波形
脑电图
信号(编程语言)
计算机科学
噪音(视频)
信号平均
诱发电位
模式识别(心理学)
语音识别
人工智能
听力学
神经科学
心理学
医学
模拟信号
数字信号处理
信号传递函数
电信
雷达
图像(数学)
程序设计语言
计算机硬件
作者
Shin Ichi Nishida,Masatoshi Nakamura,Hiroshi Shibasaki
标识
DOI:10.1016/0141-5425(91)90027-5
摘要
Evoked potentials are the brain's responses to incoming stimuli and are usually recorded under noisy circumstances. To improve the signal-to-noise ratio, signal averaging has been widely applied to the recorded data, but an improved method is required. A method of EEG waveform prediction for the accurate recording of evoked potentials is proposed, and an electroencephalographic waveform predicted by using an EEG model and a nonlinear exponentially weighted least squares method, subtracting the predicted EEG waveform from the raw data and extracting the evoked waveform. By the use of this method, we have successfully predicted the EEG waveform and detected the evoked potential with only a small number of averages.
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