Gait Deviation and Neurological Diseases: A Comparative Study of Quantitative Measures

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Abstract

This comparative study addresses the quantification of gait deviations from normal gait, and across different motor impairments induced by neurological diseases. We compared Gait Deviation Index and Gait Profile Score, well-known in the literature, to a novel 3D-metric based on Dynamic Time Warping (DTW). These deviation measures are analyzed following the same methodology, based on unsupervised learning, on the same database. Results show that our 3D-metric outperforms the others. This confirms that for finely quantifying deviations, it is crucial to consider different references to represent normal gait variability, as well as using an elastic distance (DTW) for matching two gait cycles.

Original languageEnglish
Title of host publicationAdvances in Digital Health and Medical Bioengineering - Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023 – Volume 3
Subtitle of host publicationTelemedicine, Biomaterials, Environmental Protection, Medical Imaging, and Biomechanics
EditorsHariton-Nicolae Costin, Ratko Magjarević, Gladiola Gabriela Petroiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages498-507
Number of pages10
ISBN (Print)9783031625220
DOIs
Publication statusPublished - 1 Jan 2024
Event11th International Conference on E-Health and Bioengineering, EHB 2023 - Bucharest, Romania
Duration: 9 Nov 202310 Nov 2023

Publication series

NameIFMBE Proceedings
Volume111 IFMBE
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference11th International Conference on E-Health and Bioengineering, EHB 2023
Country/TerritoryRomania
CityBucharest
Period9/11/2310/11/23

Keywords

  • Dynamic Time Warping
  • Gait Deviation Index
  • Gait Profile Score
  • Knee Angular Kinematics
  • Normal Gait Profiles

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