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基于脑电图(EEG)频谱的织物触觉刺激的神经感知辨别。

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

机构信息

Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China.

Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.

出版信息

PLoS One. 2020 Oct 28;15(10):e0241378. doi: 10.1371/journal.pone.0241378. eCollection 2020.

Abstract

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.

摘要

在神经科学中,对织物-皮肤相互作用过程中的感觉感知的精确评估仍然知之甚少。本研究旨在通过脑电图(EEG)光谱强度来研究不同纺织品的织物刺激的皮质感觉反应,并评估 EEG 频带与传统主观问卷之间的关系,以及与材料物理性能之间的关系。招募了 12 名健康成年参与者来测试三种具有不同纺织成分的织物:1)棉,2)尼龙和 3)聚酯和羊毛。使用织物触感测试仪(FTT)对织物的物理性能进行定量评估。邀请受试者通过主观问卷和客观 EEG 记录来评估织物样本的感觉感知。对不同织物刺激的 EEG 相对频谱功率在 theta 和伽马频段上有显著差异(P<0.05)。theta 和伽马功率与通过问卷评估的大多数主观感觉以及 FTT 的织物物理性能具有显著相关性(P<0.05)。EEG 频谱分析可用于区分具有不同纺织成分的织物刺激,并且进一步指示织物刺激过程中的感觉感知。这一发现可能为通过 EEG 频谱分析进行感觉感知的进一步探索性研究提供证据,该研究可应用于未来义肢中皮肤触觉的脑发生器的研究以及工业中感觉感知的自动检测。

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