Research on Analysis Methods of Core Muscle Functional Networks During Hand Movements
Du Yihao*, Sun Mengyu, Li Jingjin, Wang Xiaoran, Wang Feng, Lin Shiguo, Wu Xiaoguang
(Key Laboratory of Intelligent Control and Neural Information Processing of Ministry of Education, Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province,Key Laboratory of Test & Measurement Technology and Instrumentation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China)
Abstract：To analyze the connectivity of the muscle functional network in hand movements and its relevance to tasks, revealing muscle synergy and its neuromodulatory mechanisms, hand-movement experimental paradigms (G&L experiment and G experiment) were designed. A-mode ultrasound signals and pressure signals were acquired using an ELONXI ultrasonic signal device and a self-developed hand pressure acquisition system. Twelve healthy subjects were recruited as research participants. Muscle functional network parameters (weighted node degree, weighted clustering coefficient, global efficiency) were calculated, and a non-negative tensor factorization model based on adaptive gradient descent (AGDSNTF) was employed to analyze the connectivity of muscle functional networks during hand movements. Moreover, through hand-pressure analysis and screening, the topological structure and dynamic characteristics of the functional network of key action points during hand movements were obtained. By analyzing the changes in muscle morphology and the differences in pressure distribution at key action points, the relevance between muscle synergy and tasks in hand movements was explored. The experimental results showed that there were significant differences in the connection characteristics of the muscle functional network under different experimental paradigms. Moreover, the muscle connections were closer and the synergistic effect was stronger under the G&L experimental paradigm. The functional network analysis of hand pressure and key action points revealed that the thumb[action points (1,1) and (1,3)] and the middle finger[action points (3,1) and (3,3)] played key roles in hand grasping and lifting movements [with pressure values reaching(7.0±0.8) N and (6.0±0.9) N respectively], while the ring finger [action point (4,2)] provided additional stability during hand grasping movements. Under the G&L experimental paradigm, the muscles needed to undergo greater morphological adjustments (FDS: 18.2 %±2.3 %, FCU: 16.5 %±2.1 %) to meet the anti-gravity requirements and achieved fine control through enhanced multi-muscle synergy. Under the G experimental paradigm, the pressure distribution at the key action points was more uniform, and the synergistic mode was relatively simple.
杜义浩, 孙梦雨, 李菁金, 王孝冉, 汪丰, 林世国, 吴晓光. 手部运动下核心肌肉功能网络分析方法研究[J]. 中国生物医学工程学报, 2026, 45(3): 257-266.
Du Yihao, Sun Mengyu, Li Jingjin, Wang Xiaoran, Wang Feng, Lin Shiguo, Wu Xiaoguang. Research on Analysis Methods of Core Muscle Functional Networks During Hand Movements. Chinese Journal of Biomedical Engineering, 2026, 45(3): 257-266.
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