Comparative Methodological Approaches for Analyzing Margin of Stability During Normal Walking

Magali Sganga, Federico Villagra, Otar Akanyeti, Emiliano Pablo Ravera

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

A comprehensive evaluation of pathological gait patterns is essential for understanding the underlying pathology and its progression to deliver personalized treatments. One quantitative indicator for assessing fall risks during walking is margin of stability (MoS), a measure of instantaneous mechanical stability derived from the dynamic relationship between the extrapolated center of mass (CoM) and the center of pressure. However, extrapolating CoM during movement is not straightforward, and there is an undesired variability induced by the selected measurement protocol, which often depends on the available technology. Up until now, the extent of this variability has not been investigated systematically. This study compares four different CoM estimation methods. Based on the Conventional Gait Model, the first two methods estimate CoM using virtual sacrum (1) and pelvis centroid (2). The third method estimates CoM from ground reaction force (3), and the last method uses the accelerometer and gyroscope data from a smartphone mounted on the lower back. 21 healthy subjects (10 female, 11 male, age: 31.7 ± 9.0 years; BMI: 24.7 ± 3.5 kg m-2) walked on an instrumented treadmill at a fixed speed at 1.3 m s -1 for 3 minutes. Descriptive statistical analysis was performed, including temporal and normalized gait cycle analysis, focusing on the minimum and maximum MoS, and its ranges during walking. SPMld with paired t-tests was employed for the analysis. Our results suggest that CoM estimation varies significantly depending on the selected measurement protocol and technology which should be considered while reporting and interpreting MoS results.

Original languageEnglish
Title of host publication2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024 - Proceedings
PublisherIEEE Press
ISBN (Electronic)9798331521738
DOIs
Publication statusPublished - 31 Dec 2024
Event2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024 - Montevideo, Uruguay
Duration: 03 Dec 202406 Dec 2024

Publication series

Name2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024 - Proceedings

Conference

Conference2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024
Country/TerritoryUruguay
CityMontevideo
Period03 Dec 202406 Dec 2024

Keywords

  • gait analysis
  • margin of stability
  • motion capture
  • smartphone
  • treadmill

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