Nonlinear time series analysis of normal and pathological human walking.

By Jonathan B. Dingwell, J. Cusumano. Chaos, 2000

617 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Physical Therapy, Sports Therapy and Rehabilitation, Signal Processing

View Paper: https://www.semanticscholar.org/paper/510a6082a169f3133acbd077a2112b7092b7f13c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

In Physical Therapy, Sports Therapy and Rehabilitation

In Signal Processing

Citations in the corpus

Kinematic variability and local dynamic stability of upper body motions when walking at different speeds. (2006, positive): “Local dynamic stability was quantified using nonlinear time series methods (Dingwell and Cusumano, 2000).”
Feedback Control of Dynamic Bipedal Robot Locomotion (2007, background): “These more general periodic orbits are important when studying asymmetric gaits or the period-doubling path to chaos [64,84,122,228].”
Accelerometry: a technique for quantifying movement patterns during walking. (2008, background): “Dingwell and colleagues [73,82] proposed that postural instability, which is traditionally thought to be a manifestation of sensory loss, may instead be due to slower walking speeds.”
Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review (2016, background): “Dingwell and Cusumano [115] pointed out that nonlinear analysis techniques might " provide insight into the neuromuscular control processes that govern locomotion " and demonstrated that the variability in certain temporal gait tures must be carefully distinguished from the " gait stability, "…”
Human Movement Variability, Nonlinear Dynamics, and Pathology: Is There A Connection? (2011, positive): “116 However, previous studies have shown that such variations are distinguishable from noise (Delignières 117 & Torre, 2009; Dingwell & Cusumano, 2000; Dingwell & Kang, 2007; Stergiou, Buzzi, Kurz, & 118 Heidel, 2004).”
Assessing the stability of human locomotion: a review of current measures (2013, background): “Since then, the maximum Lyapunov exponent has gained in popularity [2,31–80].”