Literature DB >> 32062587

Validity and reliability of a smartphone motion analysis app for lower limb kinematics during treadmill running.

Seyed Hamed Mousavi1, Juha M Hijmans2, Forough Moeini3, Reza Rajabi3, Reed Ferber4, Henk van der Worp5, Johannes Zwerver6.   

Abstract

OBJECTIVE: To investigate the validity and reliability of a smartphone application for selected lower-limb kinematics during treadmill running.
DESIGN: Validity and reliability study.
SETTING: Biomechanics laboratory. PARTICIPANTS: Twenty healthy female runners. MAIN OUTCOME MEASURE(S): Sagittal-plane hip, knee, and ankle angle and rearfoot eversion were assessed using the Coach's Eye Smartphone application and a 3D motion capture system. Paired t-test and intraclass correlation coefficients (ICC) established criterion validity of Coach's Eye; ICC determined test-retest and intrarater/interrater reliability. Standard error of measurement (SEM) and minimal detectable change (MDC) were also reported.
RESULTS: Significant differences were found between Coach's Eye and 3D measurements for ankle angle at touchdown and knee angle at toe-off (p < 0.05). ICCs for validity of Coach's Eye were excellent for rearfoot eversion at touchdown (ICC = 0.79) and fair-to-good for the other kinematics (range 0.51-0.74), except for hip at touchdown, which was poor (ICC = 0.36). Test-retest (range 0.80-0.92), intrarater (range 0.95-0.99) and interrater (range 0.87-0.94) ICC results were excellent for all selected kinematics.
CONCLUSION: Coach's Eye can be used as a surrogate for 3D measures of knee and rearfoot in/eversion at touchdown, and hip, ankle, and rearfoot in/eversion at toe-off, but not for hip and ankle at touchdown or knee at toe-off. Reliable running kinematics were obtained using Coach's Eye, making it suitable for repeated measures.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomechanics; Gait; Two-dimensional; Video analysis

Year:  2020        PMID: 32062587     DOI: 10.1016/j.ptsp.2020.02.003

Source DB:  PubMed          Journal:  Phys Ther Sport        ISSN: 1466-853X            Impact factor:   2.365


  6 in total

1.  Wearable Running Training Data Acquisition System Based on Intelligent Computer Technology.

Authors:  Ruirui Zhang; Zhao Liu; Zhansheng Chang; Yongqing Cao; Dan Liu
Journal:  Comput Math Methods Med       Date:  2022-07-01       Impact factor: 2.809

2.  Reliability of measurement using Image J for reach distance and movement angles in the functional reach test.

Authors:  Takayuki Suzuki; Hiroyuki Hashisdate; Yuhki Fujisawa; Mitsunobu Yatsunami; Tomohiro Ota; Natsuki Shimizu; Tetsuo Betsuyaku
Journal:  J Phys Ther Sci       Date:  2021-02-13

3.  The effect of changing foot progression angle using real-time visual feedback on rearfoot eversion during running.

Authors:  Seyed Hamed Mousavi; Laurens van Kouwenhove; Reza Rajabi; Johannes Zwerver; Juha M Hijmans
Journal:  PLoS One       Date:  2021-02-10       Impact factor: 3.240

4.  Fusion of Wearable Kinetic and Kinematic Sensors to Estimate Triceps Surae Work during Outdoor Locomotion on Slopes.

Authors:  Sara E Harper; Dylan G Schmitz; Peter G Adamczyk; Darryl G Thelen
Journal:  Sensors (Basel)       Date:  2022-02-18       Impact factor: 3.576

5.  The influence of weightlifting belts and wrist straps on deadlift kinematics, time to complete a deadlift and rating of perceived exertion in male recreational weightlifters: An observational study.

Authors:  Shirley S M Fong; Louisa M Y Chung; Yang Gao; Jeff Chak Wai Lee; Tak Ching Chang; Ada W W Ma
Journal:  Medicine (Baltimore)       Date:  2022-02-18       Impact factor: 1.817

6.  Usability and Reliability of the Edinburgh Visual Gait Score in Children with Spastic Cerebral Palsy Using Smartphone Slow-Motion Video Technology and a Motion Analysis Application: A Pilot Study.

Authors:  Alaric Aroojis; Bhushan Sagade; Suresh Chand
Journal:  Indian J Orthop       Date:  2021-01-13       Impact factor: 1.251

  6 in total

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