TY - GEN
T1 - Comparative Methodological Approaches for Analyzing Margin of Stability During Normal Walking
AU - Sganga, Magali
AU - Villagra, Federico
AU - Akanyeti, Otar
AU - Ravera, Emiliano Pablo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/12/31
Y1 - 2024/12/31
N2 - 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.
AB - 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.
KW - gait analysis
KW - margin of stability
KW - motion capture
KW - smartphone
KW - treadmill
UR - http://www.scopus.com/inward/record.url?scp=105001923227&partnerID=8YFLogxK
U2 - 10.1109/3DAHM62677.2024.10920777
DO - 10.1109/3DAHM62677.2024.10920777
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:105001923227
T3 - 2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024 - Proceedings
BT - 2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024 - Proceedings
PB - IEEE Press
T2 - 2024 International Symposium on 3D Analysis of Human Movement, 3DAHM 2024
Y2 - 3 December 2024 through 6 December 2024
ER -