Feature extraction for snore sound via neural network processing

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

Volumn , Issue , 2007, Pages 5477-5480

  Emoto, T ^a,b   Abeyratne, U R ^c   Akutagawa, M ^d   Nagashino, H ^d   Kinouchi, Y ^a,d  

^a IEEE

^b NATIONAL INSTITUTE OF TECHNOLOGY   (Japan)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS;

CONNECTION-WEIGHT-SPACE (CWS); OBSTRUCTIVE SLEEP APNEA (OSA); SNORE SOUND;

ACOUSTIC EMISSIONS;

ABNORMAL RESPIRATORY SOUND; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUSCULTATION; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SNORING; SOUND DETECTION;

ARTIFICIAL INTELLIGENCE; AUSCULTATION; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RESPIRATORY SOUNDS; SENSITIVITY AND SPECIFICITY; SNORING; SOUND SPECTROGRAPHY;

EID: 57649188047     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353585     Document Type: Conference Paper

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