肌电图
物理医学与康复
康复
步态
运动学
步态分析
计算机科学
医学
物理疗法
经典力学
物理
作者
Georgios Papagiannis,Αthanasios Triantafyllou,Ilias M. Roumpelakis,Frantzeska Zampeli,Pinioti Garyfallia Eleni,Panayiotis Koulouvaris,Elias C. Papadopoulos,Panayiotis J. Papagelopoulos,George C. Babis
标识
DOI:10.1080/03091902.2019.1609610
摘要
Gait analysis is a significant diagnostic procedure for the clinicians who manage musculoskeletal disorders. Surface electromyography (sEMG) combined with kinematic and kinetic data is a useful tool for decision making of the appropriate method needed to treat such patients. sEMG has been used for decades to evaluate neuromuscular responses during a range of activities and develop rehabilitation protocols. The sEMG methodology followed by researchers assessed the issues of noise control, wave frequency, cross talk, low signal reception, muscle co-contraction, electrode placement protocol and procedure as well as EMG signal timing, intensity and normalisation so as to collect accurate, adequate and meaningful data. Further research should be done to provide more information related to the muscle activity recorded by sEMG and the force produced by the corresponding muscle during gait analysis.
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