Detecting Neonatal Seizures With Computer Algorithms.
It is now generally accepted that EEG is the only reliable way to accurately detect newborn seizures and, as such, prolonged EEG monitoring is increasingly being adopted in neonatal intensive care units. Long EEG recordings may last from several hours to a few days. With neurophysiologists not alway...
| Publicado en: | Journal of Clinical Neurophysiology Vol. 33; no. 5; pp. 394 - 403 |
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| Autores principales: | , |
| Formato: | pictorial review tables/charts tracings Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118582106&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118582106 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07360258 8CL jtl: Journal of Clinical Neurophysiology issn: 07360258 maglogo: N pubinfo: dt: Oct2016 vid: 33 iid: 5 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 118582106 118582106 NLM27749459 118582106 10.1097/WNP.0000000000000295 NLM27749459 118582106 ppf: 394 ppct: 9 formats: tig: atl: Detecting Neonatal Seizures With Computer Algorithms. aug: au: Temko, Andriy Lightbody, Gordon affil: INFANT Research Centre, University College Cork, Cork, Ireland sug: subj: Seizures Diagnosis Signal Processing, Computer Assisted Algorithms Electroencephalography Methods Infant Infant, Newborn Infant: 1-23 months Infant, Newborn: birth-1 month ab: It is now generally accepted that EEG is the only reliable way to accurately detect newborn seizures and, as such, prolonged EEG monitoring is increasingly being adopted in neonatal intensive care units. Long EEG recordings may last from several hours to a few days. With neurophysiologists not always available to review the EEG during unsociable hours, there is a pressing need to develop a reliable and robust automatic seizure detection method-a computer algorithm that can take the EEG signal, process it, and output information that supports clinical decision making. In this study, we review existing algorithms based on how the relevant seizure information is exploited. We start with commonly used methods to extract signatures from seizure signals that range from those that mimic the clinical neurophysiologist to those that exploit mathematical models of neonatal EEG generation. Commonly used classification methods are reviewed that are based on a set of rules and thresholds that are either heuristically tuned or automatically derived from the data. These are followed by techniques to use information about spatiotemporal seizure context. The usual errors in system design and validation are discussed. Current clinical decision support tools that have met regulatory requirements and are available to detect neonatal seizures are reviewed with progress and the outstanding challenges are outlined. This review discusses the current state of the art regarding automatic detection of neonatal seizures. pubtype: Academic Journal doctype: pictorial review tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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