Automatic identification of Chronic Obstructive Pulmonary Disease based on forced oscillation measurements and Artificial Neural Networks

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 1394-1397

  Amaral, Jorge L M ^a   Faria, Alvaro C D ^a   Lopes, Agnaldo J ^b   Jansen, José M ^b   Melo, Pedro L ^a  

^a STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b HOSPITAL UNIVERSITÁRIO PEDRO ERNESTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; AUTOMATIC CLASSIFIERS; AUTOMATIC IDENTIFICATION; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; DATA SETS; FEATURE SELECTION METHODS; FORCED OSCILLATIONS; INPUT FEATURES; LINEAR CORRELATION; TRAINING STRATEGY;

AUTOMATION; CLASSIFIERS; FEATURE EXTRACTION;

NEURAL NETWORKS;

AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; LUNG FUNCTION TEST; MALE; METHODOLOGY; MIDDLE AGED; OSCILLOMETRY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OSCILLOMETRY; PATTERN RECOGNITION, AUTOMATED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REPRODUCIBILITY OF RESULTS; RESPIRATORY FUNCTION TESTS; SENSITIVITY AND SPECIFICITY;

EID: 78650812527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626727     Document Type: Conference Paper

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