Literature DB >> 28830590

The use of a single inertial sensor to estimate 3-dimensional ground reaction force during accelerative running tasks.

Reed D Gurchiek1, Ryan S McGinnis2, Alan R Needle3, Jeffrey M McBride3, Herman van Werkhoven3.   

Abstract

The purpose of this investigation was to determine the feasibility of using a single inertial measurement unit (IMU) placed on the sacrum to estimate 3-dimensional ground reaction force (F) during linear acceleration and change of direction tasks. Force plate measurements of F and estimates from the proposed IMU method were collected while subjects (n=15) performed a standing sprint start (SS) and a 45° change of direction task (COD). Error in the IMU estimate of step-averaged component and resultant F was quantified by comparison to estimates from the force plate using Bland-Altman 95% limits of agreement (LOA), root mean square error (RMSE), Pearson's product-moment correlation coefficient (r), and the effect size (ES) of the differences between the two systems. RMSE of the IMU estimate of step-average F ranged from 37.70 N to 77.05 N with ES between 0.04 and 0.47 for SS while for COD, RMSE was between 54.19 N to 182.92 N with ES between 0.08 and 1.69. Correlation coefficients between the IMU and force plate measurements were significant (p≤0.05) for all values (r=0.53 to 0.95) except the medio-lateral component of step-average F. The average angular error in the IMU estimate of the orientation of step-average F was ≤10° for all tasks. The results of this study suggest the proposed IMU method may be used to estimate sagittal plane components and magnitude of step-average F during a linear standing sprint start as well as the vertical component and magnitude of step-average F during a 45° change of direction task.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometer; Ground reaction force; Inertial sensor

Mesh:

Year:  2017        PMID: 28830590     DOI: 10.1016/j.jbiomech.2017.07.035

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


  10 in total

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2.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

Review 3.  The Biomechanics of the Track and Field Sprint Start: A Narrative Review.

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Journal:  Sports Med       Date:  2019-09       Impact factor: 11.136

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

5.  Sacral acceleration can predict whole-body kinetics and stride kinematics across running speeds.

Authors:  Ryan S Alcantara; Evan M Day; Michael E Hahn; Alena M Grabowski
Journal:  PeerJ       Date:  2021-04-12       Impact factor: 2.984

6.  Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach.

Authors:  Reed D Gurchiek; Nicole Donahue; Niccolo M Fiorentino; Ryan S McGinnis
Journal:  IEEE Trans Biomed Eng       Date:  2022-01-20       Impact factor: 4.538

Review 7.  Indirect Measurement of Ground Reaction Forces and Moments by Means of Wearable Inertial Sensors: A Systematic Review.

Authors:  Andrea Ancillao; Salvatore Tedesco; John Barton; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2018-08-05       Impact factor: 3.576

Review 8.  Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.

Authors:  Reed D Gurchiek; Nick Cheney; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

9.  Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women's Ultimate Frisbee Games.

Authors:  Paul R Slaughter; Peter G Adamczyk
Journal:  Sensors (Basel)       Date:  2020-11-14       Impact factor: 3.576

Review 10.  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

  10 in total

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