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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Effects of the physiological parameters on the signal-to-noise ratio of single myoelectric channel | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Effects of the physiological parameters on the signal-to-noise ratio of single myoelectric channel Heather T Ma f1 and YT Zhang2 Open Access Address 1Jockey Club Centre for Osteoporosis Care and Control School of Public Health The Chinese University of Hong Kong Shatin NT Hong Kong China and 2Joint Research Centre for Biomedical Engineering Department of Electronic Engineering The Chinese University of Hong Kong Shatin NT Hong Kong China Email Heather T Ma - mheather05@gmail.com YT Zhang - ytzhang@ee.cuhk.edu.hk Corresponding author fEqual contributors Published 8 August 2007 Received 12 January 2006 Journal of NeuroEngineering and Rehabilitation 2007 4 29 doi l0.ll86 l743-0003-4-29 Accepted 8 August 2007 This article is available from http www.jneuroengrehab.cOm content 4 1 29 2007 Ma and Zhang licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background An important measure of the performance of a myoelectric ME control system for powered artificial limbs is the signal-to-noise ratio SNR at the output of ME channel. However few studies illustrated the neuron-muscular interactive effects on the SNR at ME control channel output. In order to obtain a comprehensive understanding on the relationship between the physiology of individual motor unit and the ME control performance this study investigates the effects of physiological factors on the SNR of single ME channel by an analytical and simulation approach where the SNR is defined as the ratio of the mean squared value estimation at the channel output and the variance of the estimation. Methods Mathematical models are formulated based on three fundamental elements a motoneuron firing mechanism .
