Abstract
Despite the importance of clothing pressure discomfort in the undergarment industry, a reliable unbiased measurement of clothing pressure discomfort has not been well-established. In the present study, we investigate changes in brain wave activity as a potential objective and consistent measuring tool for clothing pressure discomfort. We recorded α wave activity in 5 functional regions (30 channels) of the brain in 10 females with or without a girdle. We determined that α wave power spectrum significantly increases when the girdle is worn compared to when it is not worn, specifically in the parietal and occipital regions. These findings suggest that clothing pressure exerted by wearing a girdle mostly stimulates the parietal and occipital regions and that these regions should be investigated in future studies using α wave energy to measure clothing pressure discomfort.
1 Introduction
Girdles are functional undergarments that fit tightly around the waist to improve waist and abdomen shape. The excessive pressure of overly tight girdles not only result in discomfort but also squeeze the organs within the body, resulting in organ and neural system disorders, poor blood circulation, menoxenia, poor digestion and constipation[1, 2, 3, 4]. Thus, evaluation of clothing pressure comfort is one of a key technique in the underwear industry.
Traditionally, clothing pressure comfort is evaluated subjectively. However, this evaluation method results in unstable and unreliable data. To reduce variability, novel evaluations systems incorporate principles of physio-psychology theories and physical discomfort.
One such evaluation method utilizes brain waves. Brain wave-based evaluation has recently been used to objectively assess clothing aesthetics [5, 6] and heat, moisture [7], touch [8], and pressure comfort [9]. While these studies [10, 11] detected a change in the ratio of time a specific brain wave, the α wave, was dominant, these ratios (α wave indexes) varied considerably and were considered unreliable. Thus a more consistent measure of changes in the α wave needs to be developed in order for brain waves to be used as a more objective measure for clothing pressure comfort.
In the present study [12, 13] we examined α wav intensity in various regions of the brain stimulated by different clothing pressures along the waist to determine their utility as an alternative measurement of clothing pressure discomfort. Our work lays the foundation for relevant research on objective clothing pressure measurements and contributes to the physio-psychology study on the body’s response to clothing pressure stimulus.
2 Experiment
2.1 Subjects
A total of 10 young females with similar body shapes were chosen as the subject, and the feature data of their body shapes should fall within the pre-defined range. In order to ensure consistency with subsequent brain wave experiment, the subjects must be as healthy as required in the brain wave test. The range of the physical characteristics is shown in Table 1.
Range of physical characteristics for experimental subjects
Age | Height | Weight | BMI | Under Bust | Waist Circumference | Abdominal Circumference | Hip Circumference |
---|---|---|---|---|---|---|---|
24±2 | 160±4 | 49±3 | 19-22 | 72±3 | 64±3 | 72±3 | 87±3 |
(Year-old) | (cm) | (kg) | (kg·m2) | (cm) | (cm) | (cm) | (cm) |
2.2 Experimental material
A girdle (Figure 1) consisting of nylon and spandex was utilized in the study (Table 2). The girdle was designed to provide common girdle functions including breast support, waist narrowing, abdomen flattening and hourglass body curvature. Girdles size S (waist: 61-67cm; circumference 83-93) was used (Table 2).

The girdle in experiment
Information of experimental samples
Fabric | Fiber | Quantity of Plastic Bone | Position of Hook | Size | Applicable Size Range for No. 64 |
---|---|---|---|---|---|
Elastic Mesh Fabric | Fabric: Nylon 81%, Spandex 19% | 7 PCS | Frontal | 64 (S) | Waist Circumference: 61-67cm |
Lining: Nylon 74%, Spandex 26% | Hip Circumference: 83-93cm |
The girdle consists of a two-layer elastic mesh distributed bilaterally, two small non-elastic sections located along the waist with one larger elastic component, an piping, and a layer of non-elastic fabric in the middle of the two layers of elastic cloth. The girdle has hooks on both sides of the non-elastic part. The piping acts as a support and separates the fabric in the various girdle sections to produce a smooth curved appearance along the waist.
2.3 Experimental equipment
The U.S. Neuroscan EEG/ERPS NuAmps, portable 40-electrode digital DC, and EEG/ERPs amplifier were used to record brain waves. Five
functional regions of the brain were defined: the frontal lobe region F (FP1, FP2, F3, F4, FZ, F7, F8, FT7, FC3, FCZ, FC4, FT8), lobes temporalis region T (T3, T4, TP7, TP8, P7, P8), central region C (C3, CZ, C4), parietal region (P3, PZ, P4, CP3, CPZ, CP4), and the occipital region O (O1, O2, OZ). The electrodes were organized along these regions as shown in Figure 2.

Measurement placement
2.4 Experimental conditions
Data collection was conducted in the brain wave laboratory at a constant temperature (25±2℃) and moisture (65±2℃). The laboratory was effectively shielded from electromagnetic waves. Participants had sufficient sleep the night before testing, and cleaned their hair, did not apply oil or fat substances, and did not perform violent exercises or undergo emotional fluctuations prior to testing. During the experiment, the participants wore the girdle (without a bra) in order to eliminate interference from other clothes.
2.5 Experimental process
The process of brain wave measurement is shown in Table 3. Brainwaves for participants were recorded with and without the girdle with the electrode set at different positions. Prior to each recording session, the participants were allowed to relax by sitting quietly and listening to light music for 30 minutes. Brainwaves were then recorded for 1 minute. The subjects were not permitted to do anything irrelevant to the experiment. Prior to recording sessions, the electrode cat was connected to the amplifier and specific parameters were set.
Measurement process
Wear Girdle | Not Wear Girdle | ||
---|---|---|---|
Relax | Brainwave Reading | Relax | Brainwave Reading |
Sitting | Sitting | ||
30min | 1min | 30min | 1min |
During data recording, the electric resistance was maintained at a level under 5 KW and the digital sampling rate was 1000Hz. The average brainwave of the electrodes when they are placed above the mastoid bone was used as a reference brainwave. A set of brain wave data was collected beforehand to determine that the baseline and electrodes were correctly set up.
2.6 Data processing and analysis
Power spectrum analysis was adopted for frequency-domain processing of the brain wave data. Relative brainwave spectrum was used as a metric of brain wave rhythm in order to compare brainwave spectrums across different individuals. The relative power is defined as the ratio between the absolute power of a specific frequency band and the total power of all frequency bands.
The brain wave data from 30 electrodes was pre-processed by implementing the following steps: electrooculographic integration, DC correction, electrooculographic elimination, baseline correction, filtering, MARK-free brain wave fragmentation (511ms-long brain wave signal with 512 sampling points), and frequency-domain overlapped averaging (Hanning window function). The pre-processed data then underwent offline analysis to generate brain wave power data across four frequency bands. After which, SPSS 15.0 was utilized to analyze the relative power of the a wave under each condition.
3 Results
3.1 Impact of clothing pressure on the a wave power
To determine whether α wave power can be used as a reliable measure for clothing pressure comfort, we examined changes in power in 10 female participants with and without a girdle using an electrode located along the parietal region (point P3). Data from subject B is shown to illustrate data analysis results.
As shown for subject B, the maximum power spectrum of the α wave significantly decreases when pressure is applied to the waist (Figure 3; 0.6mV2) when compared to when no pressure is applied (Figure 4; 2mV2), indicating that the a wave intensity decreases when pressure is applied to the waist.

Power spectrum of subject B with the girdle

Power spectrum of subject B without the girdle
Energy analysis of the a wave power spectrum revealed that wave length intensity was significantly different for participants when the girdle was worn when compared to when the girdle was off (Table 4; P≤0.01). Taken together, the data suggests that α wave intensity significantly differs based on clothing pressure.
Analysis on intensity of a wave with and without girdle
Factor | III type sum of squares | df | Mean square | F | Sig. |
---|---|---|---|---|---|
Position | 23.997 | 29 | .827 | 18.246 | .000 |
Status | 3.564 | 1 | 3.564 | 78.584 | .000 |
Position×Status | 1.392 | 29 | .048 | 1.058 | .381 |
3.2 Impact of clothing pressure on a wave power under different electrode locations
To determine if changes in α wave intensity are impacted by the location of the electrode, we compared α wave intensity recorded at 30 different locations when participants were and were not wearing a girdle. Duncan analysis of
homogeneous subsets, where the electrode location was defined as a subgroup, revealed that the 30 tested electrode locations could be grouped into four subsets: subset 1 in the occipital and parietal regions (CP3, PZ, P3, O1, O2, OZ), subset 2 in the frontal, central and parietal regions (FC3, FZ, F7, FT7 , FCZ, CPZ, C3, F3, CZ), subset 3 in the frontal and parietal regions (FT8, FC4, CP4 , FP2, F4, P4, FP1, F8), and subset 4 in the temporal region (C4, P8, T4, TP8, T3, TP7, P7) with the exception of location C4 located in the central region. These findings indicate that the a wave power spectrum recorded from electrodes in locations within the same subset were similar. In Figure 5 using different red to show different wave power, the darker color means the higher a wave power. This figure clearly indicates that clothing pressure exerted by wearing a girdle mostly stimulates the parietal and occipital regions.

a wave power spectrum of 30 electrodes distribution map
3.3 Individual difference between subjects
To determine if electrode locations are similar among individuals, the results of the Duncan analysis of homogeneous subsets for each participant was compared. Data analysis showed that the grouping of locations with similar differences in α wave intensities for clothing state (wearing or not wearing girdle) differs for each individual. For example, Duncan homogenous subset analysis of brain wave data recorded from subject A revealed that the 30 electrode locations could be classified into 6
subsets: subset 1 in the occipital region (CP3, CPZ, CP4 , O1, O2, OZ), subset 2 in the parietal and frontal regions (P3, PZ, P4, F3, FZ, F4), subset 3 along the frontal region (FP1, FP2, F7, F8, FT7), subset 4 in the frontal lobe region (FC3, FCZ, FC4, FT8), subset 5 along the central region (T3, C4, C3, CZ, TP7)and subset 6 within the temporal region. (T4, TP8, P7, P8)with some exceptions (T3 of subset 5 was located in the temporal region). However, in both subjects A and B, electrodes recording similar α wave intensities were located in close proximity to each other. In order of descending differences in a wave spectral energy between wearing and not wearing a girdle, the subset recording location options for the subsets of electrode locations were the occipital, parietal, frontal, central, and temporal regions.
4 Discussion
The present study demonstrated that brainwaves display clearly different patterns under different clothing pressures. Participants wearing girdles were found to have significantly lower a wave spectral energy than when the girdle was not worn, indicating that increased clothing pressure inhibits the a wave.
Our findings are consistent with Yin [10] study investigating the length of time that the α wave is the dominant brain wave during different clothing pressures. They determined that the α wave index (the ratio of time that the α wave was dominant to the total time clothing pressure was experienced) decreased with increasing clothing pressure
The presented findings and evidence from earlier studies suggest that the α wave may change during uncomfortable experiences. This hypothesis is bolstered by Sisode [14], Nie [15] et al. studies on the relationship between a wave intensity and emotional and mental states.
In the study, α wave intensity was high in the occipitalia and pars cupularis regions of the brain of relaxed participants. However, when the participants experienced anger, fear or excitement, a wave intensity decreased. The decrease in α wave intensity during emotional extremes and during increased clothing
pressure, suggests that decreases in α wave intensity may indicate feelings of discomfort or uneasiness.
We also determined that changes in α wave power differs in different regions of the brain and that similar changes in power occur in regions in close proximity to each other. Duncan homogenous subset analysis of the difference in a wave power spectrum at 30 electrode locations showed that the subset distribution is consistent with the functional regions of brain. The change in α wave spectral energy at different clothing pressures was greatest in parietal and occipital regions. No significant changes were observed in the frontal and temporal regions. Hence, clothing pressure primarily stimulates the occipital and parietal lobes of the brain.
These significant changes in the parietal and occipital regions may be due to the fact that the α wave is highest in the occipitalia and pars cupularis, located in the occipital lobe [16]. The parietal and occipital lobes are also major brain regions activated by somatosensory stimulus. The α wave is highest in the occipital lobe, followed by the parietal, frontal and temporal lobes [17].
Future studies on whether the stimulated brain regions vary when different body parts are under clothing pressure would further elucidate the relationship between changes in α waves and clothing pressure sensations and to develop a more refined and objective measurement of clothing pressure comfort for the real-world applications.
5 Conclusions
a wave power decreases under increased clothing pressure, demonstrating that clothing pressure on the waist inhibits a wave energy, indicating increased discomfort.
The difference in a wave spectral energy under different clothing pressures were significant in occipital and parietal regions, but not in frontal, central and temporal regions of the brain. These findings suggest that the occipital and parietal regions constitute the major brain areas stimulated by clothing pressure and would provide optimal locations for recording changes in α wave energy in future studies.
Acknowledgments
The authors would like to express their sincere gratitude for the support from the Young Teacher Training Program of Minjiang University. Funded by Collaborative Innovation Center of Modern Clothing Technology ,Science Foundation of Minjiang University (Grant:MYK18015) and Science Foundation of Education Department Henan Province(Grant:14A540005).
References
[1] Y. Sone, N. Kato, Y. Kojima, N. Takasu, H. Tokura. Effects of skin pressure by clothing on digestion and orocecal transit time of food. Journal of Physiological Anthropology and Applied Human Science. 2000;19 (3): 157-163.10.2114/jpa.19.157Suche in Google Scholar PubMed
[2] X. Q. Dai, Y. H. Lu, H. Lin, L. Bai. Mechanisms of control of human skin blood flow under external pressure. Biological Rhythm Research.2012;43(3):267–278.10.1080/09291016.2011.571027Suche in Google Scholar
[3] M. Yuki, K. Essuko and T. Hiromi. Effects of pressure on the skin exerted by clothing on response of urinary catecholamine and cortical, heart rate and nocturnal urinary melatonin in humans. Int J Biometeorology.2002;47 (1): 1-5.10.1007/s00484-002-0145-zSuche in Google Scholar PubMed
[4] S.Y. Park, W. G. Yoo. Effect of wearing a tight waist belt on the sagittal kinematics of the pelvis during sit-to-stand. J.Phys. Ther.2014;26(3):435-436.10.1589/jpts.26.435Suche in Google Scholar PubMed PubMed Central
[5] M. Cheung, D. Law, J. Yip. Evaluating aesthetic experience through personal-appearance styles: a behavioral and electrophysiological study. PLoS ONE.2014; 9(12): e115112. doi:10.1371/ journal. pone. 011511210.1371/Suche in Google Scholar
[6] L.Cai. Aesthetic evaluation of clothing color brightness combination: behavioral and electrophysiological study. Advances in Psychology.2016;6(5):636-643.10.12677/AP.2016.65083Suche in Google Scholar
[7] H. Bang, H. Kim. Assessment of the wearing comfort of clothing for the elderly women by EEG and ECG Analyses. Fashion and Textile Research Journal.2012;14(6):1010-1017.10.5805/KSCI.2012.14.6.1010Suche in Google Scholar
[8] Y. Wang, Y. Wang, M. Zhao, M. Yu and J. Li. Experimental study of clothing tactile comfort based on electro-neurphysiology. Fibers and Textile in Eastern Europe.2014;22(4):102-106.Suche in Google Scholar
[9] J. Choi, N. Kim, Y. Wu and K. Hong. Effects of 3D compression suits on EEG analysis during and after walking. Journal of the Korean Society of Clothing and Textiles.2014;38(4) :440-454.10.5850/JKSCT.2014.38.4.440Suche in Google Scholar
[10] L. Yin. Study on pressure comfort in wearing a waist-nipper on the basis of human’s heart rate variability and electroencephalogram. Doctoral Dissertation of Donghua University, Shanghai, China, 2012.Suche in Google Scholar
[11] Y. Horiba, M. Kamijo, T. Sadoyam, Y. Shimizu, K. Sasaki, H. Shimizu. Effect on brain activity of clothing pressure by waist belts. Kansei Engineering International. 2000; 2 (1):1-8.10.5057/kei.2.1Suche in Google Scholar
[12] Y. Liu, D. Chen. The influence of clothing pressure exerted by girdle on inhibition ability of young females. International Journal of Clothing Science and Technology.2016; 28 (5): 712-722.10.1108/IJCST-07-2015-0085Suche in Google Scholar
[13] Y. Liu, D. Chen. An analysis on EEG power spectrum under pressure of girdle. International Journal of Clothing Science and Technology.2015; 27 (4):495-505.10.1108/IJCST-05-2014-0065Suche in Google Scholar
[14] A. A. Sisode. Emotions and brain waves. The International Journal of Indian Psychology.2016; 3 ( 2): 14-18.10.25215/0302.075Suche in Google Scholar
[15] Nie Dan, Wang Xiaowei, Duan Ruonan,et al. A survey on EEG based emotion recognition. Chinese Journal of Biomedical Engineering.2012; 31 (4):595-606.Suche in Google Scholar
[16] Y. Chen, M. Zhang. SEP: New research results suggest that EEG like a analyzer of stimulation time. Foreign Medical Sciences (Physical Medical and Rehabilitation). 1995; 15(2):75-76.Suche in Google Scholar
[17] X. Hu, N.Tang. Basic principle of SEP. Foreign Medical Sciences (Physical Medical and Rehabilitation). 2005;15 (2):53-55.Suche in Google Scholar
© 2019 Yunjuan Liu, Yan Wang, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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