Dynamic analysis of human walking: Treadmills, loss of sensation, and comparisons with surrogate data

Jonathan B. Dingwell, Peter R. Cavanagh, Dagmar Sternad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Correlation dimensions and average maximum finite-time Lyapunov (MFTL) exponents were used to examine the kinematics of continuous level walking in human subjects. Comparisons were made between overground (OG) and motorized treadmill (TM) walking in young healthy subjects and between diabetic neuropathic (NP) patients and healthy controls (CO) during overground walking. Surrogate data were used to examine the stochastic nature of the stride-to-stride variability seen in these walking patterns. There were three primary results. First, the motorized treadmill significantly constrained the neuromuscular control and normal movement kinematics of walking. Second, NP patients demonstrated greater correlation dimensions in their movement patterns and slowed their walking speeds to maintain maximum upper body stability during unrestricted walking over level ground. Third, stride-to-stride fluctuations in walking kinematics could be clearly distinguished from correlated Gaussian noise and demonstrated changes in their structure that were related to the loss of peripheral sensation.

Original languageEnglish (US)
Title of host publication17th Biennial Conference on Mechanical Vibration and Noise
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages2791-2799
Number of pages9
ISBN (Electronic)9780791880395
DOIs
StatePublished - 1999
EventASME 1999 Design Engineering Technical Conferences, DETC 1999 - Las Vegas, United States
Duration: Sep 12 1999Sep 16 1999

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume7B-1999

Conference

ConferenceASME 1999 Design Engineering Technical Conferences, DETC 1999
CountryUnited States
CityLas Vegas
Period9/12/999/16/99

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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