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

Phys Ther Sport. 2020 May:43:27-35. doi: 10.1016/j.ptsp.2020.02.003. Epub 2020 Feb 8.

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.

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

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Biomechanical Phenomena / physiology*
  • Female
  • Humans
  • Lower Extremity / physiology*
  • Mobile Applications*
  • Reproducibility of Results
  • Running / physiology*
  • Smartphone*