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Volumn , Issue , 2006, Pages 2856-2859
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Classifying respiratory sounds with different feature sets
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Author keywords
ANN classifiers; AR parameters; Classification; Crackle parameters; k NN classifiers; Respiratory sounds; Wavelet coefficients
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Indexed keywords
ACOUSTIC WAVES;
BIOLOGICAL ORGANS;
CLASSIFICATION (OF INFORMATION);
NEURAL NETWORKS;
PARAMETER ESTIMATION;
PATHOLOGY;
CRACKLE PARAMETERS;
K-NN CLASSIFIERS;
RESPIRATORY SOUNDS;
WAVELET COEFFICIENTS;
RESPIRATORY SYSTEM;
ABNORMAL RESPIRATORY SOUND;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
AUSCULTATION;
AUTOMATED PATTERN RECOGNITION;
BREATHING DISORDER;
CLASSIFICATION;
COMPUTER ASSISTED DIAGNOSIS;
EVALUATION STUDY;
HUMAN;
METHODOLOGY;
PATHOPHYSIOLOGY;
PHYSIOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
SOUND DETECTION;
ALGORITHMS;
AUSCULTATION;
DIAGNOSIS, COMPUTER-ASSISTED;
HUMANS;
NEURAL NETWORKS (COMPUTER);
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
RESPIRATION DISORDERS;
RESPIRATORY SOUNDS;
SENSITIVITY AND SPECIFICITY;
SOUND SPECTROGRAPHY;
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EID: 34047137313
PISSN: 05891019
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2006.259946 Document Type: Conference Paper |
Times cited : (33)
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References (9)
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