OPTIMAL DETECTION, CLASSIFICATION, AND SUPERPOSITION RESOLUTION IN NEURAL WAVE-FORM RECORDINGS

被引：75

作者：

BANKMAN, IN ^{[1
]}

JOHNSON, KO ^{[1
]}

SCHNEIDER, W ^{[1
]}

机构：

[1] JOHNS HOPKINS UNIV,DEPT NEUROSCI,BALTIMORE,MD 21205

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1993年 / 40卷 / 08期

关键词：

D O I：

10.1109/10.238472

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The effects of noise autocorrelation on neural waveform recognition (detection, classification, and superposition resolution) are investigated in this study using microelectrode recordings from the cortex of a monkey. Optimal waveform recognition is accomplished by passing the data through a whitening filter before matched filtering for detection or template matching for classification and superposition resolution. Template matching without whitening requires about 40% higher signal-to-noise ratio than template matching with whitening for comparable classification and superposition resolution. The comparable difference for detection is 15%.

引用

页码：836 / 841

页数：6

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