DocumentCode :
3010973
Title :
Design of Two-Dimensional Grid Electrodes Considering Spatial Characteristics of SEMG Signal
Author :
Rahman, Mohammad M. ; Ferdjallah, Mohammed ; Harris, Gerald F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
fYear :
2005
fDate :
16-19 March 2005
Firstpage :
297
Lastpage :
300
Abstract :
Surface grid electrode is a noninvasive technique, which can be utilized for topographic analysis of EMG signals. Grid electrode increases the uptake area and provides a better picture of spatial and temporal characteristics of muscle activity. Determination of clinical parameters such as muscle conduction velocity, location of innervation zone, firing pattern, size and location of motor unit, are some of the challenging applications of multi-electrode array. However, an optimum grid electrode requires detail examination regarding the dimension and inter-electrode distance of the array. In this paper a systematic approach is presented for selecting a grid spacing to reduce spatial aliasing. The characteristics of isotropic layers of subcutaneous fat and skin tissues are incorporated in a computer muscle model in order to analyze their effects on complete potential profile and grid spacing. The variation of spatial cutoff frequency and corresponding inter electrode distance with depth of muscle fiber inside the muscle are simulated in both time and frequency domain for three different levels of accuracy
Keywords :
arrays; biomedical electrodes; electromyography; physiological models; skin; spatiotemporal phenomena; time-frequency analysis; SEMG signal; computer muscle model; firing pattern; grid spacing; innervation zone; motor unit location; motor unit size; multi-electrode array; muscle conduction velocity; optimum grid electrode; potential profile; skin tissues; spatial cutoff frequency; spatial muscle activity; subcutaneous fat; surface electromyography; temporal muscle activity; time-frequency domain; topographic analysis; two-dimensional grid electrodes; Cutoff frequency; Electrodes; Electromyography; Grid computing; Muscles; Noninvasive treatment; Signal analysis; Signal design; Skin; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
Type :
conf
DOI :
10.1109/CNE.2005.1419616
Filename :
1419616
Link To Document :
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