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

Seyed Hamed Mousavi*, Juha M Hijmans, Forough Moeini, Reza Rajabi, Reed Ferber, Henk van der Worp, Johannes Zwerver

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

33 Citations (Scopus)
450 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)27-35
Number of pages9
JournalPhysical Therapy in Sport
Volume43
Early online date8-Feb-2020
DOIs
Publication statusPublished - May-2020

Keywords

  • Gait
  • Biomechanics
  • Video analysis
  • Two-dimensional
  • 2-DIMENSIONAL VIDEO ANALYSIS
  • FOOT-STRIKE PATTERNS
  • INJURIES
  • KNEE

Fingerprint

Dive into the research topics of 'Validity and reliability of a smartphone motion analysis app for lower limb kinematics during treadmill running'. Together they form a unique fingerprint.

Cite this