Newborn EEG Seizure Detection - Hassanpour, Hamid
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Neurological diseases in newborns are usually first revealed by seizures, which are characterised by a synchronous discharge of a large number of neurons. Failure to control seizures may lead to brain damage or even death. Neonatal EEG seizures can have signatures in both low frequency (lower than 10 Hz) and high frequency (higher than 70 Hz) areas. The seizures detection techniques proposed in the literature concentrated on using either low frequency or high frequency signatures but not both simultaneously. These methods tend to miss the seizures that reveal themselves only in one of the two…mehr

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Produktbeschreibung
Neurological diseases in newborns are usually first revealed by seizures, which are characterised by a synchronous discharge of a large number of neurons. Failure to control seizures may lead to brain damage or even death. Neonatal EEG seizures can have signatures in both low frequency (lower than 10 Hz) and high frequency (higher than 70 Hz) areas. The seizures detection techniques proposed in the literature concentrated on using either low frequency or high frequency signatures but not both simultaneously. These methods tend to miss the seizures that reveal themselves only in one of the two frequency areas. The author proposed a detection method that uses seizure features in both low and high frequency areas.
Autorenporträt
Hamid Hassanpour received the M.S. degree in computer engineering from Amirkabir University of Technology, Tehran,Iran, in 1997, and the Ph.D. degree in signal processing from Queensland University of Technology, Australia. He is currently an associate professor at department of Computer Engineering,Shahrood University of Technology, Iran.