肌肉协同理论能够用于分析神经肌肉系统的内在功能模式,基于此提出了一种基于肌肉协同分析的功能性电刺激(FES)康复效果量化研究方法。首先,在二维肌肉协同分析的基础上,通过连续小波分解建立了肌电张量,利用CP_ALS算法进行了肌电张量的非负矩阵分解,实现了覆盖空域、频域和时域的三维肌肉协同分析。然后,设计了患者腕伸动作康复实验,以健康被试为对照组,分别对比分析了不同偏瘫程度的患者在进行持续10天的FES理疗前后的腕伸肌肉协同变化。实验结果显示经过FES理疗后,患者的肌肉协同数量有所增加(从2增加到3),空域肌肉协同均达到正相关水平(均值为0.5402),频域肌肉协同增幅最大(增幅均值为0.8271),时域肌肉协同效果最好(均值为0.7979),说明FES在卒中康复中能够有效提升患者的肌肉协同效果。
Abstract
The muscle synergy theory can be used to analyze the intrinsic functional mode of the neuromuscular system, based on which a quantitative research method for FES rehabilitation effect based on muscle synergy analysis is proposed. First, on the basis of two-dimensional muscle synergy analysis, the myoelectric tensor was established by continuous wavelet decomposition, and the non-negative matrix decomposition of the myoelectric tensor was carried out by using the CP_ALS algorithm, so as to realize the three-dimensional muscle synergy analysis covering the null domain, frequency domain and time domain. Then, a patient wrist extension rehabilitation experiment was designed to compare and analyze the changes of wrist extension muscle synergism before and after FES physiotherapy lasting 10 days in patients with different degrees of hemiplegia, using healthy subjects as the control group. The experimental results showed that after FES physical therapy, the number of muscle synergies of patients increased (from 2 to 3), the muscle synergies in the null domain all reached the positive correlation level (mean value of 0.5402), the muscle synergies in the frequency domain had the largest increase (mean value of increase was 0.8271), and the muscle synergies in the temporal domain had the best effect (mean value of 0.7979), which indicated that FES in stroke rehabilitation was able to improve the patients muscle synergy effect.
关键词
功能性电刺激 /
肌肉协同 /
小波分解 /
肌电张量 /
CP_ALS /
非负矩阵分解 /
康复效果
Key words
FES /
muscle synergy /
wavelet decomposition /
electromyography tensor /
CP_ALS /
non-negative matrix factorization /
rehabilitation effect
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基金
国家自然科学基金(62376241);中央引导地方科技发展资金(自由探索类基础研究)［236Z1804G］;河北省创新能力提升计划(22567619H)
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