用交叉时频变换分解叠加波形

P. Bonato, Z. Erim
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引用次数: 8

摘要

识别肌肉纤维群(运动单位)放电的时间对于研究中枢神经系统产生肌肉力的策略以及神经肌肉疾病的临床诊断至关重要。在整个肌肉收缩过程中,这一过程包括对不同运动单元在随机时间产生的独特形状(动作电位)的识别。本文讨论了识别过程的一个具体方面:当两个或多个运动单元的动作电位叠加时,复合信号的分解。我们提出了一种基于交叉时间频率的程序,以确定哪两个(从先前确定的波形集合中)包含在叠加中。该程序还确定了两个波形的相对延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition of superimposed waveforms using the cross time frequency transform
The identification of the timing of the discharges of groups of muscle fibers (motor units) is of utmost importance in research into the strategies employed by the central nervous system in producing muscle force as well as in the clinical diagnosis of neuromuscular diseases. The process involves the recognition of unique shapes (action potentials) contributed by different motor units at random times throughout a muscle contraction. This paper addresses a specific aspect, of the identification process: the decomposition of the compound signal when the action potentials of two or more motor units are superimposed. We propose a cross-time-frequency-based procedure to identify which two (out of a previously identified collection of waveforms) are included in a superposition. The procedure also determines the relative delay of the two waveforms.
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