Visualization-Driven Time-Series Extraction from Wearable Systems Can Facilitate Differentiation of Passive ADL Characteristics among Stroke and Healthy Older Adults

Wearable technologies allow the measurement of unhindered activities of daily living (ADL) among patients who had a stroke in their natural settings. However, methods to extract meaningful information from large multi-day datasets are limited. This study investigated new visualization-driven time-se...

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Detalles Bibliográficos
Autores principales: John, Joby, Soangra, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780832/
https://www.ncbi.nlm.nih.gov/pubmed/35062557
http://dx.doi.org/10.3390/s22020598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780832/
https://www.ncbi.nlm.nih.gov/pubmed/35062557
http://dx.doi.org/10.3390/s22020598

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