Towards validation and standardization of automatic gait event identification algorithms for use in paediatric pathological populations

Towards validation and standardization of automatic gait event identification algorithms for use in paediatric pathological populations

Visscher, Rosa M.S. (ETH Zürich)
Sansgiri, Sailee (Student TU Delft)
Freslier, Marie (University of Basel)
Harlaar, J. (TU Delft Biomechatronics & Human-Machine Control)
Brunner, Reinald (University of Basel)
Taylor, William R. (ETH Zürich)
Singh, Navrag B. (ETH Zürich)

2021

Background: To analyse and interpret gait patterns in pathological paediatric populations, accurate determination of the timing of specific gait events (e.g. initial contract – IC, or toe-off – TO) is essential. As currently used clinical identification methods are generally subjective, time-consuming, or limited to steps with force platform data, several techniques have been proposed based on processing of marker kinematics. However, until now, validation and standardization of these methods for use in diverse gait patterns remains lacking. Research questions: 1) What is the accuracy of available kinematics-based identification algorithms in determining the timing of IC and TO for diverse gait signatures? 2) Does automatic identification affect interpretation of spatio-temporal parameters?. Methods: 3D kinematic and kinetic data of 90 children were retrospectively analysed from a clinical gait database. Participants were classified into 3 gait categories: group A (toe-walkers), B (flat IC) and C (heel IC). Five kinematic algorithms (one modified) were implemented for two different foot marker configurations for both IC and TO and compared with clinical (visual and force-plate) identification using Bland-Altman analysis. The best-performing algorithm-marker configuration was used to compute spatio-temporal parameters (STP) of all gait trials. To establish whether the error associated with this configuration would affect clinical interpretation, the bias and limits of agreement were determined and compared against inter-trial variability established using visual identification. Results: Sagittal velocity of the heel (Group C) or toe marker configurations (Group A and B) was the most reliable indicator of IC, while the sagittal velocity of the hallux marker configuration performed best for TO. Biases for walking speed, stride time and stride length were within the respective inter-trial variability values. Significance: Automatic identification of gait events was dependent on algorithm-marker configuration, and best results were obtained when optimized towards specific gait patterns. Our data suggest that correct selection of automatic gait event detection approach will ensure that misinterpretation of STPs is avoided.

Automatic gait event detection
Cerebral palsy
Clinical gait analysis
Gait events
Spatio-temporal parameters

http://resolver.tudelft.nl/uuid:26be65cd-5a2d-4950-afd0-4aae341cd95f

https://doi.org/10.1016/j.gaitpost.2021.02.031

0966-6362

Gait & Posture, 86, 64-69

Institutional Repository

journal article

© 2021 Rosa M.S. Visscher, Sailee Sansgiri, Marie Freslier, J. Harlaar, Reinald Brunner, William R. Taylor, Navrag B. Singh