Muscle Activity and Work Done Estimation: A sEMG Analysis on Salat - Khanam, Farzana;Rahman, Md. Asadur;Ahmad, Mohiuddin
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Since sEMG is a proven method to observe the muscle activity, it is applied to measure the physical activities from different muscles of the different steps of Salat. From these measurements, it has been shown that muscle activity during Salat can perform better exercise than walking in treadmill based on muscle fatigue index. Furthermore, a modified power spectrum analyzing method is developed. By this proposed method it is proved that mean frequency (MNF) based EMG power spectrum analyzing method is comparatively efficient method than the previously proposed to determine Salat associated…mehr

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Produktbeschreibung
Since sEMG is a proven method to observe the muscle activity, it is applied to measure the physical activities from different muscles of the different steps of Salat. From these measurements, it has been shown that muscle activity during Salat can perform better exercise than walking in treadmill based on muscle fatigue index. Furthermore, a modified power spectrum analyzing method is developed. By this proposed method it is proved that mean frequency (MNF) based EMG power spectrum analyzing method is comparatively efficient method than the previously proposed to determine Salat associated muscle fatigue and indices. For finding the relation between work done and corresponding sEMG voltage some approximate mathematical functions have been developed by appropriate curve fitting to relate the work done and corresponding EMG voltage. These mathematical functions are proposed for upper limb (Bicep Bracii) muscle and lower limb (Biceps Femoris and Medial Gastrocnemius) muscle. It is also found that the sEMG voltage generated from muscle undergoes saturation after increasing to a certain work done.
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Autorenporträt
Farzana Khanam é professora no departamento de BME da Universidade de Ciência e Tecnologia de Jessore (JUST), Bangladesh. Concluiu a licenciatura em Engenharia Eletrónica e o mestrado em Engenharia Mecânica pela Universidade de Engenharia e Tecnologia de Khulna (KUET), Bangladesh. Os seus actuais interesses de investigação incluem Processamento de Sinais e Imagens Biomédicas, Bio-instrumentação, etc.