Clinical implementation of a neonatal seizure detection algorithm
نویسندگان
چکیده
منابع مشابه
Clinical implementation of a neonatal seizure detection algorithm
Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present different ways to visualize the output of a neonatal seizure detection system and analyse their influence on performance in a clinical environment. Three different ways to visualize the detector output are considered: a binary output, a probabilisti...
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This chapter highlights the current approaches in automated neonatal seizure detection and in particular focuses on classifier based methods. Automated detection of neonatal seizures has the potential to greatly improve the outcome of patients in the neonatal intensive care unit. The electroencephalogram (EEG) is the only signal on which 100% of electrographic seizures are visible and thus is c...
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Epilepsy affects more than 1% of the world's population. Responsive neurostimulation is emerging as an alternative therapy for the 30% of the epileptic patient population that does not benefit from pharmacological treatment. Efficient seizure detection algorithms will enable closed-loop epilepsy prostheses by stimulating the epileptogenic focus within an early onset window. Critically, this is ...
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the occurrence of neonatal seizures may be the first and perhaps, the only clinical sign of a central nervous system (cns) disorder in the newborn infant. identifying the etiology for the neonatal seizures is/critical to prognosis and treatment. the most common etiology for neonatal seizures is hypoxic-ischemic encephalopathy. seizures may indicate the presence of a potentially treatable etiolo...
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ژورنال
عنوان ژورنال: Decision Support Systems
سال: 2015
ISSN: 0167-9236
DOI: 10.1016/j.dss.2014.12.006