Analysis of spinal EMG signal when swinging an object

Too, Jing Wei (2017) Analysis of spinal EMG signal when swinging an object. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Electromyography (EMG) is a bio signal record the electricity generated by muscles during muscle contraction. Due to lack of research that emphasis on the recognition of EMG signal at spinal muscle, robotic or rehabilitation studies faces difficulties in designing the best response to overcome spinal injuries. Moreover, the surface EMG is affected by the noise environment, inconsistent due to bodily fatigue and inaccuracy of surface EMG pattern recognition. For data gathering, the MVC normalization method is applied to determine the spinal EMG signal on lumbar multifidus muscle when swinging an object. The MVC test shows that a higher percentage of MVC resulted in higher normalized amplitude. In order to analyse the identical and recognition of spinal EMG signal, three statistical analyses are done. One-way ANOVA analysis shows that the means value among all 15 subjects are different in the % MVC test. In addition, RMS analysis indicates that the muscle activity is increased when the muscle contraction is increased. In boxplot analysis, it shows that the increment of percentage MVC resulted in greater median, normalized amplitude and the interquartile range. Besides, this paper presents a further investigation on determining the average median and interquartile range difference from 0% until 100% MVC by applied 8

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