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Brock University

Relationship between Surface and Indwelling EMG Spike Shape Measures

Abstract

dc:description.abstract

Indwelling electromyography (EMG) has great diagnostic value but its invasive and often painful characteristics make it inappropriate for monitoring human movement. Spike shape analysis of the surface electromyographic signal responds to the call for non-invasive EMG measures for monitoring human movement and detecting neuromuscular disorders. The present study analyzed the relationship between surface and indwelling EMG interference patterns. Twenty four males and twenty four females performed three isometric dorsiflexion contractions at five force levels from 20% to maximal force. The amplitude measures increased differently between electrode types, attributed to the electrode sensitivity. The frequency measures were different between traditional and spike shape measures due to different noise rejection criteria. These measures were also different between surface and indwelling EMG due to the low-pass tissue filtering effect. The spike shape measures, thought to collectively function as a means to differentiate between motor unit characteristics, changed independent of one another.

Degree

thesis:*
Name thesis:degree_name
M.Sc. Applied Health Sciences
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Faculty of Applied Health Sciences
Department dc:contributor.department
Applied Health Sciences Program
Grantor
Brock University
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Parro, Justin

Subjects

dc:subject × 5

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10464/5661
OAI identifier oai:identifier
oai:brocku.scholaris.ca:10464/5661

Chain of custody

source
Harvested from
Brock University
Base URL
brocku.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Parro, Justin. Relationship between Surface and Indwelling EMG Spike Shape Measures. Masters thesis, Brock University, 2014. http://hdl.handle.net/10464/5661