Alex Corason - Abnormal Heart Sounds (OSCE Case)
نویسندگان
چکیده
منابع مشابه
Recognizing Abnormal Heart Sounds Using Deep Learning
The work presented here applies deep learning to the task of automated cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We describe an automated heart sound classification algorithm that combines the use of time-frequency heat map representations with a deep convolutional neural network (CNN). Given the cost-sensitive nature of misclassification, our CNN architecture is tra...
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In this paper, we propose a robust classification method for lung sounds contaminated with heart sounds in order to distinguish between healthy subjects and abnormal patients with pulmonary emphysema. We previously developed a classification procedure based on a maximum-likelihood approach by using hidden Markov models (HMMs). However, contaminated heart sounds caused difficulties in achieving ...
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background: one of the most important heart diseases in dogs is valvular insufficiency, which can be evaluated by diagnosis ways such as phonocardiography, echocardiography, etc. objective: the purpose of the current study was to evaluate of valvular insufficiencies with phonocardiography and echocardiography and using phonocardiography technique in detection of cardiac valvular disease in prac...
متن کاملA Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds
Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective methods for generating an acceptable response. Method: In this applied study, 3240 records rela...
متن کاملA Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds
Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective methods for generating an acceptable response. Method: In this applied study, 3240 records rela...
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ژورنال
عنوان ژورنال: MedEdPORTAL
سال: 2011
ISSN: 2374-8265
DOI: 10.15766/mep_2374-8265.9048