Applying neural network classifiers in the diagnosis of the obstructive sleep apnea syndrome from nocturnal pulse oximetric recordings

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5174-5177

  Marcos, J Víctor ^a,b   Hornero, Roberto ^a,b   Álvarez, Daniel ^a,b   Del Campo, Félix ^c   López, Miguel ^a,b  

^a IEEE

^b UNIVERSITY OF VALLADOLID   (Spain)

^c HOSPITAL UNIVERSITARIO RÍO HORTEGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; MEDICAL PROBLEMS; NONLINEAR ANALYSIS; OXYGEN; RADIAL BASIS FUNCTION NETWORKS;

NOCTURNAL PULSE OXIMETRIC RECORDINGS; SLEEP APNEA SYNDROME;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; OXIMETRY; POLYSOMNOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SLEEP DISORDERED BREATHING;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OXIMETRY; PATTERN RECOGNITION, AUTOMATED; POLYSOMNOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SLEEP APNEA, OBSTRUCTIVE;

EID: 57649235179     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353507     Document Type: Conference Paper

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