Classification tree for risk assessment in patients suffering from congestive heart failure via long-term heart rate variability
This study aims to develop an automatic classifier for risk assessment in patients suffering from congestive heart failure (CHF). The proposed classifier separates lower risk patients from higher risk ones, using standard long-term heart rate variability (HRV) measures. Patients are labeled as lower...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2013
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| Online Access: | https://eprints.nottingham.ac.uk/2822/ |