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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
Assessment of level-walking aperiodicity
Fabrizio Pecoraro1, Claudia Mazzà, Mounir Zok
1Department of Human Movement and Sport Sciences, Istituto Universitario di Scienze Motorie, Rome, Italy. fabrizio.pecoraro@iusm.it
Journal of Neuroengineering and Rehabilitation
|December 13, 2006
Summary
Walking is not perfectly periodic, but pseudo-periodic. This study quantifies gait pseudo-periodicity and finds upper body movement deviates more from periodicity than the lower body, especially on shorter pathways.
Area of Science:
- Biomechanics
- Gait Analysis
- Human Movement Science
Background:
- Walking is often simplified as periodic in gait analysis, but it is more accurately described as pseudo-periodic.
- Understanding gait pseudo-periodicity is crucial for accurate analysis of human locomotion.
- Existing methods may oversimplify the cyclical nature of walking.
Purpose of the Study:
- To quantify gait pseudo-periodicity using single-stride data.
- To investigate how walking pathway length influences gait periodicity.
- To analyze the periodicity of upper and lower body movements separately.
- To assess the accuracy of foot-floor contact events in marking gait cycle periods.
Main Methods:
- Ten healthy young adults performed gait trials on 20-m and 8-m pathways.
- A stereophotogrammetric system captured 3D marker positions; foot contact was detected via an instrumented mat.
- An index J(t) was calculated using kinetic and potential energy-like quantities to assess mechanical state and pseudo-periodicity.
Main Results:
- A physiological threshold for walking pseudo-periodicity at natural speed was established for young adults.
- The upper body exhibited higher pseudo-periodicity (greater deviation from periodicity) than the lower body, irrespective of pathway length.
- Shorter pathways led to increased upper body pseudo-periodicity.
- Estimating gait cycle duration from heel contacts for the upper body introduced significant errors.
Conclusions:
- The developed method effectively quantifies gait pseudo-periodicity.
- The findings highlight the differential periodicity between upper and lower body segments during walking.
- The method is readily implementable in gait laboratories to validate stride periodicity assumptions.

