Estimation of pulmonary arterial pressure by a neural network analysis using features based on time-frequency representations of the second heart sound

Medical and Biological Engineering and Computing

Volumn 40, Issue 2, 2002, Pages 205-212

  Tranulis, C ^b   Durand, L G ^b   Senhadji, L ^c   Pibarot, P ^a,b  

^a LAVAL UNIVERSITY   (Canada)

^b CLIN RESEARCH INSTITUTE OF MONTREAL   (Canada)

^c UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Animal investigation; Neural network analysis; Pulmonary arterial pressure; Second heart sound; Time frequency analysis; Wavelet decomposition

Indexed keywords

CORRELATION METHODS; ELECTROCARDIOGRAPHY; ERROR ANALYSIS; NEURAL NETWORKS;

HEART SOUNDS;

BIOMEDICAL ENGINEERING;

ANALYTICAL ERROR; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTERY CATHETER; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; DISEASE MODEL; DOPPLER ECHOCARDIOGRAPHY; ELECTROCARDIOGRAPHY; FREQUENCY ANALYSIS; HEART SOUND; LUNG ARTERY PRESSURE; NON INVASIVE MEASUREMENT; NONHUMAN; PHONOCARDIOGRAPHY; PULMONARY HYPERTENSION; SWINE; SYSTOLIC BLOOD PRESSURE; TIME;

EID: 0036258780     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02348126     Document Type: Article

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