A reliability study on the cumulative averaging method for estimating effective stimulus time in vibration studies

IF 2 4区 医学 Q3 NEUROSCIENCES Journal of Electromyography and Kinesiology Pub Date : 2023-06-01 DOI:10.1016/j.jelekin.2023.102768
Aysegül Kilic , Gülsah Soytürk , Ayse Karaoglu , Betilay Topkara Arslan , Ilhan Karacan , Kemal S. Türker
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Abstract

Finding the reflex circuitry responsible for high-frequency vibration-induced muscle contraction takes work. The main challenge is to determine the effective stimulus time (EST) point at which continuous (sinusoidal) stimulation (i.e., vibration) triggers the reflex response. A novel “cumulated averaging method” has been previously proposed for estimating the EST point. In the current study, we aimed to test the reliability of the cumulated average method. We used five different whole-body vibration (WBV) frequencies in two experiments. The consistency between the EST points estimated from the first and second experiments was analysed with the intraclass correlation (ICC) and technical error of measurement (TEM). The ICC coefficient with 95% CI for the EST point estimation was 0.988 (0.950–0.997). The relative TEM was 1.3%. We concluded that the cumulated average method is highly reliable in estimating the effective stimulus time point for high-frequency continuous sinusoidal signals.

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振动研究中估算有效激励时间的累积平均法的可靠性研究
找到负责高频振动引起的肌肉收缩的反射回路需要努力。主要挑战是确定连续(正弦)刺激(即振动)触发反射反应的有效刺激时间(EST)点。以前提出了一种新的“累积平均法”来估计EST点。在本研究中,我们旨在检验累积平均法的可靠性。我们在两个实验中使用了五种不同的全身振动(WBV)频率。利用组内相关性(ICC)和测量技术误差(TEM)分析了第一次和第二次实验估计的EST点之间的一致性。EST点估计的ICC系数(95%CI)为0.988(0.950–0.997)。相对TEM为1.3%。我们得出结论,累积平均法在估计高频连续正弦信号的有效刺激时间点方面是高度可靠的。
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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
70
审稿时长
74 days
期刊介绍: Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.
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