The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Sensors, 2022 Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Xinqi Bao +2 more
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Short-segment heart sound classification using an ensemble of deep convolutional neural networks [PDF]
, 2018 This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and
Noman, Fuad +3 more
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A recognition method research based on the heart sound texture map
AIP Advances, 2016 In order to improve the Heart Sound recognition rate and reduce the recognition time, in this paper, we introduces a new method for Heart Sound pattern recognition by using Heart Sound Texture Map.
Huizhong Cheng +3 more
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A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
, 2020 Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon +5 more
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Algorithm for heart rate extraction in a novel wearable acoustic sensor. [PDF]
, 2015 Phonocardiography is a widely used method of listening to the heart sounds and indicating the presence of cardiac abnormalities. Each heart cycle consists of two major sounds - S1 and S2 - that can be used to determine the heart rate.
Aguilar-Pelaez, E +3 more
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Biometric Identification Method for Heart Sound Based on Multimodal Multiscale Dispersion Entropy
Entropy, 2020 In this paper, a new method of biometric characterization of heart sounds based on multimodal multiscale dispersion entropy is proposed. Firstly, the heart sound is periodically segmented, and then each single-cycle heart sound is decomposed into a group
Xiefeng Cheng, Pengfei Wang, Chenjun She
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IEEE Access, 2021 The alarmingly high mortality rate and increasing global prevalence of cardiovascular diseases (CVDs) signify the crucial need for early detection schemes.
Samiul Based Shuvo +4 more
semanticscholar +1 more source
Study on chaotic characteristics of heart sound based on correlation dimension and K entropy
AIP Advances, 2019 Heart sound is a kind of non-stationary and nonlinear signal with typical chaotic characteristics. As everyone knows, exercise and age can influence heart function, will they also influence the chaotic characteristics of heart sound?
Chenjun She, Xiefeng Cheng, Jing Wang
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Archives of Anesthesia and Critical Care, 2021 Background: The precordial stethoscope is a traditional and non-invasive monitoring method during pediatric general anesthesia. In this preliminary cross-sectional study, we aimed to investigate the characteristics of lung and heart sounds via precordial
Hidekazu Ito, Shoji Mizuno, Kenji Iio
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Generalised anxiety disorder doubles risk of cardiovascular events in people with stable coronary heart disease [PDF]
, 2011 Does generalised anxiety disorder (GAD) affect cardiovascular events associated with coronary heart disease (CHD)? Population: 1015 patients with stable coronary heart. Eligible patients had at least one of the following: history of myocardial infarction
Phillips, Anna C.
core +1 more source