Logistic regression-HSMM-based heart sound segmentation

IEEE Transactions on Biomedical Engineering

Volumn 63, Issue 4, 2016, Pages 822-832

  Springer, David B ^a   Tarassenko, Lionel ^a   Clifford, Gari D ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Heart sound segmentation; Hidden Markov models; Logistic regression; Phonocardiography

Indexed keywords

CARDIOLOGY; HEART; IMAGE SEGMENTATION; MARKOV PROCESSES; PHONOCARDIOGRAPHY; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; TRELLIS CODES; VITERBI ALGORITHM;

EMISSION PROBABILITIES; HEART SOUNDS; HIDDEN SEMI-MARKOV MODELS; LOGISTIC REGRESSIONS; PROBABILISTIC MODELS; SEGMENTATION METHODS; SEGMENTATION PERFORMANCE; STATE-OF-THE-ART METHODS;

HIDDEN MARKOV MODELS;

HEART SOUND; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; PHONOCARDIOGRAPHY; PROBABILITY; STATISTICAL MODEL; STUDENT T TEST; FACTUAL DATABASE; MARKOV CHAIN; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

DATABASES, FACTUAL; HEART SOUNDS; HUMANS; MARKOV CHAINS; PHONOCARDIOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84963593622     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2475278     Document Type: Article

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