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Virginia Tech

Development of a Modular Electromyography System

Abstract

dc:description.abstract

The design of current electromyography (EMG) systems focuses on specific applications. One design focuses on the use of bipolar electrodes to monitor a single muscle group. Several of these electrodes can then be used to monitor different muscles on the body simultaneously. Another design places many electrodes in an array on a limb or over a single muscle. One cannot be used for the other. Additionally the design of an EMG system must account for several sources of noise that can be orders of magnitude larger than the EMG signal itself. The goal of this work was to design an active EMG electrode that could be used as bipolar electrodes or in an electrode array. Two electrodes were designed and tested. One design only worked in bipolar and the other did not possess the desired noise immunity. Explanations to the behavior of the electrodes are presented along with possible modifications the the electrodes to achieve the desired performance.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Electrical Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Peterson, Andrew Jay II
Chairs dc:contributor.committeechair
  • Stilwell, Daniel J.
  • Asbeck, Alan T.
Committee member dc:contributor.committeemember
  • Baumann, William T.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:12600
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/78693

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Peterson, Andrew Jay II. Development of a Modular Electromyography System. masters thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78693