Pedaling Performance Changing of Elite Cyclists Is Mainly Determined by the Fatigue of Hamstring and Vastus Muscles during Repeated Sprint Cycling Exercise

Wang, Lejun; Shao, Qineng; Ma, Guoqiang; Gong, Mingxin; Niu, Wen; Qiu, Jun

doi:10.1155/2020/7294820

Cited by 7 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This improved metabolic efficiency in the extensor muscles is presumed to be a result of their interaction with the gluteal muscles, particularly the gluteus maximus [ 29 ]. Additionally, Wang et al reported that fatigue in the hamstrings and vastus medialis significantly affects cycling performance [ 32 ]. Particularly at high speeds, the activity of the hamstring muscles is increased.…”

Section: Discussionmentioning

confidence: 99%

Bone morphology and physical characteristics of the pro-cyclist hip joint

Akiho,

Hashida,

Tagawa

et al. 2024

International Orthopaedics (SICOT)

View full text Add to dashboard Cite

Purpose This study aimed to investigate the radiographic findings for the hip joint and hip range of motion in professional cyclists, and to determine their bone morphology and physical characteristics. The effects of physical characteristics on athletic performance were examined in terms of metabolic efficiency using simulation analysis. Methods We performed a case–control research study on 22 hips in 11 male professional cyclists (average age 28.5, height 1.73 m, weight 77.6 kg). Thirty hips in 15 healthy male volunteers were selected as controls. As radiographic evaluations, acetabular dysplasia was assessed on standardized radiographs. During physical evaluations, the hip range of motion was examined. We used simulation analysis to investigate the metabolic efficiency in the different cycling forms. Results The radiographic evaluations showed a significant difference in the incidence of acetabular dysplasia (p = 0.01): 59% (13/22 hips) in the pro-cyclist group versus 10% (3/30 hips) in the control group. The physical evaluations revealed significant differences in the hip internal rotation angle (p = 0.01), with greater ranges of internal rotation in the pro-cyclist group versus the control group. The simulation analyses showed that metabolism was reduced in the cycling form with hip internal rotation, especially in the lower extremities. Conclusions Pro-cyclists showed a high frequency of acetabular dysplasia and superior hip internal rotation. According to the cycling model analyses, hip internal rotation allowed pedaling with reduced metabolic power.

show abstract

Section: Discussionmentioning

confidence: 99%

Bone morphology and physical characteristics of the pro-cyclist hip joint

Akiho,

Hashida,

Tagawa

et al. 2024

International Orthopaedics (SICOT)

View full text Add to dashboard Cite

show abstract

“…Consequently, the calculated F/v and P/v profiles appear to predominantly reflect the muscle with the lowest aerobic capacity and the highest glycolytic power, requiring the recruitment of larger motor units at a given work rate. This idea is supported by the research of Wang et al (2020), according to which the contribution of the vastus lateralis muscle, which has the highest proportion of fast-twitch glycolytic fibers among the propulsive muscles in cycling, significantly determines the performance of elite cyclists.…”

Section: Limitationsmentioning

confidence: 96%

Understanding optimal cadence dynamics: a systematic analysis of the power-velocity relationship in track cyclists with increasing exercise intensity

Dunst,

Hesse,

Ueberschär

2024

Front. Physiol.

View full text Add to dashboard Cite

Background: This study aimed to investigate the changes in force-velocity (F/v) and power-velocity (P/v) relationships with increasing work rate up to maximal oxygen uptake and to assess the resulting alterations in optimal cadence, particularly at characteristic metabolic states.Methods: Fourteen professional track cyclists (9 sprinters, 5 endurance athletes) performed submaximal incremental tests, high-intensity cycling trials, and maximal sprints at varied cadences (60, 90, 120 rpm) on an SRM bicycle ergometer. Linear and non-linear regression analyses were used to assess the relationship between heart rate, oxygen uptake (V.O2), blood lactate concentration and power output at each pedaling rate. Work rates linked to various cardiopulmonary and metabolic states, including lactate threshold (LT1), maximal fat combustion (FATmax), maximal lactate steady-state (MLSS) and maximal oxygen uptake (V.O2max), were determined using cadence-specific inverse functions. These data were used to calculate state-specific force-velocity (F/v) and power-velocity (P/v) profiles, from which state-specific optimal cadences were derived. Additionally, fatigue-free profiles were generated from sprint data to illustrate the entire F/v and P/v continuum.Results: HR, V.O2 demonstrated linear relationships, while BLC exhibited an exponential relationship with work rate, influenced by cadence (p < 0.05, η2 ≥ 0.655). Optimal cadence increased sigmoidally across all parameters, ranging from 66.18 ± 3.00 rpm at LT1, 76.01 ± 3.36 rpm at FATmax, 82.24 ± 2.59 rpm at MLSS, culminating at 84.49 ± 2.66 rpm at V.O2max (p < 0.01, η2 = 0.936). A fatigue-free optimal cadence of 135 ± 11 rpm was identified. Sprinters and endurance athletes showed no differences in optimal cadences, except for the fatigue-free optimum (p < 0.001, d = 2.215).Conclusion: Optimal cadence increases sigmoidally with exercise intensity up to maximal aerobic power, irrespective of the athlete’s physical condition or discipline. Threshold-specific changes in optimal cadence suggest a shift in muscle fiber type recruitment toward faster types beyond these thresholds. Moreover, the results indicate the need to integrate movement velocity into Henneman’s hierarchical size principle and the critical power curve. Consequently, intensity zones should be presented as a function of movement velocity rather than in absolute terms.

show abstract

“…There are also changes in the muscle articulation angle and the neural activation pattern, recorded in the EMG signal [3,4]. More details of muscle fatigue with dynamic contractions are presented in [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Muscle Fatigue Analysis in Dynamic Contractions Using Semi-Automatic Segmentation of Muscle Inactivity Areas

Schiaber

Scalassara

Agulhari

et al. 2022

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

View full text Add to dashboard Cite

Electromyography (EMG) is a technique that registers muscle activity allowing the study of muscle behavior. One such study is the muscle fatigue analysis, which can be defined as the beginning of muscle tiredness and can occur in static or dynamic contractions. There are moments of activity and muscle rest during dynamic contractions, where the latter may not be interesting for some muscle analysis, like muscle fatigue. Therefore, removing muscle inactivity is attractive, but as the signal is not standardized, this process is slower and more individualized. So, this work aims at presenting a muscle fatigue analysis using semi-automatic segmentation of the EMG signal, cutting off the inactivity moments of an electromyography signal obtained during dynamic activity. This analysis consists in calculating the median frequency, a traditional measure to analyze muscle fatigue in static contractions. To assess the efficiency of the proposed method, the median frequency values were compared using manual and semi-automatic segmentation. The result is satisfactory, preserving the desired signal parts for analysis and indicating muscle fatigue as expected.

show abstract

Pedaling Performance Changing of Elite Cyclists Is Mainly Determined by the Fatigue of Hamstring and Vastus Muscles during Repeated Sprint Cycling Exercise

Cited by 7 publications

References 25 publications

Bone morphology and physical characteristics of the pro-cyclist hip joint

Bone morphology and physical characteristics of the pro-cyclist hip joint

Understanding optimal cadence dynamics: a systematic analysis of the power-velocity relationship in track cyclists with increasing exercise intensity

Muscle Fatigue Analysis in Dynamic Contractions Using Semi-Automatic Segmentation of Muscle Inactivity Areas

Contact Info

Product

Resources

About