NDLI: The effect of subcutaneous fat thickness on the efficacy of transcutaneous electrical stimulation

Content Provider	IEEE Xplore Digital Library
Author	Doheny, Emer P. Caulfield, Brian M. Minogue, Conor M. Lowery, Madeleine M.
Copyright Year	2008
Description	Author affiliation: School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin 4, Ireland (Doheny, Emer P.; Lowery, Madeleine M.) \|\| Bio-Medical Research (BMR) Ltd., Galway, Ireland (Minogue, Conor M.) \|\| School of Physiotherapy and Performance Science, University College Dublin, Dublin 4, Ireland (Caulfield, Brian M.)
Abstract	Transcutaneous electrical stimulation is a widely used technique to relieve the symptoms of various neuromuscular disorders and to improve muscle strength. It is currently being investigated in the treatment of obesity to physically enable and encourage increased levels of voluntary exercise. Due to the high resistivity of subcutaneous fat tissue, higher stimulus currents are required to evoke muscle contraction in obese subjects than in subjects of a healthy weight, which can lead to patient discomfort. In this study, a three-dimensional finite element model of the human thigh, including skin, fat, muscle and bone, was developed to examine the relationship between fat thickness and evoked muscle activation. The effects of fat thickness, electrode size and inter-electrode distance on the activating function were investigated during monopolar and bipolar stimulation. The amplitude of the activating function was found to reduce as electrode size increased, however, this effect was relatively less at higher fat thicknesses. The activating function was also less sensitive to inter-electrode distance as fat thickness increased. These results indicate that by increasing electrode size, the current density at the skin surface can be reduced, thereby reducing patient discomfort while maintaining the efficacy of the electrical stimulation in obese patient populations.
Starting Page	5684
Ending Page	5687
File Size	739313
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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