9786139874224 - Muscle Activity and Work Done Estimation: A sEMG Analysis on Salat di Khanam, Farzana; Rahman, Md. Asadur; Ahmad, Dr. Mohiuddin (6 risultati)

Paperback. Condizione: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condizione: Neu. Muscle Activity and Work Done Estimation: A sEMG Analysis on Salat | Farzana Khanam (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139874224 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khanam FarzanaFarzana Khanam is a lecturer in BME department at Jessore University of Science and Technology (JUST), Bangladesh. She has completed B.Sc. Engg. in EEE and M.Sc. Engg. in BME from Khulna University of Engineering and Te.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.