An investigation of activity and mobility waveform descriptors for use in real-time spike separation systems

Author

Franceschini, Robert ; Ning, Taikang ; Bronzino, Joseph

Author_Institution

Dept. of Eng. & Comput. Sci., Trinity Coll., Hartford, CT, USA

fYear

1990

fDate

26-27 Mar 1990

Firstpage

87

Lastpage

88

Abstract

A spike separation system utilizing the waveform descriptors, activity (power) and mobility (slope spread), originally described by B. Hjorth (1970) is presented. Comparisons are made with the reduced feature matching technique of peak-to-peak amplitude and duration in order to illustrate the versatility of the activity and mobility measures. The effects of varying sample sizes used to capture individual spikes from a multiunit record are discussed. The results demonstrate that activity and mobility are useful measures and appropriate for online, real-time separation of spikelike bioelectric events

Keywords

bioelectric phenomena; neurophysiology; Activity waveform descriptors; mobility waveform descriptors; multiunit record; peak-to-peak amplitude; real-time spike separation systems; reduced feature matching technique; spikelike bioelectric events; Bioelectric phenomena; Computer science; Educational institutions; Event detection; Neuroscience; Power engineering and energy; Principal component analysis; Rats; Real time systems; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1990., Proceedings of the 1990 Sixteenth Annual Northeast

Conference_Location

State College, PA

Type

conf

DOI

10.1109/NEBC.1990.66300

Filename

66300