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Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition
Monitoring gait quality in daily activities through wearable sensors has the potential to improve medical assessment in Parkinson’s Disease (PD). In this study, four gait partitioning methods, two based on thresholds and two based on a machine learning approach, considering the four-phase model, wer...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5876748/ https://ncbi.nlm.nih.gov/pubmed/29558410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18030919 |
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