用信号处理技术估计肌萎缩侧索硬化症的严重程度

2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE) Pub Date : 2017-08-01 DOI:10.1109/ICSPACE.2017.8343458

D. Aishwarya, H. K. Shreedhar, Anandthirtha B. Gudi

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引用次数: 0

摘要

运动神经元的丧失导致人类肌萎缩侧索硬化症(ALS)。其特点是步态节律改变。在这项工作中，从正常和病理受试者中收集步态数据。将每种情况下收集的数据分成多个块，并找到每个块的平均值。发现信号越过平均值的次数。根据每种情况下获得的结果并与正常情况进行比较，进行严重程度估计。

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Estimation of severity of amyotrophic lateral sclerosis using signal processing techniques

Loss of motor neurons leads to Amyotrophic lateral sclerosis (ALS) in human beings. It is characterized by altered gait rhythm. In this work, gait data is collected from both normal and pathological subjects. Data collected in each case is divided into multiple blocks and average value of each block is found. Number of times signals crossing average value is found. Depending on the result obtained in each case and in comparison with normal, severity estimation is made.

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2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE)

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