Skip to main navigation Skip to search Skip to main content

An EMG biofeedback device for video game use in forearm physiotherapy

  • Hayes Converse
  • , Teressa Ferraro
  • , Daniel Jean
  • , Laura Jones
  • , Vikas Mendhiratta
  • , Emily Naviasky
  • , Mang Par
  • , Thomas Rimlinger
  • , Steven Southall
  • , Jason Sprenkle
  • , Pamela Abshire
  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits the data to a laptop computer, and runs software to discriminate between arm motions. The next step is to interface with a custom video game which responds to user movement and provides real-time biofeedback to the user, allowing them to visualize whether they are performing their PT exercise properly. Our device incorporates existing technologies into a functional ensemble compatible with both at-home and clinical use. Current testing (n=7 subjects) indicates that the sensor is capable of discriminating between 6 classes of PT exercises with 92% accuracy (2 classes with 96% accuracy).

Original languageEnglish
Title of host publicationIEEE SENSORS 2013 - Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781467346405
DOIs
StatePublished - 2013
Event12th IEEE SENSORS 2013 Conference - Baltimore, MD, United States
Duration: Nov 4 2013Nov 6 2013

Publication series

NameProceedings of IEEE Sensors

Conference

Conference12th IEEE SENSORS 2013 Conference
Country/TerritoryUnited States
CityBaltimore, MD
Period11/4/1311/6/13

Fingerprint

Dive into the research topics of 'An EMG biofeedback device for video game use in forearm physiotherapy'. Together they form a unique fingerprint.

Cite this