A method for screening people with moderate sensitivity to fabric tactile perception

Abstract

This invention provides a method for screening a population with moderate sensitivity to fabric tactile perception. The method includes collecting first electroencephalogram (EEG), first electrocardiogram (ECG), and first electromyographic (EMG) signals generated by N users taking turns wearing the same smooth fabric in dynamic contact with their skin; and collecting second EEG, second ECG, and second EMG signals generated by N users taking turns wearing the same rough fabric in dynamic contact with their skin. Based on the N first and N second EEG signals, users meeting predetermined initial screening criteria are identified from the N users. Based on the N first, N first, N second, and N second EEG signals, users meeting predetermined final screening criteria are identified from the users meeting the predetermined initial screening criteria and the results are output. Implementing this invention ensures the accuracy of population screening, thereby eliminating errors caused by the unclassified population in previous clothing contact comfort tests.

Description

Technical Field

[0001] This invention relates to the field of human tactile sensitivity detection technology, and in particular to a method for screening people with moderate sensitivity to fabric tactile perception. Background Technology

[0002] Research on clothing contact comfort based on neuroelectrophysiology began as early as the 1990s. In the early stages of these studies, limited computing power resulted in relatively low data acquisition and analysis capabilities. These technical barriers made it difficult to obtain meaningful results from experiments based on neuroelectrophysiological signal detection, thus hindering the continued development of this research. In recent years, with the significant decrease in the cost of neuroelectrophysiological detection equipment and the significant improvement in computing power, the feasibility of this research has also increased. However, most recent studies have assumed that subjects have similar neuroelectrophysiological characteristics. Because this research premise directly leads to significant variability and uncertainty in experimental results, it is necessary to employ state-of-the-art, high-precision neuroelectrophysiological signal detection systems to obtain more meaningful and representative results.

[0003] Currently, research on clothing contact comfort based on human neurophysiological responses treats participants as a uniform population sample, leading to significant inter-individual variability in results and hindering the generation of stable and reliable comfort assessments. These variability is often treated as random error, further contributing to misleading results. In fact, clothing contact comfort experiments conducted without pre-classifying participants based on differences in tactile sensitivity often introduce unavoidable systematic errors—errors stemming from the participants themselves. Extensive experimental evidence has demonstrated that moderately sensitive individuals provide the most stable and reliable assessments of fabric contact comfort.

[0004] Therefore, it is necessary to provide a method for screening moderately sensitive populations, which can eliminate the errors caused by the subjects themselves in previous clothing contact comfort tests where the population was not classified before the experiment was conducted. By classifying and screening moderately sensitive populations, and then conducting subsequent contact comfort tests on this population, the reliability and reproducibility of such experiments can be greatly improved, and the experimental results can truly have statistical significance. Summary of the Invention

[0005] The technical problem to be solved by the embodiments of the present invention is to provide a method for screening people with moderate sensitivity to fabric tactile perception, which can ensure the accuracy of screening people and eliminate the error caused by the test population itself in the previous clothing contact comfort test where the people were not classified before the experiment was conducted.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a method for screening individuals with moderate sensitivity to fabric tactile perception, the method comprising the following steps:

[0007] The system collects first electroencephalogram (EEG), first electrocardiogram (ECG), and first electromyogram (EMG) signals generated by N users taking turns wearing the same smooth fabric in dynamic contact with their skin, and also collects second EEG, second ECG, and second EMG signals generated by the same N users taking turns wearing the same rough fabric in dynamic contact with their skin; where N is a positive integer greater than 1.

[0008] Based on the collected N first EEG signals and N second EEG signals, users who meet the predetermined initial screening criteria are obtained from the N users.

[0009] Based on the collected N first electrocardiogram signals, N first electromyogram signals, N second electrocardiogram signals, and N second electromyogram signals, users who meet the predetermined initial screening criteria are further identified and output from among the users who meet the predetermined final screening criteria.

[0010] The predetermined initial screening condition is that the percentage of alpha wave energy in the first EEG signal of the same user is greater than the percentage of alpha wave energy in the second EEG signal.

[0011] Among them, the first derivative curve of the cumulative energy of the alpha wave of the first EEG signal gradually decreases over time; the first derivative curve of the cumulative energy of the alpha wave of the second EEG signal shows a significant peak at the beginning stage, and then remains in a stable state.

[0012] The predetermined final screening conditions are that, for the same user, the heart rate variation coefficient of the first electrocardiogram signal is less than the heart rate variation coefficient of the second electrocardiogram signal, and the average value of the electromyographic waveform of the first electromyographic signal is less than the average value of the electromyographic waveform of the second electromyographic signal, and the area of ​​the electromyographic waveform of the first electromyographic signal is less than the area of ​​the electromyographic waveform of the second electromyographic signal.

[0013] The autonomic nervous system activity of the second electrocardiogram signal is higher than that of the first electrocardiogram signal.

[0014] All signals were acquired using neurophysiological signal acquisition equipment;

[0015] The neurophysiological signal acquisition device is a MindAngel UBR08 physiological signal acquisition device, which has 8 channels, a maximum sampling rate of 1000Hz, a common-mode rejection ratio of 125dB, and a background noise of less than 0.1µV.

[0016] Among them, the N users did not take any drugs that promote or inhibit nerves, and they had sufficient sleep the day before the experiment.

[0017] The experiment was conducted in an artificial climate chamber at a temperature of 25℃±1.4℃ and a relative humidity of 31±4.5%. Each user was allowed to enter the climate chamber for 30 minutes before the experiment. Users were required to remain still, close their eyes, and stay relaxed and alert throughout the experiment to avoid the influence of noise, blinking, drowsiness, or emotional tension during the measurement of EEG signals.

[0018] Implementing the embodiments of the present invention has the following beneficial effects:

[0019] This invention identifies moderately sensitive users by comparing the electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) signals generated when the same user comes into dynamic contact with smooth and rough fabrics. This ensures the accuracy of population screening and eliminates errors caused by the subjects themselves in previous clothing contact comfort tests where the population was not classified before the experiment was conducted. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0021] Figure 1 A flowchart illustrating a method for screening individuals with moderate sensitivity to fabric tactile perception, provided as an embodiment of the present invention;

[0022] Figure 2 This is an experimental paradigm diagram of a method for screening people with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention;

[0023] Figure 3 The following is a time-domain analysis diagram of the electroencephalogram (EEG) signal of a user who meets the predetermined initial screening criteria during dynamic contact between smooth fabric and skin, provided in an embodiment of the present invention for a method for screening people with moderate sensitivity to fabric tactile perception; wherein, (a) time-domain signal diagram of alpha waves; (b) cumulative energy curve of alpha waves; (c) first derivative curve of cumulative energy curve of alpha waves.

[0024] Figure 4 The following is a time-domain analysis diagram of the electroencephalogram (EEG) signal of a user who meets the predetermined initial screening criteria during dynamic contact between rough fabric and skin, provided in an embodiment of the present invention for a screening method for people with moderate sensitivity to fabric tactile perception; wherein, (a) time-domain signal diagram of alpha waves; (b) cumulative energy curve of alpha waves; (c) first derivative curve of cumulative energy curve of alpha waves.

[0025] Figure 5The following is an electrocardiogram analysis of a user (i.e., a moderately sensitive population) who meets the predetermined final screening criteria in a screening method for a population with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention during dynamic contact between smooth fabric and skin; wherein, (a) real-time heart rate graph; (b) RR interval histogram; (c) Poincaré scatter plot;

[0026] Figure 6 The following is an electrocardiogram analysis of a user (i.e., a moderately sensitive population) who meets the predetermined final screening criteria in a screening method for a population with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention during dynamic contact between rough fabric and skin; wherein, (a) real-time heart rate graph; (b) RR interval histogram; (c) Poincaré scatter plot;

[0027] Figure 7 Line graph comparing the percentage parameters of alpha wave energy when users (i.e., moderately sensitive people) who meet the predetermined final screening conditions have dynamic contact with two different fabrics and skin, in a screening method for people with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention.

[0028] Figure 8 Line graph comparing the heart rate variability parameters of users (i.e., moderately sensitive people) who meet the predetermined final screening conditions in a screening method for people with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention when they come into dynamic contact with two different fabrics and skin.

[0029] Figure 9 A line graph comparing the average electromyography waveform parameters of users (i.e., moderately sensitive people) who meet the predetermined final screening conditions in a screening method for people with moderate sensitivity to fabric tactile perception provided in an embodiment of the present invention when they come into dynamic contact with two different fabrics and skin.

[0030] Figure 10 This invention provides a method for screening individuals with moderate sensitivity to fabric tactile sensation, which includes a line graph comparing the electromyographic waveform area parameters of users (i.e., moderately sensitive individuals) who meet predetermined final screening criteria when they come into dynamic contact with two different fabrics and skin. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0032] like Figure 1 As shown in the figure, this is an embodiment of the present invention, which proposes a method for screening people with moderate sensitivity to fabric tactile perception. The method includes the following steps:

[0033] Step S1: Collect the first electroencephalogram (EEG), first electrocardiogram (ECG), and first electromyogram (EMG) signals generated by N users taking turns wearing the same smooth fabric in dynamic contact with their skin; and collect the second EEG, second ECG, and second EMG signals generated by the N users taking turns wearing the same rough fabric in dynamic contact with their skin; where N is a positive integer greater than 1.

[0034] Step S2: Based on the collected N first EEG signals and N second EEG signals, select users who meet the predetermined initial screening criteria from among the N users.

[0035] Step S3: Based on the collected N first electrocardiogram signals, N first electromyogram signals, N second electrocardiogram signals, and N second electromyogram signals, further obtain users who meet the predetermined final screening conditions from among the users who meet the predetermined initial screening conditions and output them.

[0036] The specific process is as follows: In step S1, N healthy adults are selected as subjects. These subjects have not taken any drugs that promote or inhibit nerve function and have ensured sufficient sleep the day before the experiment. The experiment is then conducted in an artificial climate chamber at a temperature of 25℃±1.4℃ and a relative humidity of 31±4.5%. Each subject is allowed 30 minutes after entering the climate chamber to allow them to acclimatize to the environment. Throughout the experiment, the subjects remain still, with their eyes closed, and in a relaxed and alert state to avoid the influence of noise, blinking, drowsiness, or emotional tension during the measurement of EEG signals.

[0037] The subjects were fitted with a neurophysiological signal acquisition device (MindAngel UBR08 physiological signal acquisition device, 8 channels, maximum sampling rate 1000Hz, common-mode rejection ratio 125dB, and background noise less than 0.1µV).

[0038] Secondly, two fabrics with significantly different surface roughness (e.g., smooth fabric and rough fabric) were selected and subjected to dynamic contact with the skin of the human forearm. The procedure consisted of five phases: a resting phase, a smooth fabric-skin dynamic contact phase, a resting phase, a rough fabric-skin dynamic contact phase, and a resting phase, each lasting 5 minutes. Electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) signals were collected throughout the entire process. The experimental paradigm is as follows: Figure 2 As shown. Therefore, we can obtain the first EEG signal, the first ECG signal, and the first EMG signal generated by N users taking turns wearing the same smooth fabric in dynamic contact with their skin, as well as the second EEG signal, the second ECG signal, and the second EMG signal generated by N users taking turns wearing the same rough fabric in dynamic contact with their skin.

[0039] In step S2, EEG signals are used as the initial screening indicator. The EEG signals are preprocessed and subjected to time-domain analysis to quickly identify users who meet the predetermined initial screening criteria. Specifically, the predetermined initial screening criteria are that the percentage of alpha wave energy in the first EEG signal is greater than the percentage of alpha wave energy in the second EEG signal within the same user. At this time, the first derivative curve of the cumulative alpha wave energy of the first EEG signal gradually decreases over time (e.g., ...). Figure 3 (c) As shown, the first derivative curve of the cumulative energy of the alpha wave of the second EEG signal shows a significant peak in the initial stage, followed by a sustained stable state (as shown in the image). Figure 4 (c) is shown.

[0040] like Figure 3 As shown in (a), the user who met the predetermined initial screening criteria showed a mild EEG response to dynamic contact between smooth fabric and skin, with alpha waves showing a trend of gradual suppression; while... Figure 4 As shown in (a), the user who meets the predetermined initial screening criteria exhibits a strong, short-duration alpha wave response at the initial stage of the rough fabric-skin dynamic contact, followed by a stable state of inhibition.

[0041] In step S3, the electrocardiogram (ECG) and electromyography (EMG) signals of users meeting the predetermined initial screening criteria are preprocessed and subjected to time-domain analysis to quickly identify users who meet the final screening criteria, i.e., the screened population belongs to the moderately sensitive population. At this point, the predetermined final screening criteria are that, for the same user, the heart rate variability coefficient of the first ECG signal is less than that of the second ECG signal, and the average value of the EMG waveform of the first EMG signal is less than that of the second EMG signal, and the area of ​​the EMG waveform of the first EMG signal is less than that of the second EMG signal. At this point, the autonomic nervous system activity of the second ECG signal is significantly higher than that of the first ECG signal.

[0042] like Figure 5 As shown, in the smooth fabric-skin dynamic contact phase, users who meet the predetermined final screening criteria exhibit enhanced sympathetic nerve activity and almost no vagal nerve activity; while... Figure 6 As shown, during the rough fabric-skin dynamic contact phase, the user who meets the predetermined final screening criteria shows that both the sympathetic and vagus nerves are involved, the heart rate variability is significantly increased, and the average value and waveform area of ​​the electromyography waveform are also increased.

[0043] Understandably, users who meet the predetermined final screening criteria are subjected to static and dynamic contact between the same fabric and their skin. By comparing the EEG, ECG, and EMG characteristics generated under the two contact methods, it is found that the patterns are consistent with the signal patterns of dynamic contact between different fabrics and skin, which further verifies that users who meet the predetermined final screening criteria belong to the moderately sensitive population.

[0044] Extract statistically significant parameters and create a line graph comparison chart (e.g.) Figure 7 , 8 As shown in Figures 9 and 10, it can be concluded that the moderately sensitive population exhibits stable neuroelectrophysiological responses to fabrics with different surface roughnesses, consistent with their physical properties. Among these, in... Figure 7 In the study, it was clearly observed that the percentage of alpha wave energy when each user was in contact with a smooth fabric was higher than the percentage of alpha wave energy when the same user was in contact with a rough fabric. Figure 8 In this study, it was clearly observed that the coefficient of variation of heart rate for each user in contact with smooth fabric was lower than that for the same user in contact with rough fabric. Figure 9 In the study, it was clearly observed that the average value of the electromyography (EMG) waveform when each user was in contact with a smooth fabric was lower than the average value when the same user was in contact with a rough fabric. Figure 10 In the study, it was clearly observed that the area of ​​the electromyography waveform when each user was in contact with a smooth fabric was lower than that when the same user was in contact with a rough fabric.

[0045] Statistical analysis of the subjects' subjective evaluation results revealed that the subjective scores of the screened sensitive population were consistent with the experimental results.

[0046] In summary, this invention can quickly and accurately screen out individuals with moderate sensitivity to the tactile sensation of fabrics.

[0047] Implementing the embodiments of the present invention has the following beneficial effects:

[0048] This invention identifies moderately sensitive users by comparing the electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) signals generated when the same user comes into dynamic contact with smooth and rough fabrics. This ensures the accuracy of population screening and eliminates errors caused by the subjects themselves in previous clothing contact comfort tests where the population was not classified before the experiment was conducted.

[0049] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as ROM / RAM, disk, optical disk, etc.

[0050] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for screening populations with moderate sensitivity to fabric tactile perception, characterized in that, The aforementioned population screening method determines moderately sensitive users by comparing the electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) signals generated when the same user comes into dynamic contact with smooth and rough fabrics, thereby ensuring the accuracy of population screening and eliminating the error caused by the subjects themselves in previous clothing contact comfort tests where the population was not classified before the experiment was conducted. Moderately sensitive individuals exhibit stable neurophysiological responses to fabrics with different surface roughness that are consistent with the physical properties of the fabric. The population screening method includes the following steps: The system collects first electroencephalogram (EEG), first electrocardiogram (ECG), and first electromyogram (EMG) signals generated by N users taking turns wearing the same smooth fabric in dynamic contact with their skin, and also collects second EEG, second ECG, and second EMG signals generated by the same N users taking turns wearing the same rough fabric in dynamic contact with their skin; where N is a positive integer greater than 1. Based on the collected N first EEG signals and N second EEG signals, users who meet the predetermined initial screening criteria are obtained from the N users. Based on the collected N first electrocardiogram signals, N first electromyogram signals, N second electrocardiogram signals, and N second electromyogram signals, among the users who meet the predetermined initial screening criteria, users who meet the predetermined final screening criteria are further identified and output. Users who meet the predetermined final screening criteria are those with medium sensitivity to fabric tactile perception. The predetermined initial screening condition is that the percentage of alpha wave energy in the first EEG signal is greater than the percentage of alpha wave energy in the second EEG signal in the same user. The first derivative curve of the cumulative alpha energy of the first EEG signal gradually decreases over time; the first derivative curve of the cumulative alpha energy of the second EEG signal shows a significant peak at the beginning stage, and then remains in a stable state. The predetermined final screening conditions are that the heart rate variation coefficient of the first electrocardiogram signal is less than the heart rate variation coefficient of the second electrocardiogram signal in the same user, and the average value of the electromyographic waveform of the first electromyographic signal is less than the average value of the electromyographic waveform of the second electromyographic signal, and the area of ​​the electromyographic waveform of the first electromyographic signal is less than the area of ​​the electromyographic waveform of the second electromyographic signal. The autonomic nervous system activity of the second electrocardiogram signal is higher than that of the first electrocardiogram signal.

2. The method for screening individuals with moderate sensitivity to fabric tactile perception as described in claim 1, characterized in that, The N users did not take any drugs that promote or inhibit nerve function, and they had sufficient sleep the day before the experiment.

3. The method for screening individuals with moderate sensitivity to fabric tactile perception as described in claim 2, characterized in that, The experiment was conducted in an artificial climate chamber at a temperature of 25℃±1.4℃ and a relative humidity of 31%±4.5%. Each user was tested 30 minutes after entering the artificial climate chamber. Users remained still, with their eyes closed, and in a relaxed and alert state throughout the experiment to avoid the influence of blinking, drowsiness, or emotional tension during the measurement of EEG signals.

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