Multiscale entropy analysis of human gait dynamics

✍ Scribed by M. Costa; C.-K. Peng; Ary L. Goldberger; Jeffrey M. Hausdorff

• Book ID: 103881105
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 269 KB
• Volume: 330
• Category: Article
• ISSN: 0378-4371
• DOI: 10.1016/j.physa.2003.08.022

✦ Synopsis

We compare the complexity of human gait time series from healthy subjects under different conditions. Using the recently developed multiscale entropy algorithm, which provides a way to measure complexity over a range of scales, we observe that normal spontaneous walking has the highest complexity when compared to slow and fast walking and also to walking paced by a metronome. These findings have implications for modeling locomotor control and for quantifying gait dynamics in physiologic and pathologic states.