Newborn seizure detection based on heart rate variability
In this paper, we investigate the use of heart rate variability (HRV) for automatic newborn seizure detection. The proposed method consists of a sequence of processing steps, namely, obtaining HRV from the ECG, extracting a discriminating HRV feature set, selecting an optimal subset from the full fe...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/13007/ http://dx.doi.org/10.1109/TBME.2009.2026908 |
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