Equimoves: A wireless networked inertial measurement system for objective examination of horse gait

Stephan Bosch* (Corresponding Author), Filipe Serra Bragança, Mihai Marin-Perianu, Raluca Marin-Perianu, Berend Jan van der Zwaag, John Voskamp, Willem Back, René Van Weeren, Paul Havinga

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    13 Citations (Scopus)
    58 Downloads (Pure)

    Abstract

    In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinarians in assessing lameness and gait performance in horses. The system works by capturing horse motion from up to eight synchronized wireless inertial measurement units. It can be used in various equine gait modes, and analyzes both upper-body and limb movements. The validation against an optical motion capture system is based on a Bland-Altman analysis that illustrates the agreement between the two systems. The sagittal kinematic results (protraction, retraction, and sagittal range of motion) show limits of agreement of ±2.3 degrees and an absolute bias of 0.3 degrees in the worst case. The coronal kinematic results (adduction, abduction, and coronal range of motion) show limits of agreement of -8.8 and 8.1 degrees, and an absolute bias of 0.4 degrees in the worst case. The worse coronal kinematic results are most likely caused by the optical system setup (depth perception difficulty and suboptimal marker placement). The upper-body symmetry results show no significant bias in the agreement between the two systems; in most cases, the agreement is within ±5 mm. On a trial-level basis, the limits of agreement for withers and sacrum are within ±2 mm, meaning that the system can properly quantify motion asymmetry. Overall, the bias for all symmetry-related results is less than 1 mm, which is important for reproducibility and further comparison to other systems.

    Original languageEnglish
    Article number850
    JournalSensors (Switserland)
    Volume18
    Issue number3
    DOIs
    Publication statusPublished - 13 Mar 2018

    Keywords

    • Gait analysis
    • Horse
    • IMU
    • Lameness
    • Optical motion capture
    • Agreement analysis

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