This paper aims to investigate whether electroencephalography (EEG) technology is effective in qualifying the tactile sensation evoked by non-steady cutaneous electrical stimulation. EEG is a novel method for electrotactile analysis and has demonstrated the discrimination ability for electrotactile sensation under steady contact conditions in recent years. However, in non-steady contact conditions, it is necessary to test its effectiveness. This study aims to explore an objective analysis method in comparison to psychophysical approach and to provide a methodology for non-steady electrotactile research.,With EEG experimentation on 13 volunteers, the authors collected evoked potentials by the predesigned “1” and “0” stimulation events. In addition, with a series of data preprocessing including artifact elimination, band-pass filtering, baseline normalization, data superposition and fast Fourier transform transformation, the authors got the power spectrum of alpha, beta and gamma rhythms. Furthermore, statistics analysis and ANOVA test were adopted for exploring the discrepancy of the spectrum characterizations for different non-steady electrostimulation events.,The EEG power spectrum of the central cortical brain is valuable in discriminating the two types of stimulation events. The power of alpha rhythm especially in the central cortical brain evoked by event “1,” whose current level is equal to the threshold, was significantly lower than that evoked by event “0,” whose level is less than the threshold (p < 0.05). Then, the power of the beta rhythm presented counter-change (p < 0.05). This study suggests that EEG may have the potential to qualify non-steady electrotactile sensation for engineering applications.,Limiting factors of non-steady electrotactile stimulation were considered in this study. Different tapping frequency and contact time should be investigated in future studies.,This paper fulfills a challenge in qualifying the tactile sensations evoked by non-steady electrical stimulation with EEG characteristics.

中文翻译：

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具有脑电图特征的非稳态皮肤电刺激诱发的合格触觉

本文旨在研究脑电图 (EEG) 技术是否能有效地鉴定非稳态皮肤电刺激引起的触觉。脑电图是一种新的电触觉分析方法，近年来已经证明了在稳定接触条件下对电触觉的辨别能力。但是，在非稳态接触条件下，有必要测试其有效性。本研究旨在探索一种与心理物理学方法相比的客观分析方法，并为非稳态电触觉研究提供一种方法论。,作者通过对 13 名志愿者的脑电图实验，通过预先设计的“1”和“0”刺激收集诱发电位事件。此外，通过一系列的数据预处理，包括伪影消除、带通滤波、通过基线归一化、数据叠加和快速傅里叶变换变换，作者得到了 alpha、beta 和 gamma 节律的功率谱。此外，采用统计分析和方差分析检验不同非稳态电刺激事件的频谱特征的差异。中枢皮质脑的 EEG 功率谱对于区分两种类型的刺激事件很有价值。α节律的力量，特别是在当前水平等于阈值的事件“1”诱发的中枢皮质脑中，显着低于由水平小于阈值的事件“0”诱发的α节律（p < 0.05 ）。然后，β 节律的力量呈现出反变化（p < 0.05）。这项研究表明，脑电图可能具有将非稳态电触感用于工程应用的潜力。本研究考虑了非稳态电触觉刺激的限制因素。在未来的研究中应研究不同的敲击频率和接触时间。,本文解决了对具有 EEG 特征的非稳态电刺激诱发的触觉进行限定的挑战。