DocumentCode :
2487855
Title :
Wearable EMG analysis for Rehabilitation (WEAR) - Surface electromyography in clinical gait analysis
Author :
Freed, Adam ; Chan, Adrian D C ; Lemaire, Edward D. ; Parush, Avi
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear :
2011
fDate :
30-31 May 2011
Firstpage :
601
Lastpage :
604
Abstract :
This paper presents a new wearable electromyography (EMG) monitoring approach for gait analysis known as the Wearable EMG Analysis for Rehabilitation (WEAR) system. Conventional EMG acquisition uses single electrode pairs positioned above the muscle of interest, based on anatomical measurements. WEAR employs a dry electrode array, integrated in a wearable sleeve, which is quicker and easier to apply than the electrodes in a conventional system. An optimal electrode pair is automatically selected from the array, thus saving time and inherent cost. The WEAR system will be tested on 10 able-bodied subjects for intra-system repeatability, as well as direct comparison to outcomes from conventional surface EMG tests on the same set of participants.
Keywords :
biomedical electrodes; electromyography; gait analysis; patient rehabilitation; EMG; WEAR; clinical gait analysis; electrode array; surface electromyography; wearable EMG analysis for rehabilitation; Arrays; Biomedical monitoring; Electrodes; Electromyography; Muscles; Skin; USA Councils; Electrodes; electromyography; gait analysis; myoelectric signals; wearable mobility monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-9336-4
Type :
conf
DOI :
10.1109/MeMeA.2011.5966728
Filename :
5966728
Link To Document :
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