Literature DB >> 24679708

A simple field method to identify foot strike pattern during running.

Marlène Giandolini1, Thibaut Poupard2, Philippe Gimenez2, Nicolas Horvais3, Guillaume Y Millet4, Jean-Benoît Morin2, Pierre Samozino5.   

Abstract

Identifying foot strike patterns in running is an important issue for sport clinicians, coaches and footwear industrials. Current methods allow the monitoring of either many steps in laboratory conditions or only a few steps in the field. Because measuring running biomechanics during actual practice is critical, our purpose is to validate a method aiming at identifying foot strike patterns during continuous field measurements. Based on heel and metatarsal accelerations, this method requires two uniaxial accelerometers. The time between heel and metatarsal acceleration peaks (THM) was compared to the foot strike angle in the sagittal plane (αfoot) obtained by 2D video analysis for various conditions of speed, slope, footwear, foot strike and state of fatigue. Acceleration and kinematic measurements were performed at 1000Hz and 120Hz, respectively, during 2-min treadmill running bouts. Significant correlations were observed between THM and αfoot for 14 out of 15 conditions. The overall correlation coefficient was r=0.916 (P<0.0001, n=288). The THM method is thus highly reliable for a wide range of speeds and slopes, and for all types of foot strike except for extreme forefoot strike during which the heel rarely or never strikes the ground, and for different footwears and states of fatigue. We proposed a classification based on THM: FFS<-5.49ms<MFS<15.2ms<RFS. With only a few precautions being necessary to ensure appropriate use of this method, it is reliable for distinguishing rearfoot and non-rearfoot strikers in situ.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometers; Classification; Field; Incline running; Running pattern

Mesh:

Year:  2014        PMID: 24679708     DOI: 10.1016/j.jbiomech.2014.03.002

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

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Review 3.  Soft Tissue Vibrations in Running: A Narrative Review.

Authors:  Marie-Caroline Play; Robin Trama; Guillaume Y Millet; Christophe Hautier; Marlène Giandolini; Jérémy Rossi
Journal:  Sports Med Open       Date:  2022-10-22

4.  Full Band Spectra Analysis of Gait Acceleration Signals for Peripheral Arterial Disease Patients.

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Journal:  Front Physiol       Date:  2018-08-07       Impact factor: 4.566

5.  Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution.

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6.  A Single Sacral-Mounted Inertial Measurement Unit to Estimate Peak Vertical Ground Reaction Force, Contact Time, and Flight Time in Running.

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7.  Differences in Peak Impact Accelerations Among Foot Strike Patterns in Recreational Runners.

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Journal:  Front Sports Act Living       Date:  2022-03-04

8.  IMU-Based Effects Assessment of the Use of Foot Orthoses in the Stance Phase during Running and Asymmetry between Extremities.

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Journal:  Sensors (Basel)       Date:  2021-05-10       Impact factor: 3.576

9.  Relationship between Lower Limb Kinematics and Upper Trunk Acceleration in Recreational Runners.

Authors:  Laura Simoni; Silvia Pancani; Federica Vannetti; Claudio Macchi; Guido Pasquini
Journal:  J Healthc Eng       Date:  2020-01-16       Impact factor: 2.682

Review 10.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

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  10 in total

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