Biomedical Systems Laboratory, Multimedia, Analytics, Networks and Systems Group, School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India.
J Med Syst. 2020 Mar 12;44(4):85. doi: 10.1007/s10916-020-1535-7.
Non-invasive brain electrical stimulation (NIBES) techniques are progressively used for modulation of neuronal membrane potentials, which alters cortical excitability. The neuronal activity depends on position of channel locations for electrodes and the amount and direction of injected weak current through the target neurons area. In the present paper hybrid near infrared spectroscopy and electroencephalogram (NIRS-EEG) open access dataset for brain computer interface (BCI) has been used to find the best locations for NIBES. The percentage oxygen saturation has been calculated with the help of provided NIRS experimental dataset of changes in concentration of oxy-hemoglobin (HbO) and deoxy-hemoglobin (Hb) in thirty-six scalp site locations of twenty-eight healthy subjects. The variation in standard deviation have been calculated for given pre-processed EEG signals of thirty locations for same twenty-eight healthy subjects. The statistical one-way ANOVA method has been used to find out the best channels and locations which are having less variation in all motion artifacts. In this method, F value is calculated for these locations and those locations are selected which are significant at 99% confidence interval (P < 0.01). In this study, out of sixty-six locations sixteen best locations have been selected for non-invasive brain electrical stimulation. This pilot study has been used to find out the appropriate locations on the scalp sites to place the electrodes to provide weak direct current stimulation which are less affected by motion artifacts.
非侵入性脑电刺激（NIBES）技术逐渐用于调节神经元膜电位，从而改变皮质兴奋性。神经元活动取决于电极的通道位置以及通过目标神经元区域注入的弱电流的数量和方向。在本文中，混合近红外光谱和脑电图（NIRS-EEG）脑机接口（BCI）开放访问数据集用于找到 NIBES 的最佳位置。借助提供的 NIRS 实验数据集，计算了三十六个头皮位置中氧合血红蛋白（HbO）和脱氧血红蛋白（Hb）浓度变化的百分比氧饱和度，在二十八位健康受试者中。对于相同的二十八位健康受试者的三十个位置的给定预处理 EEG 信号，计算了标准偏差的变化。使用统计的单向方差分析方法来找出具有较少运动伪影变化的最佳通道和位置。在这种方法中，为这些位置计算 F 值，并选择在 99％置信区间（P <0.01）处具有显著性的位置。在这项研究中，在六十六个位置中选择了十六个最佳位置进行非侵入性脑电刺激。这项初步研究旨在找出头皮位置上的适当位置放置电极，以提供受运动伪影影响较小的弱直流电刺激。
