Expert system for the detection of apnoea

Engineering Applications of Artificial Intelligence

Volumn 11, Issue 3, 1998, Pages 425-438

  Macey, P M ^a   Li, J S J ^a   Ford, R P K ^b  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b CHRISTCHURCH HOSPITAL   (New Zealand)

Author keywords

Apnoea; Breathing; Detection; Expert system; Infant; Neural network

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DIAGNOSIS; NEURAL NETWORKS; PATTERN RECOGNITION; SLEEP RESEARCH;

ABDOMINAL BREATHING SIGNAL; APNOEA DETECTION; DIAGNOSING BREATHING PROBLEMS;

EXPERT SYSTEMS;

EID: 0032089770     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0952-1976(98)00007-4     Document Type: Article

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