利用标准间分析估算人体上臂肌肉的表面肌电图活动

S. Angelova, Maria Angelova, R. Raikova
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摘要

肌电图(EMG)是一种广泛应用的估算肌肉活动的方法,有助于了解肌肉如何相互作用并影响人体运动控制。为了检测肘关节屈伸过程中的肌肉相互作用,最近开发的基于索引矩阵和直觉模糊集数学形式的标准间分析法(ICrA)得到了应用。ICrA 已在生物医学和生活质量等不同领域得到广泛应用,但这是该方法首次用于建立肌肉相互作用。我们选取了六块人体上臂的大块表面肌肉或部分肌肉,这些肌肉负责肩关节和肘关节的屈伸。我们记录了四块单关节肌肉(三角肌锁骨旁和棘旁[分别为 DELcla 和 DELspi]、肱肌[BRA]和肱二头肌[ANC])和两块双关节肌肉(肱二头肌[BIC]和肱三头肌-肩胛长肌[TRI])的表面肌电信号。本研究采用了 10 名健康受试者在矢状面上以四种速度进行屈伸运动的结果,包括有额外负荷和无额外负荷。当应用 ICrA 对两种不同的运动进行检查时,BIC-BRA 肌肉相互作用在屈伸运动中被区分开来。另一方面,在对十名受试者进行观察时,发现了四对相互作用的肌肉,即 DELcla-DELspi、BIC-TRI、BIC-BRA 和 TRI-BRA。应用 ICrA 后获得的结果证实了上述预期,即当屈伸速度发生变化或增加负载时,所研究的肌肉对人体上臂运动的贡献是不同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis
Electromyography (EMG) is a widely used method for estimating muscle activity and could help in understanding how muscles interact with each other and affect human movement control. To detect muscle interactions during elbow flexion and extension, a recently developed InterCriteria Analysis (ICrA) based on the mathematical formalisms of index matrices and intuitionistic fuzzy sets is applied. ICrA has had numerous implementations in different fields, including biomedicine and quality of life; however, this is the first time the approach has been used for establishing muscle interactions. Six human upper arm large surface muscles or parts of muscles responsible for flexion and extension in shoulder and elbow joints were selected. Surface EMG signals were recorded from four one-joint (pars clavicularis and pars spinata of m. deltoideus [DELcla and DELspi, respectively], m. brachialis [BRA], and m. anconeus [ANC]) and two two-joint (m. biceps brachii [BIC] and m. triceps brachii-caput longum [TRI]) muscles. The outcomes from ten healthy subjects performing flexion and extension movements in the sagittal plane at four speeds with and without additional load are implemented in this study. When ICrA was applied to examine the two different movements, the BIC–BRA muscle interaction was distinguished during flexion. On the other hand, when the ten subjects were observed, four interacting muscle pairs, namely DELcla-DELspi, BIC-TRI, BIC-BRA, and TRI-BRA, were detected. The results obtained after the ICrA application confirmed the expectations that the investigated muscles contribute differently to the human upper arm movements when the flexion and extension velocities are changed, or a load is added.
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