Contribution of limb momentum to power transfer in athletic wheelchair pushing

Masson, Geneviève; Bégin, Marc-André; Poncelas, M. Lopez; Pelletier, Suzanne; Lessard, Jean-Luc; Laroche, J.; Berrigan, Félix; Langelier, Eve; Smeesters, Cécile; Rancourt, Denis

doi:10.1016/j.jbiomech.2016.05.009

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…This suggests that the arms linear and angular momentum of the athlete are high enough, which in turn means they are heavy enough and/or moving with enough acceleration, to impact the velocity of the entire {MWC + athlete} system during propulsion. This experimental result comforts previous observations made using a numerical simulation of WCR propulsion [ 22 ].…”

Section: Discussionsupporting

confidence: 91%

Analyzing Intra-Cycle Velocity Profile and Trunk Inclination during Wheelchair Racing Propulsion

Poulet

Brassart

Simonetti

et al. 2022

Sensors

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The analysis of intra-cycle velocity profile of manual wheelchair (MWC) users has been used to highlight the significant role of trunk inertia in propulsion biomechanics. Maximal wheelchair linear velocity has previously been observed to be reached after the release of the handrims both during sports activities and daily life propulsion. This paper provides a combined analysis of linear velocity and trunk kinematics in elite wheelchair racing athletes during straight-line propulsion at stabilized speeds. MWC and trunk kinematics of eight athletes (level: 7 elite, 1 intermediate; classification: T54 (5), T53 (2) and T52 (1)) were monitored during 400 m races using inertial measurement units. An average propulsion cycle was computed for each athlete. The main finding of this article is the difference in propulsion patterns among the athletes, exhibiting either 1, 2 or 3 peaks in their velocity profile. A second peak in velocity is usually assumed to be caused by the inertia of the trunk. However, the presence of a second velocity peak among more severely impaired athletes with little to no trunk motion can either be associated to the inertia of the athletes’ arms or to their propulsion technique.

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Section: Discussionsupporting

confidence: 91%

Analyzing Intra-Cycle Velocity Profile and Trunk Inclination during Wheelchair Racing Propulsion

Poulet

Brassart

Simonetti

et al. 2022

Sensors

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“…Theoretical predictions of power transfer to the wheelchair were computed using a muscle-free Lagrangian dynamic model of the upper limb segments. 9 Their experimental investigation on an ergometer, along with a simplified model of the upper limb, suggested that momentum during the recovery phase is not the sole contributor to power transfer to a wheelchair, as muscles also substantially contribute to pushing.…”

Section: Introductionmentioning

confidence: 99%

Measurement of push-rim forces during racing wheelchair propulsion using a novel attachable force sensor system

Miyazaki

Iida

Nakashima

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part P:

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To improve competitive skills, it is important to clarify the relationship between the propulsion motion (the propulsive force in the use of racing wheelchairs optimized for athletes) and aerodynamic drag, which can change during propulsive motion. Therefore, the purpose of this research was to construct a novel force sensor system that is attachable to racing wheelchairs for individual athletes and usable in a wind tunnel facility to examine differences in the push-rim force characteristics of athletes based on the measured results. The system was composed of four two-dimensional component force sensors, batteries, and radio transmitters. From the output of the four two-dimensional component sensors, tangential and radial components of the push-rim force were measured. Three top-class long-distance wheelchair athletes participated in this study, which required each athlete to push a racing wheelchair at 5.56 m/s on a wheelchair roller system in a wind tunnel facility. The force sensor system was mounted on the participants’ individual racing wheelchairs. The measured tangential force waveforms were classified as either bimodal or unimodal depending on the athletes’ propulsion styles. Although two athletes showed similar propulsion style characteristics, the athlete with more years of experience showed better propulsive work efficiency and repeatability. Therefore, a difference in skill for applying propulsive force during the push phase, which is difficult to estimate by kinematic analysis, could be estimated by using the force sensor system.

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“…Many studies on wheelchair racing have measured propulsive movements using predetermined speeds and loads, but several studies have also reported maximum speeds (Barbosa and Coelho, 2017;Chae, 2000, 2007;Goosey et al, 1997;Kashiwagi et al, 2019;Masson et al, 2016;O'Connor et al, 1998;Rice et al, 2016). et al (2016) reported that the maximum speed for T53 and T54 racers was 9.0 ± 1.6 m/s with soft gloves and 9.3 ± 1.4 m/s with hard gloves.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Speed Changes in the 100-m Sprint and Maximum Speed in the 300-m Maximum Speed Test among Japanese Elite Wheelchair Racers

Kawabata

Nishimura

Ibusuki

et al. 2022

Int. J. Sport Health Sci.

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This study aimed to clarify the relationship between maximum speed and change in speed during 100-m sprints among elite Japanese wheelchair racers (T54 class). The study participants were instructed to sprint at maximum effort for the last 50-m section of a 300-m distance and from the starting line to a distance of 100 m. Propulsive movements were captured at 240 Hz using a high-speed camera. The mean (± standard deviation) maximum speed (MxSP) obtained in the 300-m sprint was 9.03 ± 0.19 m/s. The peak speed of the 100-m sprint (PkSP) was 8.42 ± 0.33 m/s and the speed during the 100-m sprint relative to the maximum speed (%MxSP) was 93.2% ± 2.6%. The PkSP appeared in the final section for all but one wheelchair racer, for whom it appeared in the 90-95-and 95-100-m sections. No wheelchair racers were able to achieve the MxSP within 100 m. However, as the MxSP correlated with speed after the last 30 m, it is possible that times in the second half of the 100m sprint could be improved by increasing the MxSP. The %MxSP in the final section correlated with the 100-m time, and wheelchair racers with a higher %MxSP in the final section showed higher speeds from the first half of the race.

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Contribution of limb momentum to power transfer in athletic wheelchair pushing

Cited by 5 publications

References 10 publications

Analyzing Intra-Cycle Velocity Profile and Trunk Inclination during Wheelchair Racing Propulsion

Analyzing Intra-Cycle Velocity Profile and Trunk Inclination during Wheelchair Racing Propulsion

Measurement of push-rim forces during racing wheelchair propulsion using a novel attachable force sensor system

Relationship between Speed Changes in the 100-m Sprint and Maximum Speed in the 300-m Maximum Speed Test among Japanese Elite Wheelchair Racers

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