A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer

One of the most common symptoms observed among most of the Parkinson’s disease patients that affects movement pattern and is also related to the risk of fall, is usually termed as “freezing of gait (FoG)”. To allow systematic assessment of FoG, objective quantification of gait parameters and automat...

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Detalles Bibliográficos
Autores principales: Aich, Satyabrata, Pradhan, Pyari Mohan, Park, Jinse, Sethi, Nitin, Vathsa, Vemula Sai Sri, Kim, Hee-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210779/
https://www.ncbi.nlm.nih.gov/pubmed/30274340
http://dx.doi.org/10.3390/s18103287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210779/
https://www.ncbi.nlm.nih.gov/pubmed/30274340
http://dx.doi.org/10.3390/s18103287

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