由肌电控制界面调制的卒中后肌间耦合的小波相干分析

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-08 DOI:10.3390/bioengineering11080802
Xinyi He, Wenbo Sun, Rong Song, Weiling Xu
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引用次数: 0

摘要

肌间耦合反映了与肌肉控制相关的皮质脊髓相互作用。然而,中风导致的肌间耦合恶化尚未引起人们的重视。本研究旨在探讨肌电控制界面(MCI)的维度对中风后肌间耦合的影响。共招募了 10 名年龄匹配的对照组和 8 名中风患者,在一维或二维 MCI 中执行肘部追踪任务。运动表现用均方根误差(RMSE)进行量化。小波相干性用于分析α波段(8-12赫兹)和β波段(15-35赫兹)的肌间耦合。结果发现,与一维 MCI 相比,二维 MCI 两组中拮抗肌的 RMSE 均较小。与对照组相比,患者在伸肘时的α波段小波相干性明显降低。此外,随着 MCI 维度的增加,在对照组和脑卒中患者中观察到α-带和β-带小波相干性降低。这些结果可能表明,与中风相关的神经损伤会恶化运动表现和肌肉间协调模式,而且,通过直接调节肌肉激活模式,MCI有望成为一种新型有效的康复工具。
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Wavelet Coherence Analysis of Post-Stroke Intermuscular Coupling Modulated by Myoelectric-Controlled Interfaces
Intermuscular coupling reflects the corticospinal interaction associated with the control of muscles. Nevertheless, the deterioration of intermuscular coupling caused by stroke has not received much attention. The purpose of this study was to investigate the effect of myoelectric-controlled interface (MCI) dimensionality on the intermuscular coupling after stroke. In total, ten age-matched controls and eight stroke patients were recruited and executed elbow tracking tasks within 1D or 2D MCI. Movement performance was quantified using the root mean square error (RMSE). Wavelet coherence was used to analyze the intermuscular coupling in alpha band (8–12 Hz) and beta band (15–35 Hz). The results found that smaller RMSE of antagonist muscles was observed in both groups within 2D MCI compared to 1D MCI. The alpha-band wavelet coherence was significantly lower in the patients compared to the controls during elbow extension. Furthermore, a decreased alpha-band and beta-band wavelet coherence was observed in the controls and stroke patients, as the dimensionality of MCI increased. These results may suggest that stroke-related neural impairments deteriorate the motor performance and intermuscular coordination pattern, and, further, that MCI holds promise as a novel effective tool for rehabilitation through the direct modulation of muscle activation pattern.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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