脊髓损伤幸存者表面肌电信号的压缩感知研究。

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-08 DOI:10.1080/10255842.2025.2554254

Zongxian Feng, Beining Cui, Fan He, Zhehan Wu, Tianle Cheng, Haoxiang Zhang

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引用次数: 0

摘要

表面肌电图（sEMG）在步行功能评估中具有很大的潜力。压缩感知（CS）利用信号的稀疏性来减少所需的样本数量。本研究提出了一种基于正则化正交匹配追踪（ROMP）的脊髓损伤（SCI）患者表面肌电信号识别算法。它被用于重建从脊髓损伤受试者收集的多个表面肌电信号。并与正交匹配追踪法（OMP）进行了性能比较。评估了不同测量矩阵对重建精度的影响。结果表明，ROMP与二进制排列块对角（BPBD）矩阵的组合优于传统的OMP算法。

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Compressed sensing study for the sEMG data of SCI survivors.

Surface electromyography (sEMG) holds great potential in walking function evaluation. Compressed sensing (CS) leverages the sparsity of signals to decrease the number of samples required. In this study, a sEMG CS algorithm for spinal cord injury (SCI) patients based on regularized orthogonal matching pursuit (ROMP) was introduced. It was used to reconstruct multiple sEMG signals collected from SCI subjects. Its performance was compared with orthogonal matching pursuit (OMP). The impact of diverse measurement matrices on reconstruction accuracy was also evaluated. Results indicates that the combination of ROMP with a binary permuted block diagonal (BPBD) matrix outperforms the conventional OMP algorithm.

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.