@inproceedings{e4ab108725d04458991b02fbdded3dfe,
title = "Characterisation of heart rate changes and their correlation with EEG during neonatal seizures.",
abstract = "The effect of seizures on instantaneous HR (iHR) in 12 neonates is investigated here. HR can be readily extracted from the ECG and can be employed as an additional signal in seizure detection algorithms. The change in instantaneous HR and its correlation with the change in RMS EEG amplitude were examined. Two methods were employed to classify significant iHR changes. Significant correlation (p < 0.05) during seizure was observed in 100\% of patients (83.33\% of seizures). Overall, significant iHR changes (classified by either method) were found in 83\% of patients (50\% of seizures). It was found that a markedly higher iHR was observed in patients whose seizures were not classified as having significant iHR changes.",
keywords = "ECG, EEG, Heart rate, Neonatal, Seizure",
author = "Doyle, \{O. M.\} and Greene, \{B. R.\} and W. Marnane and G. Lightbody and Boylan, \{G. B.\}",
year = "2008",
doi = "10.1109/iembs.2008.4650333",
language = "English",
isbn = "9781424418152",
series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",
publisher = "IEEE Computer Society",
pages = "4984--4987",
booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",
address = "United States",
note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",
}