AIMC Topic: Heart Sounds

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Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.

Medical & biological engineering & computing Jul 7, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Diagnosis, Computer-Assisted Humans Signal Processing, Computer-Assisted Neural Networks, Computer Markov Chains Algorithms Cardiovascular Diseases Biomedical Engineering Heart Sounds Phonocardiography Wavelet Analysis Models, Cardiovascular
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Heart sound classification based on improved MFCC features and convolutional recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 23, 2020
Heart sound classification plays a vital role in the early detection of cardiovascular disorders, especially for small primary health care clinics. Despite that much progress has been made for heart sound classification in recent years, most of them ...
Neural Networks, Computer Signal-To-Noise Ratio Heart Sounds Humans
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Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.

Physical and engineering sciences in medicine Feb 11, 2020
Given the patient to doctor ratio of 50,000:1 in low income and middle-income countries, there is a need for automated heart sound classification system that can screen the Phonocardiogram (PCG) records in real-time. This paper proposes deep neural n...
Neural Networks, Computer ROC Curve Models, Theoretical Humans Phonocardiography Area Under Curve Heart Sounds
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Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.

IEEE journal of biomedical and health informatics Jan 31, 2020
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these syste...
Heart Diseases Heart Sounds Sensitivity and Specificity Signal Processing, Computer-Assisted Phonocardiography Humans Algorithms Databases, Factual Neural Networks, Computer
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Heart sound classification using the SNMFNet classifier.

Physiological measurement Oct 30, 2019
OBJECTIVE: Heart sound classification still suffers from the challenges involved in achieving high accuracy in the case of small samples. Dimension reduction attempts to extract low-dimensional features with more discriminability from high-dimensiona...
Heart Sounds Signal Processing, Computer-Assisted Medical Informatics Machine Learning Databases, Factual Humans
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Heart Sound Segmentation Using Bidirectional LSTMs With Attention.

IEEE journal of biomedical and health informatics Oct 25, 2019
OBJECTIVE: This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection o...
Humans Deep Learning Signal Processing, Computer-Assisted Phonocardiography Heart Sounds Animals Neural Networks, Computer Female Male
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An Automatic Approach Using ELM Classifier for HFpEF Identification Based on Heart Sound Characteristics.

Journal of medical systems Jul 15, 2019
Heart failure with preserved ejection fraction (HFpEF) is a complex and heterogeneous clinical syndrome. For the purpose of assisting HFpEF diagnosis, a non-invasive method using extreme learning machine and heart sound (HS) characteristics was provi...
Logistic Models Heart Failure Heart Sounds Markov Chains Stroke Volume Machine Learning Image Processing, Computer-Assisted Humans Algorithms
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Phonocardiogram classification using deep neural networks and weighted probability comparisons.

Journal of medical engineering & technology Feb 18, 2019
Cardiac auscultation is one of the most conventional approaches for the initial assessment of heart disease, however the technique is highly user-dependent and with low repeatability. Several computational approaches based on the analysis of the phon...
Heart Sounds Signal Processing, Computer-Assisted Algorithms Phonocardiography Probability Deep Learning
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Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Algorithms Databases, Factual Humans Neural Networks, Computer Heart Sounds Signal Processing, Computer-Assisted Phonocardiography Markov Chains
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Supervised threshold-based heart sound classification algorithm.

Physiological measurement Nov 30, 2018
OBJECTIVE: Deep classification networks have been one of the predominant methods for classifying heart sound recordings. To satisfy their demand for sample size, the most commonly used method for data augmentation is that which divides each heart sou...
Supervised Machine Learning Heart Sounds Signal Processing, Computer-Assisted
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