Synergistic Upper-Limb Functional Muscle Connectivity Using Acoustic Mechanomyography
Synergistic Upper-Limb Functional Muscle Connectivity Using Acoustic Mechanomyography
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DOI：
10.1109/tbme.2022.3150422
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发表时间：
2022-08-01
影响因子：
4.6
通讯作者：
Atashzar, S. Farokh
中科院分区：
文献类型：
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作者：
Castillo, C. Sebastian Mancero;Vaidyanathan, Ravi;Atashzar, S. Farokh
功能性肌肉网络是描述执行复杂运动任务所需的功能性协同肌肉同步和功能连接性的关键概念。肌肉网络通常是由多通道肌电图（EMG）测量的不同频带处的肌间相干性（IMC）分解得到的，这潜在地限制了临床应用。在这项调查中，我们引入肌肉网络分析，以评估肌肉的功能协调和功能连接的基础上，肌电（MMG）。我们专注于上肢中对日常生活活动（ADL）至关重要的目标肌肉群。功能性肌肉网络进行评估，为十个健全的参与者和三个上肢截肢者。肌肉活动是从一个定制的MMG传感器的可穿戴臂章上获得的，该臂章放置在前臂周围的四块浅表肌肉（桡侧腕屈肌（FCR）、肱桡肌（BR）、指总伸肌（EDC）和尺侧腕屈肌（FCU））上，同时参与者进行四种不同的手势。多个频带处的肌肉连接性分析示出了针对低（即，12 Hz）激活频率以及截肢者和非截肢者受试者之间可观察到的网络差异。结果表明MMG可以用于复杂运动任务中上肢肌肉的功能连接分析和协同功能同步映射。新的生理模式提供了关键的见解运动协调的神经回路。研究结果进一步提供了从神经生理学角度证明MMG映射肌肉连贯性的可行性的伴随结果，并为其在人机界面中的翻译提供了机械基础。
Functional muscle network is a critical concept in describing functional synergistic muscle synchronization and functional connectivity needed for the execution of complex motor tasks. Muscle network is typically derived from decomposition of intermuscular coherence (IMC) at different frequency bands of multichannel electromyography (EMG) measurements, which potentially limits out-of-clinic applications. In this investigation, we introduce muscle network analysis to assess the functional coordination and functional connectivity of muscles based on mechanomyography (MMG). We focus on a targeted group of muscles vital for activities of daily living (ADLs) in the upper-limb. Functional muscle networks are evaluated for ten able-bodied participants and three upper-limb amputees. Muscle activity was acquired from a custom-made wearable armband of MMG sensors placed over four superficial muscles around the forearm (flexor carpi radialis (FCR), brachioradialis (BR), extensor digitorum communis (EDC), and flexor carpi ulnaris (FCU)) while participants performed four different hand gestures. Muscle connectivity analysis at multiple frequency bands shows significant topographical differences across gestures for low (i.e., 12 Hz) activation frequencies as well as observable network differences between amputee and non-amputee subjects. Results demonstrate MMG can be used for the analysis of functional muscle connectivity and mapping of synergistic functional synchronization of upper-limb muscles in complex movement tasks. The new physiological modality provides key insights into neural circuitry of motor coordination. Findings further offer the concomitant outcomes of demonstrating feasibility of MMG to map muscle coherence from a neurophysiological perspective and providing a mechanistic basis for its translation in human-robot interface.