Virtual Environment for Assessement and Rehabilitation Laboratory

Metrics that quantify functional mobility


Locomotor and posture dysfunction can be caused by a variety of etiologies. Our lab does not focus on a particular clinical population, but strives to understand how functional mobility emerges and how a structural or neurological insult can disrupt functional mobility. These insults can change some components of a gait pattern, while leaving other components intact. Therefore, we use a variety of metrics to quantify the dynamics of a gait pattern to better characterize the impact of a structural or neurological insult on functional mobility. These metrics include:

  • Detrended fluctuation analysis (DFA) and multifractal detrended fluctuation analysis (MF-DFA) – measurements of long-range correlations over a variety of time scales
  • Sample entropy (SampEn) and multiscale entropy (MSE) – measurements of complexity
  • Recurrence quantification analysis (RQA) – Provides a measurement of many nonlinear characteristics of the time series, including determinism, entropy, and stability

We have adopted these metrics to understand locomotor dysfunction across a variety of clinical populations. This framework will allow rehabilitation programs to better design exercises suited to the particular needs of each population.

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