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Sam J. Allen

Researcher at Loughborough University

Publications -  27
Citations -  398

Sam J. Allen is an academic researcher from Loughborough University. The author has contributed to research in topics: Kinematics & Running economy. The author has an hindex of 9, co-authored 25 publications receiving 284 citations.

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Running Technique is an Important Component of Running Economy and Performance.

TL;DR: This study provides novel and robust evidence that technique explains a substantial proportion of the variance in RE and performance and recommends that runners and coaches are attentive to specific aspects of stride parameters and lower limb angles in part to optimize pelvis movement, and ultimately enhance performance.
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Neuromuscular function in healthy occlusion

TL;DR: During maximum voluntary clenches in a healthy population, maximum masticatory muscle activity requires bilateral posterior contacts and the mandible to be in a stable centric position, whilst with anterior teeth contacts, both the muscle activity and the degree of symmetry in muscle activity are significantly reduced.
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Is a single or double arm technique more advantageous in triple jumping

TL;DR: The optimised technique used symmetrical shoulder flexion whereas the triple jumper had used an asymmetrical arm technique, which put the leg extensors into slower concentric conditions allowing greater extensor torques to be produced.
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The Muscle Morphology of Elite Sprint Running.

TL;DR: Findings demonstrate the pronounced inhomogeneity and anatomically specific muscularity required for fast sprinting, and provides novel, robust evidence that greater hip extensor and gluteus maximus volumes discriminate between elite and sub-elite sprinters and are strongly associated with sprinting performance.
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A kinematic algorithm to identify gait events during running at different speeds and with different footstrike types

TL;DR: Investigation of the accuracy of four kinematics-based algorithms to estimate ground contact events (GCEs) over a range of running speeds and footstrike types found they were typically negatively correlated to running speed, with offsets decreasing as speed increased.