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Purpose: The aim of this study was to determine the changes in neuromuscular contractile properties in elite cyclists associated to the peripheral fatigue produced in a maximal incremental test in cycle ergometer. Methods: Forty-eight volunteers' well-trained male cyclists were evaluated during the competition season within a recovery microcycle. Tensiomyography was used before and after performing an incremental test until exhaustion in cycle ergometer to measure the radial muscle belly displacement of the vastus lateralis (VL), rectus femoris (RF), and biceps femoris (BF) on the dominant leg. Maximum radial muscle belly displacement (Dm), contraction time (Tc), delay time (Td), sustain time (Ts), and radial displacement velocity (Vrd) were measured. Mixed-design factorial analysis of variance was used to detect changes in the mechanical and neuromuscular characteristics after a maximal incremental exercise test. Results: The results show in the evaluated muscles a moderate-large decrease (p < .01, η2 = 0.06-0.51) in Tc, Td, Dm, Ts, and Vrd. This decrease occurs more sharply in the BF than in RF or VL. Conclusion: An incremental effort until exhaustion produces peripheral fatigue associated with a decrease in Dm, Tc, Td, Ts, and Vrd, being more pronounced in biceps femoris than in vastus lateralis and rectus femoris. Coaches can use these changes found in the contractile properties as a reference to detect the muscle fatigue degree that certain training models pose for the cyclist. [ABSTRACT FROM AUTHOR]

The aim was to determine the predictive capacity of neuromuscular parameters on physiological predictors of performance related to pedaling power. The sample comprised fifty elite cyclists. On the same day, they were given a neuromuscular evaluation with tensiomyography (TMG) and then performed an effort test on a cycle ergometer until exhaustion. The TMG recorded the maximum radial muscle belly displacement, contraction time, delay time, derivative normalized response speed, and lateral symmetry. Peak power output (Wpeak · kg - 1), effort time, maximum lactate concentration, power in the first lactate threshold, and power in the second lactate threshold were recorded in the effort test. Linear regression analysis was used to determine the explanatory capacity of neuromuscular parameters on potential cycling performance indicators. A higher Wpeak · kg - 1 during a maximal incremental test on the cycle ergometer can be predicted moderately (R² = 0.683; R²a = 0.615; R = 0.826; Std. Error = 0.26017; p < 0.001) by a longer rectus femoris contraction time and a greater radial muscle belly displacement of the vastus lateralis and vastus medialis as well as a slower normalized response speed of the biceps femoris. In conclusion, neuromuscular parameters can partially explain performance in a specific cycling test until exhaustion. [ABSTRACT FROM AUTHOR]

The article discusses research on the use of tensiomyography (TMG) in assessing neuromuscular profile of top-level female kayakers. Topics explored include the way neuromuscular indicators determine kayaking competition performance, a comparison between the TMG parameters of female and male kayakers, and the use of intraclass correlation coefficient reliabilities in assessing reliability of the TMG parameters of deltoideus, trapezius, and latissimmus dorsi muscles.

The aim of this study is to determine the reliability and generalizability of the data structure from the assessment, through tensiomyography (TMG), the parameters of muscle time contraction (TC) and maximum radial displacement of the muscle belly (DM) of the vastus medialis, vastus lateralis, rectus femoris and biceps femoris muscles of 10 professional road cyclists. TMG measurements took place during the preparatory period and the competitive period. An analysis of variance components by least-squares procedure and maximum likelihood (<.0001), and an analysis of generalizability was performed. The results indicate that the values of error of the variance components analysis by least-squares procedure and maximum likelihood are identical for TC and DM variables, which enables us to consider the sample as normal, linear and homoscedastic. The precision model of the TC variable shows a suitable level of reliability and generalizability (e² = .89 Φ = .83). The model of DM variable shows a suitable level of reliability and a generalizability close to the proper one (e² = .826 Φ = .785). The optimization of the design with the variable TC achieved excellent levels of reliability e² = .94) and generalizability (Φ = .90), as well as the variable DM (e² = .92 Φ = .90). The importance of this work lies in the use of TMG as a primary intervention technique in the prevention of muscle injuries through the calculation of symmetries and their compensation with guaranteed reliability, accuracy and validity. [ABSTRACT FROM AUTHOR]

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