Bayes classification of snoring subjects with and without Sleep Apnea Hypopnea Syndrome, using a Kernel method

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6071-6074

  Solà Soler, Jordi ^a   Fiz, José A ^b   Morera, José ^c   Jané, Raimon ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

Bayes Classifier; Kernel PDF estimation; Sleep Apnea; Snoring

Indexed keywords

BAYES CLASSIFICATION; BAYES CLASSIFIER; GAUSSIAN PROBABILITY DENSITY FUNCTIONS; GAUSSIANS; GOLD STANDARDS; KERNEL METHODS; MULTI-GROUP; PDF ESTIMATION; POLYSOMNOGRAPHY; SCREENING METHODS; SCREENING PROCEDURES; SINGLE CHANNELS; SLEEP APNEA; SNORING; TIME-CONSUMING PROCEDURE;

DIAGNOSIS; SLEEP RESEARCH;

PROBABILITY DENSITY FUNCTION;

ABNORMAL RESPIRATORY SOUND; ARTICLE; AUSCULTATION; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SLEEP DISORDERED BREATHING; SNORING; SLEEP APNEA SYNDROME;

AUSCULTATION; BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RESPIRATORY SOUNDS; SENSITIVITY AND SPECIFICITY; SLEEP APNEA SYNDROMES; SNORING;

EID: 84862295618     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091500     Document Type: Conference Paper

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