首页> 外文会议>Annual Conference of Japanese Society for Medical and Biological Engineering;Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Multivariate assessment of differences between a neuromuscular electrical stimulation therapy and robotic treadmill training in the rehabilitation of spinal cord injured rats
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Multivariate assessment of differences between a neuromuscular electrical stimulation therapy and robotic treadmill training in the rehabilitation of spinal cord injured rats

机译:脊髓损伤大鼠神经肌肉电刺激疗法和机器人跑步机训练之间差异的多变量评估

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A study was conducted to evaluate and compare the effects of two different rehabilitation therapies on spinal cord injured (SCI) rats: neuromuscular electrical stimulation which is timed to robotic treadmill training (NMES+RTT) and RTT alone. Several electromyography (EMG) based variables were measured, but most did not change significantly after treatment, contrary to observations of overall qualitative stepping ability. However, when the variables are viewed in multi-dimensional space, there are visible differences between changes after NMES+RTT vs. those after RTT only. Principal component analysis (PCA) and k-means clustering were applied to the multivariate data. The data in principal component space was significantly separated, according to the Euclidean distance. PCA also provided a straightforward tool for selecting which combination of measures to compare. The measures which best separated out the differences between NMES+RTT and RTT were percentage of steps associated with bursts, burst-to-step latency, and the standard deviation of this latency, even though these measures did not always show the greatest statistical significance individually. Thus, the rehabilitative effects of NMES+RTT are not necessarily reflected in individual EMG measures, but rather in a combination of the measures representing a multi-dimensional space.
机译:进行了一项研究,以评估和比较两种不同的康复疗法对脊髓损伤(SCI)大鼠的影响:神经肌肉电刺激,该刺激定时于机器人跑步机训练(NMES + RTT)和RTT单独进行。测量了几个基于肌电图(EMG)的变量,但大多数变量在治疗后没有明显改变,这与总体定性步进能力的观察结果相反。但是,在多维空间中查看变量时,NMES + RTT之后的变化与仅RTT之后的变化之间存在明显的差异。主成分分析(PCA)和k均值聚类应用于多元数据。根据欧几里得距离,主成分空间中的数据明显分离。 PCA还提供了一种直接的工具,用于选择要比较的度量组合。最好地分离出NMES + RTT和RTT之间差异的度量是与突发关联的步数百分比,突发到步的延迟以及此延迟的标准偏差,即使这些度量并不总是单独显示最大的统计意义。因此,NMES + RTT的康复效果不一定反映在单个EMG指标中,而是反映在代表多维空间的指标的组合中。

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