Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China.
Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China.
Sensors (Basel). 2024 May 19;24(10):3225. doi: 10.3390/s24103225.
Modular control of the muscle, which is called muscle synergy, simplifies control of the movement by the central nervous system. The purpose of this study was to explore the synergy in both the frequency and movement domains based on the non-negative Tucker decomposition (NTD) method. Surface electromyography (sEMG) data of 8 upper limb muscles in 10 healthy subjects under wrist flexion (WF) and wrist extension (WE) were recorded. NTD was selected for exploring the multi-domain muscle synergy from the sEMG data. The results showed two synergistic flexor pairs, Palmaris longus-Flexor Digitorum Superficialis (PL-FDS) and Extensor Carpi Radialis-Flexor Carpi Radialis (ECR-FCR), in the WF stage. Their spectral components are mainly in the respective bands 0-20 Hz and 25-50 Hz. And the spectral components of two extensor pairs, Extensor Digitorum-Extensor Carpi Ulnar (ED-ECU) and Extensor Carpi Radialis-Brachioradialis (ECR-B), are mainly in the respective bands 0-20 Hz and 7-45 Hz in the WE stage. Additionally, further analysis showed that the Biceps Brachii (BB) muscle was a shared muscle synergy module of the WE and WF stage, while the flexor muscles FCR, PL and FDS were the specific synergy modules of the WF stage, and the extensor muscles ED, ECU, ECR and B were the specific synergy modules of the WE stage. This study showed that NTD is a meaningful method to explore the multi-domain synergistic characteristics of multi-channel sEMG signals. The results can help us to better understand the frequency features of muscle synergy and shared and specific synergies, and expand the study perspective related to motor control in the nervous system.
肌肉的模块化控制,即肌肉协同作用,简化了中枢神经系统对运动的控制。本研究旨在基于非负 Tucker 分解(NTD)方法从频率和运动两个域探索协同作用。记录了 10 名健康受试者在腕屈(WF)和腕伸(WE)下 8 个上肢肌肉的表面肌电图(sEMG)数据。选择 NTD 从 sEMG 数据中探索多域肌肉协同作用。结果表明,在 WF 阶段有两个协同的屈肌对,即掌长肌-指浅屈肌(PL-FDS)和桡侧腕屈肌-桡侧腕屈肌(ECR-FCR)。它们的频谱分量主要在各自的 0-20 Hz 和 25-50 Hz 频段。在 WE 阶段,两个伸肌对,即指伸肌-尺侧腕伸肌(ED-ECU)和桡侧腕伸肌-桡侧腕长伸肌(ECR-B)的频谱分量主要在各自的 0-20 Hz 和 7-45 Hz 频段。此外,进一步的分析表明,肱二头肌(BB)是 WE 和 WF 阶段的共享肌肉协同模块,而屈肌 FCR、PL 和 FDS 是 WF 阶段的特定协同模块,伸肌 ED、ECU、ECR 和 B 是 WE 阶段的特定协同模块。本研究表明,NTD 是探索多通道 sEMG 信号多域协同特征的一种有意义的方法。研究结果可以帮助我们更好地理解肌肉协同的频率特征以及共享和特定协同作用,并扩展与神经系统运动控制相关的研究视角。