Relationships Between Motor Unit Anatomical Characteristicsand Motor Unit Potential Statistics in Healthy Muscles

Systems Design;Motor Units;Motor Unit Potentials;EMG signal

Emrani, Mahdieh Sadat

University of Waterloo

关键词: Systems Design;    Motor Units;    Motor Unit Potentials;    EMG signal;   

Others  :  https://uwspace.uwaterloo.ca/bitstream/10012/897/1/msemrani2005.pdf

瑞士|英语

来源: UWSPACE Waterloo Institutional Repository

【 摘 要 】

The main goal of this thesis was to discover the relationshipsbetween MU characteristics and MUP features. To reach this goal,several features explaining the anatomical structure of the musclewere introduced. Additionally, features representing specificproperties of the EMG signal detected from that muscle, weredefined. Since information regarding the underlying anatomy wasnot available from real data, a physiologically based muscle modelwas used to extract the required features. This muscle modelstands out from others, by providing similar acquisition schemesas the ones utilized by physicians in real clinical settings andby modelling the interactions among different volume conductorfactors and the collection of MUs in the muscle in a realisticway. Having the features ready, several relationship discoverytechniques were used, to reveal relationships between MU featuresand MUP features. To interpret the results obtained from thecorrelation analysis and pattern discovery techniques properly,several algorithms and new statistics were defined. The resultsobtained from correlation analysis and pattern discovery techniquewere similar to each other, and suggested that to maximize theinter-relationships between MUP features and MU features, MUPscould be filtered based on their slope values, specifically MUPswith slopes lower than 0.6 v/s could be excluded. Additionally PDTresults showed that high slope MUPs were not as informative aboutthe underlying MU and could be excluded to maximize therelationships between MUP features and MU characteristics. CertainMUP features were determined to be highly related to certain MUcharacteristics. MUP area and duration were shown tobe the best representative feature for the MU size andaverage fiber density, respectively. For the distributionof fiber diameter in the MU, duration and number of turns weredetermined to reflect mean fiber diameter and stdv offiber diameter the best, correspondingly.