Krueger Eddy, Scheeren Eduardo M, Nogueira-Neto Guilherme N, da S N Button Vera Lúcia, Nohama Percy
CPGEI, Federal Technological University of Paraná, Curitiba, PR, Av Sete deSetembro 3165, CEP 80230-901, Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7242-5. doi: 10.1109/IEMBS.2011.6091830.
Mechanomyography (MMG) measures both muscular contraction and stretching activities and can be used as feedback in the control of neuroprostheses with Functional Electrical Stimulation (FES). In this study we evaluated the correlation between MMG features and passive knee angular movement of rectus femoris and vastus lateralis muscles acquired from healthy volunteers (HV) and spinal cord injured volunteers (SCIV). Twelve HV and thirteen SCIV were submitted to passive and FES elicited knee extensions and in each extension, eleven windows of analysis with 0.5s length were inspected. Temporal (RMS and INT) and frequency (MF and μ3) features were extracted. Spearman correlation coefficients (p) were computed in order to check correlations between the features obtained from both MMG sensors. The correlation between MMG(MF) and MMG temporal analysis (RMS and INT) to HV was classified as positive, moderate (p from 0.635 to 0.681) and high (p from 0.859 to 0.870), and weak (positive e negative) to SCIV. These results differ from those obtained in voluntary contraction or artificially evoked by functional electrical stimulation and may be relevant in applications with closed loop control systems.
肌动图(MMG)可测量肌肉收缩和伸展活动,并可用作功能性电刺激(FES)神经假体控制中的反馈。在本研究中,我们评估了从健康志愿者(HV)和脊髓损伤志愿者(SCIV)获取的股直肌和股外侧肌的MMG特征与被动膝关节角度运动之间的相关性。12名HV和13名SCIV接受了被动和FES诱发的膝关节伸展,在每次伸展中,检查了11个长度为0.5秒的分析窗口。提取了时间(均方根和积分)和频率(平均频率和μ3)特征。计算斯皮尔曼相关系数(p),以检查从两个MMG传感器获得的特征之间的相关性。MMG(平均频率)与MMG时间分析(均方根和积分)对HV的相关性被分类为正、中度(p为0.635至0.681)和高度(p为0.859至0.870),而对SCIV则为弱(正和负)。这些结果与在自愿收缩或功能性电刺激人工诱发中获得的结果不同,可能与闭环控制系统的应用相关。