Literature DB >> 25250860

Effect of four different step detection thresholds on nonmotorized treadmill sprint measurement.

John B Cronin1, Michael C Rumpf.   

Abstract

The purpose of this study was to investigate the effect of 4 different step detection thresholds (10, 15, 20, and 30% body mass [BM]) on the kinetics and kinematics of a youth population sprinting on a Woodway nonmotorized treadmill (NMT). A total of 16 male youth athletes sprinted 30 m from a split start position. Of the 15 variables measured, significant differences (p ≤ 0.05) were found in the measurement of 5 kinematic (step length, vertical displacement, contact time, eccentric, and concentric time) and 2 kinetic (vertical and leg stiffness) variables between the 10 vs. 20 and 30% BM step detection thresholds. Contact time was also significantly different (12%) between 15 vs. 30% BM step detection thresholds. In terms of reliability, the 15 and 30% BM step detection thresholds were found the most stable across all variables (average coefficient of variation ∼6.0%). Given this information, a step detection threshold of 15% BM is recommended for quantifying kinematic and kinetic variables on a NMT, as this threshold seems to account for signal variability appropriately without compromising reliability.

Mesh:

Year:  2014        PMID: 25250860     DOI: 10.1519/JSC.0000000000000497

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  2 in total

1.  Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson's Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back.

Authors:  Minh H Pham; Morad Elshehabi; Linda Haertner; Silvia Del Din; Karin Srulijes; Tanja Heger; Matthis Synofzik; Markus A Hobert; Gert S Faber; Clint Hansen; Dina Salkovic; Joaquim J Ferreira; Daniela Berg; Álvaro Sanchez-Ferro; Jaap H van Dieën; Clemens Becker; Lynn Rochester; Gerhard Schmidt; Walter Maetzler
Journal:  Front Neurol       Date:  2017-09-04       Impact factor: 4.003

2.  Accurate Estimation of Running Temporal Parameters Using Foot-Worn Inertial Sensors.

Authors:  Mathieu Falbriard; Frédéric Meyer; Benoit Mariani; Grégoire P Millet; Kamiar Aminian
Journal:  Front Physiol       Date:  2018-06-12       Impact factor: 4.566

  2 in total

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