Literature DB >> 29028626

Accuracy of three methods in gait event detection during overground running.

Shiwei Mo1, Daniel H K Chow2.   

Abstract

Inertial measurement units (IMUs) have been extensively used to detect gait events. Various methods have been proposed for detecting initial contact (IC) and toe-off (TO) using IMUs affixed at various anatomical locations. However, the accuracy of such methods has yet to be compared. This study evaluated the accuracy of three common methods used for detecting gait events during jogging and running: (1) S-method, in which IC is identified as the instant of peak foot-resultant acceleration and TO is identified when the acceleration exceeds a threshold of 2g in the region of interest; (2) M-method, in which IC and TO are defined as the minimum before the positive peak shank vertical acceleration and the minimum in the region of interest, respectively; and (3) L-method, in which IC is indicated by the instant of peak pelvis anteroposterior acceleration and TO is identified by the maximum in the region of interest. The performance of the IMU-based methods in detecting IC and TO and estimating stance time (ST) were tested on 11 participants at jogging and running speeds against a reference provided by a force-platform method. The S-method was the most accurate for IC detection (overall mean absolute difference (MAD): 4.7±4.1ms). The M-method was the most accurate for TO detection (overall MAD: 7.0±3.5ms). A combination of M- and S-methods, called the MS-method, was the most accurate for ST estimation (overall MAD: 9.0±3.9ms). Thus, the MS-method is recommended for ST estimation; however, this method requires four IMUs for bilateral estimation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Inertial measurement unit; Initial contact; Jogging; Running; Stance time; Toe-off

Mesh:

Year:  2017        PMID: 29028626     DOI: 10.1016/j.gaitpost.2017.10.009

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  14 in total

1.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

2.  Identification of Patients with Sarcopenia Using Gait Parameters Based on Inertial Sensors.

Authors:  Jeong-Kyun Kim; Myung-Nam Bae; Kang Bok Lee; Sang Gi Hong
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

3.  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

4.  Kinematics and temporospatial parameters during gait from inertial motion capture in adults with and without HIV: a validity and reliability study.

Authors:  Karina Berner; John Cockcroft; Quinette Louw
Journal:  Biomed Eng Online       Date:  2020-07-24       Impact factor: 2.819

5.  Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units.

Authors:  Markus Zrenner; Stefan Gradl; Ulf Jensen; Martin Ullrich; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2018-11-30       Impact factor: 3.576

6.  Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?

Authors:  Markus Zrenner; Arne Küderle; Nils Roth; Ulf Jensen; Burkhard Dümler; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2020-10-07       Impact factor: 3.576

Review 7.  A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses.

Authors:  Huong Thi Thu Vu; Dianbiao Dong; Hoang-Long Cao; Tom Verstraten; Dirk Lefeber; Bram Vanderborght; Joost Geeroms
Journal:  Sensors (Basel)       Date:  2020-07-17       Impact factor: 3.576

8.  Evaluating the Accuracy of Virtual Reality Trackers for Computing Spatiotemporal Gait Parameters.

Authors:  Michelangelo Guaitolini; Fitsum E Petros; Antonio Prado; Angelo M Sabatini; Sunil K Agrawal
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

9.  How Task Constraints Influence the Gaze and Motor Behaviours of Elite-Level Gymnasts.

Authors:  Joana Barreto; Filipe Casanova; César Peixoto; Bradley Fawver; Andrew Mark Williams
Journal:  Int J Environ Res Public Health       Date:  2021-06-29       Impact factor: 3.390

10.  An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model.

Authors:  Qigao Fan; Hai Zhang; Yan Sun; Yixin Zhu; Xiangpeng Zhuang; Jie Jia; Pengsong Zhang
Journal:  Sensors (Basel)       Date:  2018-05-02       Impact factor: 3.576

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