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EMG and acceleration signal analysis for quantifying the effects of medication in Parkinson's disease

机译:EMG和加速信号分析可量化药物对帕金森氏病的作用

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Parkinson's disease (PD) is characterized by motor disabilities that can be alleviated reasonably with appropriate medication. However, there is a lack of objective methods for quantifying the efficacy of treatment in PD. We applied here an objective method for quantifying the effects of medication in PD using EMG and acceleration measurements and analysis. In the method, four signal features were calculated from the EMG and acceleration recordings of both sides of the body: the kurtosis and recurrence rate of EMG, and the amplitude and sample entropy of acceleration. Principal component approach was used for reducing the number of variables. EMG and acceleration data measured from nine PD patients were used for analysis. The patients were measured in four different medication conditions: with medication off, and two and three and four hours after taking the medication. The results showed that in eight patients the EMG recordings changed into less spiky and the acceleration recordings into more complex after taking the medication. A reverse phenomenon in the signal characteristics was observed in seven patients 3–4 hours after taking the medication. The results indicate that the presented method is potentially useful for quantifying objectively the effects of medication on the neuromuscular function in PD.
机译:帕金森氏病(PD)的特征是运动障碍,可以通过适当的药物合理缓解。然而,缺乏客观的方法来量化PD治疗的疗效。我们在这里应用了一种客观的方法,使用EMG以及加速度测量和分析来量化药物在PD中的作用。在该方法中,从肌电图和身体两侧的加速度记录计算出四个信号特征:肌电图的峰度和复发率,以及加速度的幅度和样本熵。主成分方法用于减少变量的数量。使用从9名PD患者中测得的EMG和加速度数据进行分析。在四种不同的用药条件下对患者进行了测量:停药,服药后两个小时,三个小时和四个小时。结果显示,在服用药物后,八名患者的EMG记录变得不那么尖锐,加速记录变得更复杂。服药3-4小时后,七名患者的信号特征出现了相反的现象。结果表明,所提出的方法对于客观地量化药物对PD中神经肌肉功能的影响可能是有用的。

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