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Heel strike detection using split force-plate treadmill.

Hossein Rouhani1, Masaki O Abe2, Kimitaka Nakazawa3

  • 1Rehabilitation Engineering Laboratory, Lyndhurst Centre, Toronto Rehabilitation Institute - University Health Network, 520 Sutherland Drive, Toronto, Ontario M4G 3V9, Canada; Rehabilitation Engineering Laboratory, Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.

Gait & Posture
|March 25, 2015
PubMed
Summary
This summary is machine-generated.

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Stepping on both force plates on a split treadmill causes heel-strike detection errors. A new estimation method (HSest) accurately detects heel-strikes and stride intervals, outperforming standard threshold methods (HS20N, HS50%) even with erroneous data.

Area of Science:

  • Biomechanics
  • Gait Analysis
  • Sports Technology

Background:

  • Split force-plate treadmills are common for gait analysis.
  • Unintended contact with the contra-lateral force plate introduces significant error in heel-strike detection.
  • Existing methods struggle to accurately identify heel-strike moments and stride intervals when erroneous data is present.

Purpose of the Study:

  • To quantify the error in heel-strike detection caused by stepping on both force plates.
  • To compare the accuracy of three detection methods (HS20N, HS50%, HSest) using erroneous data.
  • To evaluate the reliability of stride interval measurements across different detection methods.

Main Methods:

  • Eleven subjects walked on a split force-plate treadmill.
Keywords:
Foot switchGait phaseStride interval

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  • Heel-strike moments were detected using 20N (HS20N) and 50% body-weight (HS50%) thresholds.
  • A novel linear approximation method (HSest) estimated force profiles to detect heel-strikes.
  • Foot-switch data served as the reference for accuracy comparison.

    • Main Results:

    • HSest and HS20N demonstrated accurate heel-strike detection on unaffected force plates (median errors: 9 ms).
    • HS50% showed significantly larger errors (52 ms) on unaffected data.
    • HSest consistently provided robust and small errors for both heel-strike detection and stride interval calculation across subjects, even with erroneous data.
    • HS20N and HS50% exhibited substantial errors, particularly with contra-lateral force plate contact.

    Conclusions:

    • Unintended stepping on contra-lateral force plates occurs frequently (median 12.9% of strides).
    • The proposed HSest method offers a reliable solution for accurate heel-strike detection and stride interval measurement in the presence of common treadmill errors.
    • Standard threshold methods (HS20N, HS50%) are susceptible to significant inaccuracies when gait data is compromised by dual-plate contact.