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.

Additional Metadata
Keywords Electrodes, electromyography, gait analysis, myoelectric signals, wearable mobility monitoring
Persistent URL dx.doi.org/10.1109/MeMeA.2011.5966728
Conference 2011 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2011
Citation
Freed, A. (Adam), Chan, A, Lemaire, E.D. (Edward D.), & Parush, A. (2011). Wearable EMG analysis for Rehabilitation (WEAR) - Surface electromyography in clinical gait analysis. In MeMeA 2011 - 2011 IEEE International Symposium on Medical Measurements and Applications, Proceedings. doi:10.1109/MeMeA.2011.5966728