Relationships of Linear and Non-linear Measurements of Post-stroke Walking Activity and Their Relationship to Weather.

ABSTRACT: Background: Stroke survivors are more sedentary than the general public. Previous research on stroke activity focuses on linear quantities. Non-linear measures, such as Jensen-Shannon Divergence and Lempel-Ziv Complexity, may help explain when and how stroke survivors move so that interventions to increase activity may be designed more effectively. Objectives: Our objective was to understand what factors affect a stroke survivor's physical activity, including weather, by characterizing activity by step counts, structure, and complexity. Methods: A custom MATLAB code was used to analyze clinical trial (NCT02835313, https://clinicaltrials.gov/ct2/show/NCT02835313) data presented as minute by minute step counts. Six days of data were analyzed for 142 participants to deter

SUBMITTER: Andreasen SC 

PROVIDER: S-EPMC7739597 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature