Classification of normal and abnormal respiration patterns using flow volume curve and neural network

2010 5th International Symposium on Health Informatics and Bioinformatics, HIBIT 2010

Volumn , Issue , 2010, Pages 110-113

  Jafari, S ^a   Arabalibeik, H ^a   Agin, K ^b  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Detection; Flow Volume curve; Neural network; Respiratory disease; Spirometry

Indexed keywords

DETECTION; FLOW-VOLUME CURVES; LUNG DISEASE; MULTILAYER PERCEPTRON NEURAL NETWORKS; PULMONARY FUNCTION TEST; RESPIRATORY DISEASE; RESPIRATORY PATTERN; SENSITIVITY AND SPECIFICITY; VOLUME DATA;

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; DECISION SUPPORT SYSTEMS; DECISION THEORY; DIAGNOSIS; PULMONARY DISEASES; RESPIRATORY SYSTEM;

MULTILAYER NEURAL NETWORKS;

EID: 77954471431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIBIT.2010.5478898     Document Type: Conference Paper

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