Modelling of Neuromuscular Interactions with Electromyographic Biofeedback
碩士 === 國立嘉義大學 === 生物機電工程學系研究所 === 94 === A neuromuscular model which correlates muscular force generation and surface electromyography (sEMG) is developed in this research. Surface EMG, a reliable diagnostic signal of the neuromuscular system, is a useful biofeedback signal for modelling neuromuscul...
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/99602078650538246504 |
| Summary: | 碩士 === 國立嘉義大學 === 生物機電工程學系研究所 === 94 === A neuromuscular model which correlates muscular force generation and surface electromyography (sEMG) is developed in this research. Surface EMG, a reliable diagnostic signal of the neuromuscular system, is a useful biofeedback signal for modelling neuromuscular interactions. To validate the relationship between sEMG and force generated by the skeletomuscular system, an experiment that acquires sEMG and froce at the same time was established. Modelling was carried out through sEMG signals acquired from 5 volunteers. Contaminating noises were eliminated using suitable signal processing techniques. The relation between sEMG and force was analyzed. These exists a linear correlation between the two biosignals. This provides us a simple way to convert sEMG to force with a proportional factor.
Surface EMG signals were furthered to fit a Hill-based neuromuscular model. The acquired biosignals from the 5 volunteers were used to validate the derived mathematical model. The mean value of the predicted force and the real force were compared and the errors between these two curves were calculated. The Bondgraph representation was applied to describe the Hill-based skeletomuscular model in an engineering aspect. Result of bondgraph representation is simulated and is the same with Hill-type model.
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