Spolaor Fabiola, Sawacha Zimi, Guarneri Gabriella, Del Din Silvia, Avogaro Angelo, Cobelli Claudio
Department of Information Engineering, University of Padova, Italy.
Department of Information Engineering, University of Padova, Italy.
J Electromyogr Kinesiol. 2016 Dec;31:32-39. doi: 10.1016/j.jelekin.2016.08.007. Epub 2016 Aug 20.
Diabetic peripheral neuropathy (DPN) causes motor control alterations during daily life activities. Tripping during walking or stair climbing is the predominant cause of falls in the elderly subjects with DPN and without (NoDPN). Surface Electromyography (sEMG) has been shown to be a valid tool for detecting alterations of motor functions in subjects with DPN. This study aims at investigating the presence of functional alterations in diabetic subjects during stair climbing and at exploring the relationship between altered muscle activation and temporal parameter. Lower limb muscle activities, temporal parameters and speed were evaluated in 50 subjects (10 controls, 20 with DPN, 20 without DPN), while climbing up and down a stair, using sEMG, three-dimentional motion capture and force plates. Magnitude and timing of sEMG linear envelopes peaks were extracted. Level walking was used as reference condition for the comparison with step negotiation. sEMG, speed and temporal parameters revealed significant differences among all groups of patients. Results showed an association between earlier activation of lower limb muscles and reduced speed in subjects with DPN. Speed and temporal parameters significantly correlated with sEMG (p<0.05). The findings of this study are encouraging and could be used to improve rehabilitation programs aiming at reducing falls risk in diabetic subjects.
糖尿病性周围神经病变(DPN)会在日常生活活动中导致运动控制改变。行走或爬楼梯时绊倒,是患有和未患有DPN的老年受试者跌倒的主要原因。表面肌电图(sEMG)已被证明是检测DPN患者运动功能改变的有效工具。本研究旨在调查糖尿病患者爬楼梯时功能改变的存在情况,并探索肌肉激活改变与时间参数之间的关系。在50名受试者(10名对照组、20名患有DPN、20名未患有DPN)上下楼梯时,使用sEMG、三维运动捕捉和测力板评估下肢肌肉活动、时间参数和速度。提取sEMG线性包络峰值的大小和时间。将平地行走用作与上下楼梯对比的参考条件。sEMG、速度和时间参数在所有患者组之间均显示出显著差异。结果表明,DPN患者下肢肌肉的提前激活与速度降低之间存在关联。速度和时间参数与sEMG显著相关(p<0.05)。本研究结果令人鼓舞,可用于改进旨在降低糖尿病患者跌倒风险的康复计划。