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Neonatal seizures are a neurological emergency and prompt treatment is required. Seizure burden in neonates can be very high, status epilepticus a frequent occurrence, and the majority of seizures do not have any clinical correlate. Detection of neonatal seizures is only possible with continuous electroencephalogram (EEG) monitoring. EEG interpretation(More)
OBJECTIVE Neonatal seizures are the most common central nervous system disorder in newborn infants. A system that could automatically detect the presence of seizures in neonates would be a significant advance facilitating timely medical intervention. METHODS A novel method is proposed for the robust detection of neonatal seizures through the combination(More)
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(More)
PURPOSE OF REVIEW Neonatal seizures continue to present a diagnostic and therapeutic challenge to paediatricians worldwide, and are a worrying sign for both parents and clinicians alike. The present review summarizes recent evidence regarding the diagnosis, aetiology and treatment of neonatal seizures. It is timely because there is new evidence that(More)
OBJECTIVE This study was undertaken to identify the best performing quantitative EEG features for neonatal seizures detection from a test set of 21. METHODS Each feature was evaluated on 1-min, artefact-free segments of seizure and non-seizure neonatal EEG recordings. The potential utility of each feature for neonatal seizure detection was determined(More)
Adaptive probabilistic modeling of the EEG background is proposed for seizure detection in neonates with hypoxic ischemic encephalopathy. The decision is made based on the temporal derivative of the seizure probability with respect to the adaptively modeled level of background activity. The robustness of the system to long duration "seizure-like" artifacts,(More)
Newborn babies with unusual movements thought to represent seizures are usually given a loading dose of phenobarbitone without electroencephalography being performed. Antiepileptic drugs (AEDs) are then continued, with the outcome determined by clinical observation alone. AED treatment, often involving multiple drugs for long periods, is undesirable at a(More)
AIMS To evaluate the effectiveness of phenobarbitone as an anticonvulsant in neonates. METHODS An observational study using video-EEG telemetry. Video-EEG was obtained before treatment was started, for an hour after treatment was given, two hours after treatment was given, and again between 12 and 24 hours after treatment was given. Patients were(More)
Neonatal seizures are the most common neurological emergency in the neonatal period and are associated with a poor long-term outcome. Early detection and treatment may improve prognosis. This paper aims to develop an optimal set of parameters and a comprehensive scheme for patient-independent multi-channel EEG-based neonatal seizure detection. We employed a(More)
In this work, features which are usually employed in automatic speech recognition (ASR) are used for the detection of neonatal seizures in newborn EEG. Three conventional ASR feature sets are compared to the feature set which has been previously developed for this task. The results indicate that the thoroughly-studied spectral envelope based ASR features(More)