An automated system for grading eeg abnormality in term neonates with hypoxic-ischaemic encephalopathy

Annals of Biomedical Engineering

Volumn 41, Issue 4, 2013, Pages 775-785

  Stevenson, N J ^a   Korotchikova, I ^a   Temko, A ^a   Lightbody, G ^a   Marnane, W P ^a   Boylan, G B ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

Automated EEG grading system; Background; EEG; Hypoxic ischaemic encephalopathy; Index Terms: Electroencephalography; Multi class linear discriminant classifier; Neonate; Newborn; Wigner Ville distribution

Indexed keywords

BACKGROUND; GRADING SYSTEM; HYPOXIC-ISCHAEMIC ENCEPHALOPATHY; INDEX TERMS; LINEAR DISCRIMINANT CLASSIFIER; NEONATE; NEWBORN;

AUTOMATION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; NEURODEGENERATIVE DISEASES; RANDOM PROCESSES; WIGNER-VILLE DISTRIBUTION;

GRADING;

BIOMEDICAL ENGINEERING; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMAN; HYPOXIA-ISCHEMIA, BRAIN; NEWBORN; PHYSIOLOGIC MONITORING; SIGNAL PROCESSING; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TIME FACTOR; ARTICLE; HYPOXIC ISCHEMIC ENCEPHALOPATHY; STATISTICS; TIME;

BIOMEDICAL ENGINEERING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; HYPOXIA-ISCHEMIA, BRAIN; INFANT, NEWBORN; LINEAR MODELS; MONITORING, PHYSIOLOGIC; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 84876500888     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-012-0710-5     Document Type: Article

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