High-Density Surface EMG Decomposition: Achievements, Challenges, and Concerns

IF 5.2 2区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Transactions on Neural Systems and Rehabilitation Engineering Pub Date : 2025-03-14 DOI:10.1109/TNSRE.2025.3551630
Maoqi Chen;Ping Zhou
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Abstract

High-density surface electromyography (EMG) decomposition provides a valuable non-invasive approach to accessing key motor unit information for a range of applications. This communication summarizes significant advances in high-density surface EMG decomposition, and discusses several considerable challenges and persistent concerns in this field, particularly regarding dynamic and real-time high-density surface EMG decomposition, as well as evaluating the reliability of the decomposed motor units. As varying high-density surface EMG decomposition programs are increasingly developed, we call for open access or sharing of source code and testing data developed by different groups. We believe such efforts can greatly facilitate collaboration, clarify concerns, address challenges, and thus motivate further development and application of high-density surface EMG decomposition.
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高密度表面肌电信号分解:成就、挑战和关注。
高密度表面肌电图(EMG)分解为一系列应用提供了一种有价值的非侵入性方法来获取关键的运动单元信息。本文总结了高密度表面肌电信号分解的重大进展,并讨论了该领域的几个重大挑战和持续关注的问题,特别是关于动态和实时高密度表面肌电信号分解,以及评估分解电机单元的可靠性。随着各种高密度表面肌电信号分解程序的开发,我们呼吁开放访问或共享源代码和不同小组开发的测试数据。我们相信这样的努力可以极大地促进合作,澄清关切,解决挑战,从而推动高密度表面肌电分解的进一步发展和应用。
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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