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Electrocardiogram Based Neonatal Seizure Detection
2007
IEEE Transactions on Biomedical Engineering
A method for the detection of seizures in the newborn using the electrocardiogram (ECG) signal is presented. Using a database of eight recordings, a method was developed for automatically annotating each 1-min epoch as "nonseizure" or "seizure." The system uses a linear discriminant classifier to process 41 heartbeat timing interval features. Performance assessment of the method showed that on a patient-specific basis an average accuracy of 70.5% was achieved in detecting seizures with
doi:10.1109/tbme.2006.890137
pmid:17405374
fatcat:npsdqdvfvjdjxolse4nrds6vwq