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Summary of all studies within the Research Topic including participants involved, devices used, data collection type, software employed, sensor-based variables, and primary outcome.

Journal: Frontiers in Sports and Active Living

Article Title: Editorial: Wearable Sensors for Remote Health Monitoring and Intelligent Disease Management

doi: 10.3389/fspor.2021.788165

Figure Lengend Snippet: Summary of all studies within the Research Topic including participants involved, devices used, data collection type, software employed, sensor-based variables, and primary outcome.

Article Snippet: Andreasen et al. , 142 stroke survivors [mean (SD) age: 63 (11) years] , Fitbit on the ankle , Field-based measurement for 7 days to test associations with weather , Fitbit; custom algorithms in Matlab to analyze step counts per minute data from Fitbit , Step count, gait non-linear structure and complexity , Stroke survivors with high step counts are active at similar times each day and have higher activity complexities as measured through patterns of movement at different intensity levels. Weather affects our activity parameters in terms of complexity between spring and winter..

Techniques: Software, Biomarker Discovery, Control, Activity Assay, Mass Measurement, Clinical Proteomics, Plasmid Preparation