Identifying and Quantifying Neurological Disability via Smartphone

Embedded sensors of the smartphones offer opportunities for granular, patient-autonomous measurements of neurological dysfunctions for disease identification, management, and for drug development. We hypothesized that aggregating data from two simple smartphone tests of fine finger movements with di...

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Detalles Bibliográficos
Autores principales: Boukhvalova, Alexandra K., Kowalczyk, Emily, Harris, Thomas, Kosa, Peter, Wichman, Alison, Sandford, Mary A., Memon, Atif, Bielekova, Bibiana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131483/
https://www.ncbi.nlm.nih.gov/pubmed/30233487
http://dx.doi.org/10.3389/fneur.2018.00740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131483/
https://www.ncbi.nlm.nih.gov/pubmed/30233487
http://dx.doi.org/10.3389/fneur.2018.00740

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