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Evaluation of the Electromyography Test for the Analysis of the Aerobic-Anaerobic Transition in Elite Cyclists during Incremental Exercise

机译:肌电图测试对渐进式运动中优秀自行车运动员有氧-无氧转变的分析评价

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(1) Background: The aim of this study was to investigate the validity and reliability of surface electromyography (EMG) for automatic detection of the aerobic and anaerobic thresholds during an incremental continuous cycling test using 1 min exercise periods in elite cyclists. (2) Methods: Sixteen well-trained cyclists completed an incremental exercise test (25 W/1 min) to exhaustion. Surface bipolar EMG signals were recorded from the vastus lateralis, vastus medialis, biceps femoris, and gluteus maximus, and the root mean square (RMS) were assessed. The multi-segment linear regression method was used to calculate the first and second EMG thresholds (EMG T1 and EMG T2 ). During the test, gas exchange data were collected to determine the first and second ventilatory thresholds (VT 1 and VT 2 ). (3) Results: Two breakpoints (thresholds) were identified in the RMS EMG vs. time curve for all muscles in 75% of participants. The two breakpoints, EMG T1 and EMG T2 , were detected at around 70%–80% and 90%–95% of VO 2MAX , respectively. No significant differences were found between the means of VT 1 and EMG T1 for the vastii and biceps femoris muscles ( p 0.05). There were no significant differences between means of EMG T2 and VT 2 ( p 0.05). (4) Conclusions: It is concluded that the multi-segment linear regression algorithm is a valid non-invasive method for analyzing the aerobic-anaerobic transition during incremental tests with 1 min stage durations.
机译:(1)背景:本研究的目的是研究在精英骑自行车者使用1分钟运动周期进行的递增连续骑行测试过程中,表面肌电图(EMG)用于自动检测有氧和无氧阈值的有效性和可靠性。 (2)方法:十六名训练有素的骑车人完成了一项递增运动测试(25 W / 1分钟),使自己筋疲力尽。记录了来自股外侧,股内侧,股二头肌和臀大肌的表面双极EMG信号,并评估了均方根(RMS)。使用多段线性回归方法来计算第一和第二EMG阈值(EMG T1和EMG T2)。在测试过程中,收集了气体交换数据以确定第一和第二通气阈值(VT 1和VT 2)。 (3)结果:在75%的参与者中,所有肌肉的RMS EMG与时间曲线中都确定了两个断点(阈值)。 EMG T1和EMG T2这两个断点分别占VO 2MAX的70%–80%和90%–95%。股静脉和股二头肌的VT 1和EMG T1均值之间无显着差异(p> 0.05)。 EMG T2和VT 2的均值之间无显着差异(p> 0.05)。 (4)结论:结论是,多段线性回归算法是一种有效的非侵入性方法,用于分析持续时间为1分钟的增量测试过程中的有氧-无氧转变。

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