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Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test
Freezing of gait (FOG) is a debilitating motor phenomenon that is common among individuals with advanced Parkinson’s disease. Objective and sensitive measures are needed to better quantify FOG. The present work addresses this need by leveraging wearable devices and machine-learning methods to develo...
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| Udgivet i: | Sensors (Basel) |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7472497/ https://ncbi.nlm.nih.gov/pubmed/32785163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164474 |
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