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20012021
most citedA Stochastic Model of Human Gait Dynamics

171 citations · 206 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2021★ 34 cited

Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease

Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +5

With the advent of continuous health monitoring with wearable devices, users now generate their unique streams of continuous data such as minute-level step counts or heartbeats. Su…

cs.LG2020

Loss-analysis via Attention-scale for Physiologic Time Series

Jiawei Yang, Jeffrey M. Hausdorff

Physiologic signals have properties across multiple spatial and temporal scales, which can be shown by the complexity-analysis of the coarse-grained physiologic signals by scaling…

cond-mat.stat-mech2004★ 1 cited

Decaying of Phase Synchronization - A Physiological Tool

Avi Gozolchiani, Shay Moshel, Jeffrey M. Hausdorff +3

We describe the effects of the asymmetry of cycles and non-stationarity in time series on the phase synchronization method. We develop a modified method that overcomes these effect…

cond-mat.stat-mech2004

Levels of Complexity in Scale-Invariant Neural Signals

Plamen Ch. Ivanov, Jeffrey M. Hausdorff, S. Havlin +5

Many physical and physiological signals exhibit complex scale-invariant features characterized by scaling and long-range power-law correlations, suggesting a possibly common…

cond-mat.stat-mech2001★ 171 cited

A Stochastic Model of Human Gait Dynamics

Yosef Ashkenazy, Jeffrey M. Hausdorff, Plamen Ch. Ivanov +2

We present a stochastic model of gait rhythm dynamics, based on transitions between different ``neural centers'', that reproduces distinctive statistical properties of normal human…