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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Aich, Satyabrata, Pradhan, Pyari Mohan, Park, Jinse, Sethi, Nitin, Vathsa, Vemula Sai Sri, Kim, Hee-Cheol
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6210779/
https://ncbi.nlm.nih.gov/pubmed/30274340
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18103287
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