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Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra

The precise evaluation of sensory perceptions during fabric-skin interactions is still poorly understood in neuroscience. This study aims to investigate the cortical sensory response to fabric stimuli with different textiles by Electroencephalographic (EEG) spectral intensities, and evaluate the rel...

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Detalles Bibliográficos
Autores principales: Jiao, Jiao, Hu, Xiaoling, Huang, Yanhuan, Hu, Junyan, Hsing, Chihchia, Lai, Zhangqi, Wong, Calvin, Xin, John H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592732/
https://www.ncbi.nlm.nih.gov/pubmed/33112925
http://dx.doi.org/10.1371/journal.pone.0241378
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author Jiao, Jiao
Hu, Xiaoling
Huang, Yanhuan
Hu, Junyan
Hsing, Chihchia
Lai, Zhangqi
Wong, Calvin
Xin, John H.
author_facet Jiao, Jiao
Hu, Xiaoling
Huang, Yanhuan
Hu, Junyan
Hsing, Chihchia
Lai, Zhangqi
Wong, Calvin
Xin, John H.
author_sort Jiao, Jiao
collection PubMed
description The precise evaluation of sensory perceptions during fabric-skin interactions is still poorly understood in neuroscience. This study aims to investigate the cortical sensory response to fabric stimuli with different textiles by Electroencephalographic (EEG) spectral intensities, and evaluate the relationships between EEG frequency bands, traditional subjective questionnaires, and the materials’ physical properties. Twelve healthy adult participants were recruited to test three fabrics with different textile compositions of 1) cotton, 2) nylon, and 3) polyester and wool. The physical properties of the fabrics were quantitatively evaluated by a Fabric Touch Tester (FTT). Subjects were invited to rate the sensory perception of the fabric samples via a subjective questionnaire and objective EEG recording. Significant differences in the EEG relative spectral power of Theta and Gamma bands were acquired in response to the different fabric stimuli (P<0.05). The Theta and Gamma powers demonstrated a significant correlation with the most of the subjective sensations evaluated by questionnaire and the fabrics’ physical properties by FTT (P<0.05). The EEG spectral analysis could feasibly be used for the discrimination of fabric stimuli with different textile compositions and further indicates sensory perceptions during fabric stimulation. This finding may provide evidence for further exploratory research of sensory perceptions via EEG spectral analysis, which could be applied to the study of brain generators of skin tactility in future prostheses and the automatic detection of sensory perception in industries.
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spelling pubmed-75927322020-11-02 Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra Jiao, Jiao Hu, Xiaoling Huang, Yanhuan Hu, Junyan Hsing, Chihchia Lai, Zhangqi Wong, Calvin Xin, John H. PLoS One Research Article The precise evaluation of sensory perceptions during fabric-skin interactions is still poorly understood in neuroscience. This study aims to investigate the cortical sensory response to fabric stimuli with different textiles by Electroencephalographic (EEG) spectral intensities, and evaluate the relationships between EEG frequency bands, traditional subjective questionnaires, and the materials’ physical properties. Twelve healthy adult participants were recruited to test three fabrics with different textile compositions of 1) cotton, 2) nylon, and 3) polyester and wool. The physical properties of the fabrics were quantitatively evaluated by a Fabric Touch Tester (FTT). Subjects were invited to rate the sensory perception of the fabric samples via a subjective questionnaire and objective EEG recording. Significant differences in the EEG relative spectral power of Theta and Gamma bands were acquired in response to the different fabric stimuli (P<0.05). The Theta and Gamma powers demonstrated a significant correlation with the most of the subjective sensations evaluated by questionnaire and the fabrics’ physical properties by FTT (P<0.05). The EEG spectral analysis could feasibly be used for the discrimination of fabric stimuli with different textile compositions and further indicates sensory perceptions during fabric stimulation. This finding may provide evidence for further exploratory research of sensory perceptions via EEG spectral analysis, which could be applied to the study of brain generators of skin tactility in future prostheses and the automatic detection of sensory perception in industries. Public Library of Science 2020-10-28 /pmc/articles/PMC7592732/ /pubmed/33112925 http://dx.doi.org/10.1371/journal.pone.0241378 Text en © 2020 Jiao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jiao, Jiao
Hu, Xiaoling
Huang, Yanhuan
Hu, Junyan
Hsing, Chihchia
Lai, Zhangqi
Wong, Calvin
Xin, John H.
Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title_full Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title_fullStr Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title_full_unstemmed Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title_short Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra
title_sort neuro-perceptive discrimination on fabric tactile stimulation by electroencephalographic (eeg) spectra
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592732/
https://www.ncbi.nlm.nih.gov/pubmed/33112925
http://dx.doi.org/10.1371/journal.pone.0241378
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