of the person being tested, including but not limited to name, gender, and age information, and establishing a unique identifier for tracking the entire testing process; cleaning the surface of the skin being tested and removing interference factors; measuring the stratum corneum thickness of the measuring site multiple times and obtaining an average value.

[0061] In the process of transepidermal water loss testing, recording the personal information of the person being tested, such as name, gender, and age, is a basic step. The name is used to clarify the individual identity of the test subject. In some studies of skin characteristics, gender information may be associated with hormone levels, which in turn affects the skin condition and transepidermal water loss. Age is particularly critical. With age, the physiological structure and function of the skin will change. For example, the stratum corneum of the elderly becomes thinner, the skin elasticity decreases, and the sweat glands and sebaceous glands function decreases. These changes may lead to different transepidermal water loss rates; establishing a unique identifier is like attaching an exclusive "label" to each test process, which runs through the entire process from data collection to result analysis; the skin surface cleaning step effectively removes external interference factors, so that the subsequent water vapor concentration measurement and stratum corneum thickness measurement can better reflect the true state of the skin.

[0062] The calculation method of the initial water vapor concentration change rate is as follows:

[0063]

[0064] in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration.

[0065] Accurately calculating the initial water vapor concentration change rate can provide accurate data for understanding the dynamics of skin water loss at the beginning of the test. The initial water vapor concentration change rate is the key input data for the subsequent calibration process, and its accuracy directly affects the accuracy of the entire transepidermal water loss test.

[0066] The modified model is:

[0067]

[0068] in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the stratum corneum of the skin, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient.

[0069] The revised model aims to comprehensively consider all key factors that affect transepidermal water loss, and accurately calibrate the rate of change of initial water vapor concentration. It can accurately measure the transepidermal water loss rate regardless of the changing scenes of daily environment or the different skin qualities and age differences of individuals. The model can be calibrated specifically for different situations such as weak skin barrier function of the elderly and vigorous skin metabolism of young people, as well as individuals with different thickness of stratum corneum due to skin care, diseases and other factors, providing exclusive data for skin care guidance, skin disease diagnosis, etc., such as providing accurate reference for formulating appropriate skin care plans for people with sensitive skin.

[0070] The transepidermal water loss rate is calculated as follows:

[0071]

[0072] in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

[0073] This formula achieves accurate quantification of transepidermal water loss, providing direct and reliable data support for the evaluation of skin barrier function; the proportional constant is a fixed coefficient obtained through a large number of experimental calibrations, which covers many factors such as the physical properties of water vapor diffusing from the skin surface to the sensor detection area, the sensitivity and response characteristics of the sensor; the distance between the skin surface and the water vapor concentration sensor also plays a key role. The distance directly affects the signal strength of the water vapor concentration detected by the sensor. The closer the distance, the higher the detected water vapor concentration, and vice versa.

[0074] Example 2

[0075] The present embodiment provides a transepidermal water loss detection system, comprising: an environmental sensor module, used to collect environmental parameters around a detection area in real time, and transmit the data to a data processing module; a user information input module, used to input personal information of a detected person, including but not limited to name, gender, age, and establish a unique identifier; a water vapor concentration detection module, including a non-contact water vapor concentration sensor, used to detect the water vapor concentration on the skin surface; a data processing module, receiving relevant data from the environmental sensor module, the user information input module and the water vapor concentration detection module, and calculating the initial water vapor concentration change rate, the corrected water vapor concentration change rate and the transepidermal water loss rate through a built-in algorithm;

[0076] The calculation method of the initial water vapor concentration change rate is as follows:

[0077]

[0078] in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration;

[0079] The corrected water vapor concentration change rate is:

[0080]

[0081] in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the stratum corneum of the skin, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient;

[0082] The transepidermal water loss rate calculation method is:

[0083]

[0084] in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

[0085] The environmental sensor module integrates high-precision temperature, humidity and air velocity sensors, which are distributed around the detection area and can capture various subtle changes in the environment in real time and accurately. The operator can conveniently enter the detailed personal information of the person being tested through the interactive interface of the user information input module. In addition to the basic name, gender and age, it can also supplement information such as occupation and living area that may affect the skin condition as needed. The water vapor concentration detection module continuously collects the water vapor concentration data on the skin surface at a fixed frequency and transmits it to the data processing module in real time to provide raw data support for the subsequent change rate calculation. After receiving data from other modules, the data processing module quickly calculates the initial water vapor concentration change rate according to the formula, in which the water vapor concentration value and initial value at each moment, as well as the corresponding time node, are accurately extracted; then, combined with the built-in correction model, environmental parameters, stratum corneum thickness and age in the user's personal information are introduced, and the water vapor concentration change rate is corrected by the pre-stored regression coefficient; finally, according to the formula, combined with the distance between the sensor and the skin and the calibrated proportional constant, the transepidermal water loss rate is calculated.

[0086] The system also includes a display module for displaying the transepidermal water loss rate and related environmental parameters, and can show the changing trend of the measurement data in the form of a chart; a storage module for saving the environmental parameters, measurement data and calculation results, and adding a timestamp for subsequent data tracing and analysis; an alarm module for issuing an alarm when an abnormal situation occurs during the detection process to ensure measurement safety.

[0087] The display module is directly connected to the data processing module, and receives and processes information such as transepidermal water loss rate and environmental parameters in real time. The storage module has a built-in large-capacity high-speed memory and adopts an advanced database management system. It not only accurately stores environmental parameters, measurement data and calculation results (initial water vapor concentration change rate, corrected water vapor concentration change rate, transepidermal water loss rate), but also adds a time stamp accurate to the second for each set of data. These timestamps are generated based on the high-precision clock built into the system to ensure the timing accuracy of data records. The data storage format follows the general standard, which is convenient for subsequent traceability query and statistical analysis using professional data analysis software. Whether it is reviewing individual long-term skin monitoring data or conducting in-depth mining of large-scale population detection data, it can be efficiently realized; the alarm module continuously monitors the operating status and data flow of the entire detection system. It has a series of built-in abnormal judgment thresholds, which are set based on a large amount of experimental data and clinical experience. For example, when the data transmitted by the water vapor concentration sensor fluctuates suddenly and significantly, exceeding the normal water vapor concentration range of ±30%, the system determines that there may be a sensor failure or abnormal skin irritation; for example, if the ambient temperature is too high (over 45°C) or too low (below 5°C), it may affect the detection accuracy and cause potential damage to the skin. At this time, the alarm module is quickly activated.

[0088] Example 3

[0089] This embodiment provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in Embodiment 1 are implemented.

[0090] Example 4

[0091] This embodiment provides a computing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of claims 1 to 6 when executing the program.

[0092] The present invention can accurately measure the patient's transepidermal water loss rate, and combined with environmental factors and individual skin characteristics analysis, help doctors more accurately judge the severity of the disease. During the treatment process, the changes in the transepidermal water loss rate are continuously monitored, and the doctor can timely understand the effectiveness of the treatment plan, such as whether drug treatment, phototherapy, etc. have promoted the repair of the skin barrier and whether the transepidermal water loss rate has been reduced, so as to flexibly adjust the treatment strategy according to the test results and improve the treatment effect; for patients with skin injuries such as burns and trauma, the system can be used to evaluate the skin repair process. During the wound healing process, the skin stratum corneum gradually recovers, and the transepidermal water loss rate will also change accordingly. Through regular testing, medical staff can grasp the regeneration status of the skin in real time, judge whether there are risks such as infection and poor healing, and provide a scientific basis for subsequent treatment and nursing measures, such as adjusting the type of dressing, increasing nutritional support, etc., to promote the early recovery of the patient's skin.

[0093] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. All equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for detecting transepidermal water loss, characterized in that: The following steps are involved: S1, using environmental sensors to collect and record ambient temperature, humidity and air flow velocity parameters around the detection area to obtain environmental parameters; S2, recording the age of the subject and measuring the thickness of the stratum corneum of the subject's skin by a testing instrument; S3, using a non-contact water vapor concentration sensor to detect the skin surface and obtain an initial value of the water vapor concentration; S4, continuously collecting water vapor concentration data on the skin surface within a set time interval, calculating an initial water vapor concentration change rate based on an initial value of the water vapor concentration, and correcting the initial water vapor concentration change rate using a correction model in combination with environmental parameters to obtain a corrected water vapor concentration change rate; S5, calculating the transepidermal water loss rate according to the corrected water vapor concentration change rate and the distance parameter between the skin surface and the water vapor concentration sensor.

2. A transepidermal water loss detection method according to claim 1, characterized in that: The S1 includes: The environmental parameters include ambient temperature, relative humidity and air flow velocity; The detected environmental parameters are saved and a timestamp is added to each set of parameters.

3. A transepidermal water loss detection method according to claim 1, characterized in that: The S2 includes: Record the personal information of the person being tested, including but not limited to name, gender, and age, and establish a unique identifier for tracking the entire testing process; Clean the surface of the skin to be tested and remove interfering factors; The stratum corneum thickness at the measurement site was measured multiple times and the average value was obtained.

4. A method for detecting transepidermal water loss according to claim 1, characterized in that: The calculation method of the initial water vapor concentration change rate is as follows: in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration.

5. A method for detecting transepidermal water loss according to claim 4, characterized in that: The modified model is: in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the skin stratum corneum, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient.

6. A method for detecting transepidermal water loss according to claim 5, characterized in that: The transepidermal water loss rate is calculated as follows: in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

7. A transepidermal water loss detection system, characterized in that: include: The environmental sensor module is used to collect environmental parameters around the detection area in real time and transmit the data to the data processing module; A user information input module is used to input the personal information of the person being tested, including but not limited to name, gender, age, and to establish a unique identifier; A water vapor concentration detection module, including a non-contact water vapor concentration sensor, for detecting the water vapor concentration on the skin surface; A data processing module receives relevant data from the environmental sensor module, the user information input module and the water vapor concentration detection module and calculates the initial water vapor concentration change rate, the corrected water vapor concentration change rate and the transepidermal water loss rate through a built-in algorithm; The calculation method of the initial water vapor concentration change rate is as follows: in, For time interval The rate of change of initial water vapor concentration in is the initial measurement time, is the measurement end time, is the initial value of water vapor concentration; The corrected water vapor concentration change rate is: in, is the rate of change of corrected water vapor concentration, For time interval The rate of change of initial water vapor concentration in is the ambient temperature, is the standard temperature, is the ambient humidity, is the standard humidity, is the air flow velocity, is the measured thickness of the stratum corneum of the skin, is the standard stratum corneum thickness value, is the age of the person being tested, is the standard age value, , , , , is the regression coefficient; The transepidermal water loss rate calculation method is: in, is the transepidermal water loss rate, is the proportionality constant, is the rate of change of corrected water vapor concentration, is the distance between the skin surface and the water vapor concentration sensor.

8. A transepidermal water loss detection system according to claim 7, characterized in that: Also includes: Display module, used to display transepidermal water loss rate and related environmental parameters, and can show the change trend of measurement data in the form of charts; The storage module saves environmental parameters, measurement data and calculation results, and adds timestamps for subsequent data tracing and analysis; The alarm module is used to sound an alarm when an abnormal situation occurs during the detection process to ensure measurement safety.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claims 1 to 6 are implemented.

10. A computing device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to claims 1 to 6 are implemented.

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