Literature DB >> 26283411

A kinematic method to detect foot contact during running for all foot strike patterns.

Clare E Milner1, Max R Paquette2.   

Abstract

The biomechanics of distance running are studied in relation to both understanding injury mechanisms and improving performance. Kinematic methods must be used to identify the stance phase of running when data are recorded during running on a standard treadmill or outside the laboratory. Recently, a focus on foot strike patterns has emerged in the field. Thus, there is a need for a kinematic method to identify foot contact that is equally effective for both rearfoot and non-rearfoot strike patterns. The purpose of this study was to determine whether a new kinematic method could accurately determine foot contact during running in both rearfoot and non-rearfoot strikers. Overground gait data were collected at on 22 runners, 11 with a rearfoot strike pattern and 11 with a non-rearfoot strike pattern. Data were processed to identify foot contact from: vertical ground reaction force, two previously published kinematic methods, and our new kinematic method. Limits of agreement were used to determine bias and random error of each kinematic method compared to ground reaction force onset. The new method had comparable random error at 200 Hz sampling frequency (5 ms per frame) to the previous methods (7 frames vs 6-9 frames) and produced the same offset for both strike patterns (3 frames), while the existing methods had different offsets for different strike patterns (4 or 7 frames). Study findings support use of this new method, as it can be applied to all running strike patterns without adjusting the frame offset, simplifying data processing.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait; Ground reaction force; Heel strike; Strike index

Mesh:

Year:  2015        PMID: 26283411     DOI: 10.1016/j.jbiomech.2015.07.036

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


  7 in total

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2.  Validation of Running Gait Event Detection Algorithms in a Semi-Uncontrolled Environment.

Authors:  Seth R Donahue; Michael E Hahn
Journal:  Sensors (Basel)       Date:  2022-04-30       Impact factor: 3.847

3.  Validity and Reliability of 2-Dimensional Video-Based Assessment to Analyze Foot Strike Pattern and Step Rate During Running: A Systematic Review.

Authors:  Fábio Carlos Lucas de Oliveira; Anny Fredette; Sherezada Ochoa Echeverría; Charles Sebiyo Batcho; Jean-Sébastien Roy
Journal:  Sports Health       Date:  2019-05-30       Impact factor: 3.843

4.  EFFECTS OF SURFACE ON TRIPLE HOP DISTANCE AND KINEMATICS.

Authors:  Amanda B Gregory; Anh-Dung Nguyen; Jeffrey B Taylor; Kevin R Ford
Journal:  Int J Sports Phys Ther       Date:  2020-12

5.  Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors.

Authors:  Frank J Wouda; Matteo Giuberti; Giovanni Bellusci; Erik Maartens; Jasper Reenalda; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  Front Physiol       Date:  2018-03-22       Impact factor: 4.566

6.  A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks.

Authors:  Bernd J Stetter; Frieder C Krafft; Steffen Ringhof; Thorsten Stein; Stefan Sell
Journal:  Front Bioeng Biotechnol       Date:  2020-01-24

7.  Higher Hamstrings Strength and Stability Are Related to Lower Kinematics Alteration during Running after Central and Peripheral Fatigue.

Authors:  Alberto Encarnación-Martínez; Antonio García-Gallart; Roberto Sanchis-Sanchis; Irene Jimenez-Perez; Jose I Priego-Quesada; Pedro Pérez-Soriano
Journal:  Sensors (Basel)       Date:  2022-03-03       Impact factor: 3.576

  7 in total

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