Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach

Wearable sensors can provide detailed information on human movement but the clinical impact of this information remains limited. We propose a machine learning approach, using wearable sensor data, to identify subject-specific changes in gait patterns related to improvements in clinical outcomes. Eig...

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Detalles Bibliográficos
Autores principales: Kobsar, Dylan, Ferber, Reed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163443/
https://www.ncbi.nlm.nih.gov/pubmed/30150560
http://dx.doi.org/10.3390/s18092828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163443/
https://www.ncbi.nlm.nih.gov/pubmed/30150560
http://dx.doi.org/10.3390/s18092828

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