Analysis of brain signal processing and real-time EEG signal enhancement
Analysis of brain signal processing and real-time EEG signal enhancement
复制标题
大脑信号处理分析及实时脑电信号增强
DOI：
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发表时间：
2022
影响因子：
3.6
通讯作者：
V. Kushwah
中科院分区：
文献类型：
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作者：
Prakash Chandra Sharma;R. Raja;S. Vishwakarma;Sanjiv Sharma;P. Mishra;V. Kushwah
大脑信号可以用各种技术获取和分解，如本文所述。脑电图（EEG）信号被各种常规信号（即与肌肉动作、眼睛发育和身体运动相关的信号）所破坏，这些信号具有非脑起始。这些传统的结果比大脑电运动的结果要上级，因此它们掩盖了感兴趣的皮层信号，带来了片面的调查。一些视觉受损的源分区技术已经被创建，以从EEG帐户中排除古老的稀有物。在所有情况下，用于估计多通道记录内的分离的迭代过程在计算上是不可移动的。好奇心部分需要一个繁琐的分离过程，除了身体。本文提出了一种基于权威连接检验（CCA）和高斯混合模型（GMM）的新奇驱逐计算方法，以扩展EEG信号的性质。特别是，可以利用各种技术来研究EEG体征，提出了一系列策略，非常适合简化癫痫发作的自动检查和结论。
Cerebrum signals can be acquired and broken down with various techniques, as represented in the paper. Electroencephalogram (EEG) signals are damaged by various conventional i.e. signals related to muscle action, eye development, and body movement, which have non-cerebral inception. The outcomes of such traditions are superior to that of the cerebrum’s electrical movement, so they cover the cortical signs of interest and bring a one-sided investigation. A few visually impaired source partition techniques have been created to expel ancient rarities from the EEG accounts. The iterative procedure for estimating detachment inside multichannel chronicles is computationally immovable in all cases. The curiosity segments require a tedious disconnected procedure except physically. The proposed work gives a curio expulsion calculation that depends on the authoritative connection examination (CCA) and Gaussian Mix-Model (GMM) to expand the nature of signs of EEG. In particular, EEG signs can be investigated utilizing various techniques, proposing a mix of strategies ideal for simplicity of automated examination and conclusion of epileptic seizures.
DOI：
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发表时间：
1997-12
期刊：
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影响因子：
--
作者：
T. Jung;Colin J. Humphries;Te-Won Lee;S. Makeig;M. McKeown;V. Iragui;T. Sejnowski
通讯作者：
T. Jung;Colin J. Humphries;Te-Won Lee;S. Makeig;M. McKeown;V. Iragui;T. Sejnowski
DOI：
10.1037/0096-1523.17.4.1057
发表时间：
1991-11-01
影响因子：
2.1
作者：
MANGUN, GR;HILLYARD, SA
通讯作者：
HILLYARD, SA