tailieunhanh - báo cáo hóa học: " Behaviour of motor unit action potential rate, estimated from surface EMG, as a measure of muscle activation level"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Behaviour of motor unit action potential rate, estimated from surface EMG, as a measure of muscle activation level | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Behaviour of motor unit action potential rate estimated from surface EMG as a measure of muscle activation level Laura AC Kallenberg 1 and Hermie J Hermens1 2 Open Access Address 1Roessingh Research and Development Enschede The Netherlands and 2Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede The Netherlands Email Laura AC Kallenberg - Hermie J Hermens - Corresponding author Published 17 July 2006 Received 07 February 2006 Journal of NeuroEngineering and Rehabilitation 2006 3 15 doi 1743-0003-3-15 Accepted I7 July 2006 This article is available from http content 3 1 15 2006 Kallenberg and Hermens licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background Surface electromyography EMG parameters such as root-mean-square value RMS are commonly used to assess the muscle activation level that is imposed by the central nervous system CNS . However RMS is influenced not only by motor control aspects but also by peripheral properties of the muscle and recording setup. To assess motor control separately the number of motor unit action potentials MUAPs per second or MUAP Rate MR is a potentially useful measure. MR is the sum of the firing rates of the contributing MUs and as such reflects the two parameters that the CNS uses for motor control number of MUs and firing rate. MR can be estimated from multi-channel surface EMG recordings. The objective of this study was to explore the behaviour of estimated MR eMR in relation to number of active MUs and .