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Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback

机译:基于AnoDal和Cathodal TDC的神经反馈检测调制电动机皮层的检测

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Over the centuries, human aimed to achieve the ability to understand the inner functions of the mind and brain. One of the techniques to understand such functions is the application of neurofeedback. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing self-regulation of brain activities. Several techniques have been used in the application of neurofeedback to improve different kinds of brain-related conditions including attention capacity and other disabilities. However, literature shows that there are still chances of further improvement in this field, since neurofeedback often causes complications anxiety, discontent and discomfort. Therefore in this paper, we proposed a method to detect modulated motor cortex using anodal and cathodal tDCS based neurofeedback to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal using Electroencephalography(EEG) based neurofeedback data for twenty subjects. The accuracy of our proposed method is better than three other existing techniques on neurofeedback application. The experimental results demonstrate that our proposed method is suitable in the application of neurofeedback.
机译:几个世纪以来,人类旨在达到理解心灵和大脑的内心功能的能力。理解此类功能的技术之一是应用神经融合。神经反馈是通过允许自我调节脑活动来影响生理脑状况的过程。已经使用了几种技术在应用神经融合以改善不同类型的脑相关条件,包括注意力和其他残疾。然而,文献表明,这场领域仍有可能进一步改善,因为神经融合往往会导致并发症焦虑,不满和不适。因此,在本文中,我们提出了一种使用基于anoOdal和阴极TDC的神经反馈来检测调制电动机皮层的方法,以实现最佳导致神经融合的应用。所提出的方法对于使用基于脑电图(EEG)的神经融合数据进行二十个受试者,对阳极和阴极和阴极的准确度(98.67%)的精度(98.67%)较高。我们提出的方法的准确性优于三种关于神经融合应用的其他现有技术。实验结果表明,我们的提出方法适用于神经融合背面的应用。

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