Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue

IF 2 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology Pub Date : 2023-06-01 DOI:10.1016/j.jelekin.2023.102775

Miloš Kalc , Katarina Puš , Armin Paravlic , Jure Urbanc , Boštjan Šimunič

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引用次数: 0

Abstract

The diagnostic accuracy of tensiomyography (TMG) parameters compared to the gold standard in neuromuscular fatigue evaluation using voluntary and electrically induced muscle activation is unclear. This study aimed to investigate the diagnostic accuracy of TMG parameters to detect individual changes after interventions that were designed to induce central or peripheral fatigue. Nineteen males (age: 32.2 ± 9.3 years) performed two interventions, consisting of maintaining 25% of maximal voluntary contraction (MViC_25%) and a 30 s all-out cycling test (Wingate), respectively. TMG parameters, maximum voluntary contraction (PtMViC), voluntary activation (VA%) and electrically elicited double twitches (Dtw) were assessed on the knee extensors before (PRE), one minute (POST) and seven minutes after (POST7) the intervention. The diagnostic accuracy (AUC) of TMG parameters were evaluated in comparison to two criteria measures (PtMViC and Dtw). RM ANOVA revealed a significant interaction between the effects of intervention and time on VA% (p = 0.001) and Dtw (p < 0.001) but not for PtMViC (p = 0.420). AUC showed that TMG parameters had a good ability in detecting muscular fatigue assessed by Dtw but not by PtMViC. The results of the current study suggest that TMG parameters can be used to monitor peripheral neuromuscular fatigue.

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腱肌造影参数监测周围神经肌肉疲劳的诊断准确性

与使用自主和电诱导肌肉激活评估神经肌肉疲劳的金标准相比，张力肌描记术（TMG）参数的诊断准确性尚不清楚。本研究旨在研究TMG参数的诊断准确性，以检测旨在诱导中枢或外周疲劳的干预措施后的个体变化。19名男性（年龄：32.2±9.3岁）进行了两项干预，分别包括保持25%的最大自主收缩（MViC25%）和30秒的全面循环测试（Wingate）。在干预前（PRE）、干预后1分钟（POST）和干预后7分钟（POST7）对膝伸肌的TMG参数、最大自主收缩（PtMViC）、自主激活（VA%）和电诱发双抽搐（Dtw）进行评估。TMG参数的诊断准确性（AUC）与两种标准测量（PtMViC和Dtw）进行比较评估。RM ANOVA显示，干预和时间对VA%（p=0.001）和Dtw（p<；0.001）的影响之间存在显著的交互作用，但对PtMViC（p=0.420）没有交互作用。目前的研究结果表明，TMG参数可用于监测外周神经肌肉疲劳。

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来源期刊

Journal of Electromyography and Kinesiology 医学-康复医学

CiteScore

4.70

自引率

8.00%

发文量

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.