Literature DB >> 28685862

Sprint mechanics evaluation using inertial sensor-based technology: A laboratory validation study.

I Setuain1,2, P Lecumberri3, J P Ahtiainen4, A A Mero4, K Häkkinen4, M Izquierdo1.   

Abstract

Advances in micro-electromechanical systems have turned magnetic inertial measurement units (MIMUs) into a suitable tool for vertical jumping biomechanical evaluation. Thus, this study aimed to determine whether appropriate reliability and agreement reports could also be obtained when analyzing 20-m sprint mechanics. Four bouts of 20-m sprints were evaluated to determine whether the data provided by a MIMU placed at the lumbar spine could reliably assess sprint mechanics and to examine the validity of the MIMU sensor compared to force plate recordings. Maximal power (P0 ), force (F0 ), and velocity (V0 ), as well as other mechanical determinants of sprint performance associated with the force-velocity, power-velocity, and ratio of forces-velocity, such as applied horizontal force loss (Sfv ) and decrease in ratio of forces (Drf ), were calculated and compared between instrumentations. Extremely large-to-very large correlation levels between MIMU sensor-based sprint mechanics variables and force plate recordings were obtained (mean±SD, force plate vs MIMU; V0, 8.61±0.85 vs 8.42±0.69; F0 , 383±110 vs 391±103; P0 , 873±246 vs 799±241; Sfv, -44.6±12.7 vs -46.2±10.7), ranging from 0.88 to 0.94, except for Drf, which showed weak-to-moderate correlation level (r=.45; -6.32±1.08 vs -5.76±0.68). Step-averaged force values measured with both systems were highly correlated (r=.88), with a regression slope close to the identity (1.01). Bland and Altman graphical representation showed a no random distribution of measured force values. Finally, very large-to-extremely large retest correlation coefficients were found for the intertrial reliability of MIMU measurements of sprint performance variables (r value ranging from .72 to .96). Therefore, MIMUs showed appropriate validity and reliability values for 20-m sprint performance variables.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Keywords:  biomechanics; inertial unit; sprint mechanics; validation

Mesh:

Year:  2017        PMID: 28685862     DOI: 10.1111/sms.12946

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  5 in total

1.  Wearables for Running Gait Analysis: A Systematic Review.

Authors:  Rachel Mason; Liam T Pearson; Gillian Barry; Fraser Young; Oisin Lennon; Alan Godfrey; Samuel Stuart
Journal:  Sports Med       Date:  2022-10-15       Impact factor: 11.928

2.  Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensors.

Authors:  Mathieu Falbriard; Maurice Mohr; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2020-01-08       Impact factor: 3.576

3.  Accuracy of Inertial Measurement Units When Applied to the Countermovement Jump of Track and Field Athletes.

Authors:  Paulo Miranda-Oliveira; Marco Branco; Orlando Fernandes
Journal:  Sensors (Basel)       Date:  2022-09-22       Impact factor: 3.847

4.  In-Field Validation of an Inertial Sensor-Based System for Movement Analysis and Classification in Ski Mountaineering.

Authors:  Jules Gellaerts; Evgeny Bogdanov; Farzin Dadashi; Benoit Mariani
Journal:  Sensors (Basel)       Date:  2018-03-16       Impact factor: 3.576

Review 5.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  5 in total

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