A slope-based approach to spike discrimination in digitized data

Jan H. Cocatre-Zilgien; Fred Delcomyn

doi:10.1016/0165-0270(90)90028-E

A slope-based approach to spike discrimination in digitized data

Jan H. Cocatre-Zilgien, Fred Delcomyn

Research output: Contribution to journal › Article › peer-review

Abstract

A spike discrimination algorithm based on the analysis of spike up- and down-slopes can advantageously replace those based only on amplitude with a minimal increase of programming complexity and processing time. Such an algorithm was developed to sort muscle depolarizations from nerve spikes in electromyograms in insects. It could also be used to sort spikes according to their direction of travel in bipolar recordings from mixed nerves.

Original language	English (US)
Pages (from-to)	241-249
Number of pages	9
Journal	Journal of Neuroscience Methods
Volume	33
Issue number	2-3
DOIs	https://doi.org/10.1016/0165-0270(90)90028-E
State	Published - Aug 1990

Keywords

Algorithm
Bipolar recordings
Spike discrimination
Spike slope

ASJC Scopus subject areas

General Neuroscience

Online availability

10.1016/0165-0270(90)90028-E

Library availability

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abstract = "A spike discrimination algorithm based on the analysis of spike up- and down-slopes can advantageously replace those based only on amplitude with a minimal increase of programming complexity and processing time. Such an algorithm was developed to sort muscle depolarizations from nerve spikes in electromyograms in insects. It could also be used to sort spikes according to their direction of travel in bipolar recordings from mixed nerves.",

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KW - Bipolar recordings

KW - Spike discrimination

KW - Spike slope

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A slope-based approach to spike discrimination in digitized data

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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