Candotti Cláudia Tarragô, Loss Jefferson Fagundes, Melo Mônica de Oliveira, La Torre Marcelo, Pasini Maicon, Dutra Lucas Araújo, de Oliveira José Leandro Nunes, de Oliveira Lino Pinto
Universidade do Vale do Rio dos Sinos, Curso de Educação Física, São Leopoldo, Brazil.
Can J Physiol Pharmacol. 2008 May;86(5):272-8. doi: 10.1139/y08-020.
The purpose of this study was to determine the validity of using the electromyography (EMG) signal as a noninvasive method of estimating the lactate threshold (LT) power output in recreational cyclists. Using an electromagnetic bicycle ergometer and constant pedaling cadence of 80 rpm, 24 recreational cyclists performed an incremental exercise protocol that consisted of stepwise increases in power output of 25 W every 3 min until exhaustion. The EMG signal was recorded from the right vastus lateralis (VL) and right rectus femoris (RF) throughout the test. Blood samples were taken from the fingertip every 3 min. The LT was determined by examining the relation between the lactate concentration and the power output using a log-log transformation model. The root mean square (RMS) value from the EMG signal was calculated for every 1-second non-superimposing window. Sets of pairs of straight regression lines were plotted and the corresponding determination coefficients (R(2)) were calculated. The intersection point of the pair of lines with the highest R(2) product was chosen to represent the EMG threshold (EMGT). The results showed that the correlation coefficients (r) between EMGT and LT were significant (p < 0.01) and high for the VL (r = 0.826) and RF (r = 0.872). The RF and VL muscles showed similar behavior during the maximal incremental test and the EMGT and LT power output were equivalent for both muscles. The validity of using EMG to estimate the LT power output in recreational cyclists was confirmed.
本研究的目的是确定使用肌电图(EMG)信号作为一种无创方法来估计休闲自行车骑行者乳酸阈值(LT)功率输出的有效性。24名休闲自行车骑行者使用电磁自行车测力计,并保持80转/分钟的恒定蹬踏节奏,进行了递增运动方案,该方案包括每3分钟功率输出逐步增加25瓦,直至力竭。在整个测试过程中,从右侧股外侧肌(VL)和右侧股直肌(RF)记录EMG信号。每3分钟从指尖采集血样。使用对数-对数变换模型,通过检查乳酸浓度与功率输出之间的关系来确定LT。对每1秒的非叠加窗口计算EMG信号的均方根(RMS)值。绘制多组直线回归对,并计算相应的决定系数(R²)。选择R²乘积最高的直线对的交点来代表EMG阈值(EMGT)。结果表明,EMGT与LT之间的相关系数(r)具有显著性(p < 0.01),且对于VL(r = 0.826)和RF(r = 0.872)而言相关性较高。在最大递增测试中,RF和VL肌肉表现出相似的行为,并且两种肌肉的EMGT和LT功率输出相当。证实了使用EMG来估计休闲自行车骑行者LT功率输出的有效性。