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A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series
Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are tightly regulated and coupled under healthy conditions, and a break-down in the coupling has been associated with aging and disease. We present an approach that incorporates physiological modeling withi...
שמור ב:
| הוצא לאור ב: | IEEE J Biomed Health Inform |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2016
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5896770/ https://ncbi.nlm.nih.gov/pubmed/27959829 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2016.2636808 |
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