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

被引：76
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
收藏
页码：836 / 841
页数：6
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