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机械腱描记法:使用基于压电的测量系统研究肌腱生理机械振荡的一种新方法的描述与评估。

Mechanotendography: description and evaluation of a novel method for investigating the physiological mechanical oscillations of tendons using a piezo-based measurement system.

作者信息

Schaefer Laura V, Bittmann Frank N

机构信息

Division Regulative Physiology and Prevention, Department Sports and Health Sciences, University of Potsdam, Potsdam.

出版信息

Eur J Transl Myol. 2021 Mar 26;31(1):9553. doi: 10.4081/ejtm.2021.9553.

Abstract

The mechanotendography (MTG) is a method for analyzing the mechanical oscillations of tendons during muscular actions. The aim of this investigation was to evaluate the technical reliability of a piezo-based measurement system used for MTG. The reliability measurements were performed by using audio samples played by a subwoofer. The thereby generated pressure waves were recorded by a piezo-based measurement system. An audio of 40 Hz sine oscillations and four different formerly in vivo recorded MTG-signals were converted into audio files and were used as test signals. Five trials with each audio were performed and one audio was used for repetition trials on another day. The signals' correlation was estimated by Spearman (MCC) and intraclass correlation coefficients (ICC(3,1)), Cronbach's alpha (CA) and by mean distances (MD). All parameters were compared between repetition and randomized matched signals. The repetition trials show high correlations (MCC: 0.86 ± 0.13, ICC: 0.89 ± 0.12, CA: 0.98 ± 0.03), low MD (0.03 ± 0.03V) and differ significantly from the randomized matched signals (MCC: 0.15 ± 0.10, ICC: 0.17 ± 0.09, CA: 0.37 ± 0.16, MD: 0.19 ± 0.01V) (p = 0.001 - 0.043). This speaks for an excellent reliability of the measurement system. Presuming the skin above superficial tendons oscillates adequately, we estimate this tool as valid for the application in musculoskeletal system.

摘要

机械肌腱造影(MTG)是一种分析肌肉活动期间肌腱机械振荡的方法。本研究的目的是评估用于MTG的基于压电的测量系统的技术可靠性。可靠性测量通过使用低音炮播放的音频样本进行。由此产生的压力波由基于压电的测量系统记录。将40Hz正弦振荡的音频和四个不同的先前在体内记录的MTG信号转换为音频文件,并用作测试信号。对每个音频进行了五次试验,另一天使用一个音频进行重复试验。信号的相关性通过斯皮尔曼(MCC)、组内相关系数(ICC(3,1))、克朗巴哈α系数(CA)和平均距离(MD)进行估计。比较了重复信号和随机匹配信号之间的所有参数。重复试验显示出高相关性(MCC:0.86±0.13,ICC:0.89±0.12,CA:0.98±0.03)、低MD(0.03±0.03V),并且与随机匹配信号有显著差异(MCC:0.15±0.10,ICC:0.17±0.09,CA:0.37±0.16,MD:0.19±0.01V)(p = 0.001 - 0.043)。这表明测量系统具有出色的可靠性。假定浅表肌腱上方的皮肤有足够的振荡,我们估计该工具在肌肉骨骼系统中的应用是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21e8/8056155/1aceabb0d861/ejtm-31-1-9553-g001.jpg

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