Less Is More—Cyclists-Triathlete’s 30 min Cycling Time-Trial Performance Is Impaired With Multiple Feedback Compared to a Single Feedback

Bayne, Freya; Racinais, Sébastien; Mileva, Katya N.; Hunter, Simon C.; Gaoua, Nadia

doi:10.3389/fpsyg.2020.608426

Cited by 3 publications

(3 citation statements)

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“…In this study, the participants perceived both muscle activation and relaxation in the agonist–antagonist muscles as a single beep or an overlap of different beeps. It has been reported that the simultaneous multiple information of biomechanical output decreases pedaling endurance performance due to information overload (Bayne et al, 2020 ). Auditory feedback from two muscles could result in multiple information.…”

Section: Discussionmentioning

confidence: 99%

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Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling

Kibushi

Okada

2022

Physiological Reports

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Muscle co‐contraction between the agonist and antagonist muscles often causes low energy efficiency or movement disturbances. Surface electromyography biofeedback (sEMG‐BF) has been used to train muscle activation or relaxation but it is unknown whether sEMG‐BF reduces muscle co‐contraction. We hypothesized that auditory sEMG‐BF improves muscle co‐contraction. Our purpose was to investigate whether auditory sEMG‐BF is effective in improving muscle co‐contraction. Thirteen participants pedaled on a road bike using four different auditory sEMG‐BF conditions. We measured the surface electromyography at the lower limb muscles. The vastus lateralis (VL) and the semitendinosus (ST) activities were individually transformed into different beep sounds. Four feedback conditions were no‐feedback, VL feedback, ST feedback, and both VL and ST feedback. We compared the co‐contraction index (COI) of the knee extensor‐flexor muscles and the hip flexor‐extensor muscles among the conditions. There were no significant differences in COIs among the conditions ( p = 0.83 for the COI of the knee extensor‐flexor; p = 0.32 for the COI of the hip flexor‐extensor). To improve the muscle co‐contraction by sEMG‐BF, it may be necessary to convert muscle activation into a muscle co‐contraction. We concluded that individual sEMG‐BF does not immediately improve muscle co‐contraction during pedaling.

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Section: Discussionmentioning

confidence: 99%

“…It has been reported that the simultaneous multiple information of biomechanical output decreases pedaling endurance performance due to information overload (Bayne et al, 2020). Auditory feedback from two muscles could result in multiple information.…”

Section: Improving Emg-bf To Reduce Muscle Co-contractionmentioning

confidence: 99%

Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling

Kibushi

Okada

2022

Physiological Reports

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“…In this study, participants identified both the activation and relaxation of agonist-antagonist muscles either as a single beep or a combination of different beeps. Previous research indicates that the simultaneous processing of multiple pieces of biomechanical output information can decrease pedaling endurance performance due to information overload [29]. The auditory feedback from two muscles could indeed lead to the presentation of multiple pieces of information.…”

Section: Future Issues For Auditory Emg-bf To Improve Muscle Co-contr...mentioning

confidence: 99%

Electromyography biofeedback to improve dynamic motion

Kibushi¹

2023

Recent Advances in Alternative Medicine

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Electromyography biofeedback (EMG-BF) has been used to train the muscle activation or relaxation but the application of EMG-BF to improve dynamic motion (e.g. walking or pedaling) is open to investigation. This chapter deals with an introduction to our previous work and the latest research we are working on. In our previous study, we investigated whether auditory EMG-BF is effective in improving muscle co-contraction. Unfortunately, we found that individual EMG-BF does not immediately improve muscle co-contraction during pedaling. To improve the muscle co-contraction by EMG-BF, it may be necessary to convert muscle activation into a muscle co-contraction. In our latest study, we investigated whether visual EMG-BF is effective in stabilizing walking. We found that EMG-BF during normal walking partially stabilizes the center of mass acceleration. Finally, based on our research findings, I will discuss the construction of an EMG-BF system that can contribute to the improvement of dynamic movements.

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Impact of repositioning errors on the aerodynamic performances in cycling

Foguenne,

Schwartz,

Andrianne

2024

Preprint

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Aerodynamic drag is a significant force in cycling, especially at speeds above 40 km/h, where it can account for up to 90% of total resistance. Accurate aerodynamic assessment is essential for optimizing cycling performance through equipment and positional adjustments. However, traditional wind tunnel testing uses static models that fail to replicate the dynamic nature of actual cycling, limiting their ability to investigate biomechanical or physiological factors. This study quantifies the variability introduced by cyclists' repositioning during wind tunnel tests, compares it to drag differences from equipment changes, and evaluates the effectiveness of a real-time feedback system in reducing this variability. The study involved three phases: baseline helmet testing on a static mannequin, development of a position-tracking system, and wind tunnel testing with one amateur and one advanced cyclist. Differences in drag area (CDA) between aero-helmets were around 0.0032 m². Repositioning variability without feedback ranged from 0.003 m² to 0.072 m² for the amateur cyclist and from 0 m² to 0.020 m² for the advanced cyclist. Feedback reduced the amateur cyclist’s variability to 0.005 m² to 0.027 m², comparable to the advanced cyclist. However, feedback had limited effect on the advanced cyclist, with a drag variability of 0 m² to 0.013 m². These findings suggest that repositioning errors can overshadow aerodynamic gains from equipment, particularly for less experienced cyclists. While feedback helps reduce these errors, improved testing methods are needed to fully account for rider variability and optimize performance.

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Less Is More—Cyclists-Triathlete’s 30 min Cycling Time-Trial Performance Is Impaired With Multiple Feedback Compared to a Single Feedback

Cited by 3 publications

References 50 publications

Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling

Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling

Electromyography biofeedback to improve dynamic motion

Impact of repositioning errors on the aerodynamic performances in cycling

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