应用小波变换识别运动单元招募模式

Ninlawan Paobthong, Rumpa Boonsinsukh, V. Saengsirisuwan, S. Sirisup
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引用次数: 0

摘要

运动单元收缩模式代表肌肉收缩的时频特征。连续小波变换(CWT)是一种时频信号分析方法,但其识别运动单元招募模式的能力尚不清楚。本研究的目的是验证CWT识别运动单位招募模式的差异,在时间和空间领域,在年轻人和老年人健康受试者最大的自愿膝关节伸展。10名老年人和10名年轻人参与了这项研究。他们被要求以100%最大自愿收缩进行等长膝关节伸展,持续10秒。CWT分析以尺度图的形式呈现。结果表明,年轻受试者的红色光谱比老年人少,说明主要招募在老年人中发生的频率更高。在考虑神经元放电频率时,老年受试者的放电频率操作范围低于青年组。本研究的结果证实,CWT可用于识别运动单位招募模式的年龄相关变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Wavelet Transform to identify motor unit recruitment pattern
Motor unit recruitment pattern represents the time-frequency characteristics of muscle contraction. The Continuous Wavelet Transform (CWT) is a time-frequency signal analysis but its ability to identify motor unit recruitment pattern is still unclear. The purpose of this study was to validate the CWT in identifying the differences in motor unit recruitment pattern, regarding time-space domains, between young and elderly healthy subjects during maximum voluntary knee extension. Ten elderly and 10 young subjects participated in this study. They were asked to perform isometric knee extension at 100% maximum voluntary contraction for 10 seconds. CWT analysis was presented as scalogram. Results showed that the presence of red color spectrum in the young subjects was less than that in the elderly group, indicating that the major recruitments occur more frequently in the elderly. When considering the neuronal firing frequency, the elderly subject operates the firing frequency at a lower range than the young group. The findings in this study confirmed that the CWT can be used to identify the age-related changes in motor unit recruitment pattern.
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