2022
DOI: 10.3390/s23010058
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Analyzing Intra-Cycle Velocity Profile and Trunk Inclination during Wheelchair Racing Propulsion

Abstract: 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 a… Show more

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Cited by 10 publications
(7 citation statements)
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“…Given these results, we agree with the assumptions of Basteris et al [15], who found that the fluctuating speed during the push phase and particularly the decelerations are associated with inefficient coupling of the hand and pushrim. The temporary upward spike seen in the velocity profile in Figure 7 (arrow in Figure 7b) was also reported by Poulet et al [3].…”
Section: Discussionsupporting
confidence: 86%
See 2 more Smart Citations
“…Given these results, we agree with the assumptions of Basteris et al [15], who found that the fluctuating speed during the push phase and particularly the decelerations are associated with inefficient coupling of the hand and pushrim. The temporary upward spike seen in the velocity profile in Figure 7 (arrow in Figure 7b) was also reported by Poulet et al [3].…”
Section: Discussionsupporting
confidence: 86%
“…Similarly, van Dijk et al [2] found that 25-30% of the total forward propulsive impulse per push due to trunk motion was performed in the recovery phase after hand release. Poulet et al [3] reported that "a second peak in velocity is usually assumed to be caused by the inertia of the trunk". Furthermore, Poulet et al [3] assumed that "the presence of a second velocity peak .…”
Section: Introductionmentioning
confidence: 99%
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“…The linear displacement velocities for each rear wheel were calculated from the angular velocity recorded by the non-slip inertial measurement unit and the wheel radius ( 16 ). The data collected by the IMUs were processed using a specific script involving calculation of the average of all variables for the left and right wheels for each push.…”
Section: Methodsmentioning
confidence: 99%
“…Modelling these inertial forces was shown to better predict wheelchair speed than based on propulsion moments alone, in a study with 19 experienced manual wheelchair users who propelled a wheelchair on the ground (Chénier et al, 2016). This phenomenon has also been observed in wheelchair racing (Moss et al, 2005;Poulet et al, 2022).…”
Section: Introductionmentioning
confidence: 91%