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Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach
Wearable sensors can provide detailed information on human movement but the clinical impact of this information remains limited. We propose a machine learning approach, using wearable sensor data, to identify subject-specific changes in gait patterns related to improvements in clinical outcomes. Eig...
שמור ב:
| הוצא לאור ב: | Sensors (Basel) |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6163443/ https://ncbi.nlm.nih.gov/pubmed/30150560 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092828 |
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