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Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
Freezing of gait (FOG) is one of the most troublesome symptoms of Parkinson’s disease, affecting more than 50% of patients in advanced stages of the disease. Wearable technology has been widely used for its automatic detection, and some papers have been recently published in the direction of its pre...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7830634/ https://ncbi.nlm.nih.gov/pubmed/33477323 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21020614 |
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