脑电连接-基于信息的协同自适应线增强器的脑状态识别

S. Sanei, C. C. Took, D. Jarchi, A. Procházka
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引用次数: 0

摘要

睡眠纺锤波的爆发和阵发性快速脑活动波形有频率重叠,而通常情况下,阵发性波形的持续时间比纺锤波短。两者都类似于闭着眼睛清醒时短暂休息时的正常α活动爆发。本文的研究表明,对于一种既能检测又能分离此类周期突发的合作自适应线增强器,其组合权值始终不同。这一结果表明,为了准确地模拟脑神经发生器,必须精确地估计大脑的连通性,并将其纳入适应过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State
Bursts of sleep spindles and paroxysmal fast brain activity waveforms have frequency overlap whilst generally, paroxysmal waveforms have shorter duration than spindles. Both resemble bursts of normal alpha activity during short rests while awake with closed eyes. In this paper, it is shown that for a proposed cooperative adaptive line enhancer, which can both detect and separate such periodic bursts, the combination weights are consistently different from each other. The outcome suggests that for accurate modelling of the brain neuro-generators, the brain connectivity has to be precisely estimated and plugged into the adaptation process.
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