Publications citing Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016 v1.0.0

Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
Priyadarshiny Dhar, Saibal Dutta, V. Mukherjee. Biomedical Signal Processing and Control, 2020. Cites: paper

A Comparison of Multivariate Time Series Clustering Methods
Iago Vázquez, Jose Ramon Villar, Javier Sedano et al. Advances in intelligent systems and computing, 2020. Cites: paper

Phonocardiography Signals Compression with Deep Convolutional Autoencoder for Telecare Applications
Ying‐Ren Chien, Kai–Chieh Hsu, Hen‐Wai Tsao. Applied Sciences, 2020. Cites: paper

Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network
Ömer Deperlioğlu, Utku Köse, Deepak Kumar Gupta et al. Computer Communications, 2020. Cites: paper

Machine Learning in Wearable Biomedical Systems
Muhammad E. H. Chowdhury, Amith Abdullah Khandakar, Yazan Qiblawey et al. IntechOpen eBooks, 2020. Cites: paper

Coronary Artery Disease Detection from PCG signals using Time Domain based Automutual Information and Spectral Features
Sagar Suresh Kumar, K. Vijayalakshmi. International Conference on Computing, Electronics & Communications Engineering (iCCECE), 2020. Cites: paper

HEALTH OF THINGS MODEL FOR CLASSIFYING HUMAN HEART SOUND SIGNALS USING CO-OCCURRENCE MATRIX AND SPECTROGRAM
Vinay Arora, E. Y. K. Ng, Rohan Singh Leekha et al. Journal of Mechanics in Medicine and Biology, 2020. Cites: paper

Analysis of heart sound anomalies using ensemble learning
Mohammed Baydoun, Lise Safatly, Hassan Ghaziri et al. Biomedical Signal Processing and Control, 2020. Cites: paper

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks
Wei Zeng, Jian Yuan, Chengzhi Yuan et al. Artificial Intelligence Review, 2020. Cites: paper

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration
Xingyao Wang, Chengyu Liu, Yuwen Li et al. IEEE Transactions on Biomedical Engineering, 2020. Cites: paper

Heart sound segmentation via Duration Long–Short Term Memory neural network
Yao Chen, Jiancheng Lv, Yanan Sun et al. Applied Soft Computing, 2020. Cites: paper

Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network
Yongchao Chen, Shoushui Wei, Yatao Zhang. Medical & Biological Engineering & Computing, 2020. Cites: paper

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features
Sumair Aziz, Muhammad Umar Khan, Majed Mohaia Alhaisoni et al. Sensors, 2020. Cites: paper

Abnormal Heart Sound Recognition Based on Instantaneous Frequency and Singular Value Decomposition
Sheng Jun Miao, Lihui Zhong, Jinyu Hou et al. International Conference on Biological Information and Biomedical Engineering (BIBE), 2020. Cites: paper

A new learning and classification framework for the detection of abnormal heart sound signals using hybrid signal processing and neural networks
Wei Zeng, Zixiang Lin, Chengzhi Yuan et al. Chinese Control Conference (CCC), 2020. Cites: paper

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification
Tomoya Koike, Kun Qian, Qiuqiang Kong et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Detection of abnormal phonocardiograms through the Mel-frequency ceptrum and convolutional neural networks
Andrea Duggento, Allegra Conti, Maria Guerrisi et al. Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2020. Cites: paper

Identification of Anomalous Phonocardiograms Based on Universal Probabilistic Modeling
Stavros Ntalampiras. Letters of the IEEE Computer Society, 2020. Cites: paper

Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function
Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo et al. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

An Efficient Computational Approach for Phonocardiogram Signals Analysis and Normal/Abnormal heart sounds diagnosis
El‐Sayed A. El‐Dahshan, Mohammed Wulgo Ali, Ashraf Yahiea. Arab Journal of Nuclear Sciences and Applications, 2020. Cites: paper

AdvFPCG-Delineator: Advanced delineator for fetal phonocardiography
Selene Tomassini, Agnese Sbrollini, Annachiara Strazza et al. Biomedical Signal Processing and Control, 2020. Cites: paper

Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
Muqing Deng, Tingting Meng, Jiuwen Cao et al. Neural Networks, 2020. Cites: paper

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification
Eduardo Almeida Soares, Plamen Parvanov Angelov, Xiaowei Gu. Applied Soft Computing, 2020. Cites: paper

Classification of Heart Sounds Using Convolutional Neural Network
Fan Li, Hong Xiang Tang, Shang Shang et al. Applied Sciences, 2020. Cites: paper

Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments
Balagopal Unnikrishnan, Pranshu Ranjan Singh, Xulei Yang et al. arXiv (Cornell University), 2020. Cites: paper

Classification of Heart Murmur using CNN
Sukanya Sudarsanan, J Aravinth. International Conference on Communication and Electronics Systems (ICCES), 2020. Cites: paper

Heart Sound Segmentation using Bidirectional LSTMs with Attention
Warnakulasuriya, Tharindu, Houman Ghaemmaghami, Simon Denman et al. QUT ePrints (Queensland University of Technology), 2020. Cites: paper

Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Serkan Kiranyaz B, Morteza Zabihi, Ali Bahrami Rad et al. Neurocomputing, 2020. Cites: paper

Phonocardiogram: A robust algorithm for generating synthetic signals and comparison with real life ones
Pascalin Tiam Kapen, Youssoufa Mohamadou, Serge Urbain Kouam Kouam et al. Biomedical Signal Processing and Control, 2020. Cites: paper

Extraction Method of Fetal Phonocardiogram Based on Lifting wavelet analysis
Wang Huimin, Liang Xingyu. Journal of Physics Conference Series, 2020. Cites: paper

Evaluation of left ventricular systolic function using synchronized analysis of heart sounds and the electrocardiogram
Xiuchang Li, Xiao-Hong Liu, Libo Liu et al. Heart Rhythm, 2020. Cites: paper

A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder
Rohan Banerjee, Avik Ghose. IEEE International Conference on Acoustics Speech and Signal Processing, 2020. Cites: paper

A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection
Han Li, Xinpei Wang, Changchun Liu et al. Computers in Biology and Medicine, 2020. Cites: paper

Biometric Identification Method for Heart Sound Based on Multimodal Multiscale Dispersion Entropy
Xiefeng Cheng, Pengfei Wang, Chenjun She. Entropy, 2020. Cites: paper

Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network
Palani Thanaraj Krishnan, Parvathavarthini Balasubramanian, Snekhalatha Umapathy. Physical and Engineering Sciences in Medicine, 2020. Cites: paper

Detection of cardiac sounds components: a pilot study
Norezmi Jamal, Nabilah bt Ibrahim, Mohd Nurul Al-Hafiz Sha'abani et al. Indonesian Journal of Electrical Engineering and Computer Science, 2020. Cites: paper

Synthesis and Classification of Heart Sounds Using Multi-component Oscillatory Model
Samarjeet Das, Samarendra Dandapat. National Conference on Communications, 2020. Cites: paper

Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Md. Istiaq Ansari et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Heart Sounds Analysis and Classification Based on Long-Short Term Memory
Emre Cancioglu, Savaş Şahin, Yalçın İşler. Journal of Intelligent Systems with Applications, 2020. Cites: paper

Detection of Heart Valves Closure Instants in Phonocardiogram Signals
Anas Had, Khalid Sabri, Mohssin Aoutoul. Wireless Personal Communications, 2020. Cites: paper

Gated recurrent unit-based heart sound analysis for heart failure screening
Shan Gao, Yineng Zheng, Xingming Guo. BioMedical Engineering OnLine, 2020. Cites: paper

A Deep Representation Learning Framework for Medical Imaging Data Analysis
Pengcheng Xi. 2020. Cites: paper

A Framework Classification of Heart Sound Signals in PhysioNet Challenge 2016 Using High Order Statistics and Adaptive Neuro-Fuzzy Inference System
Bassam O. Al-Naami, Hossam Fraihat, Nasr Y. Gharaibeh et al. IEEE Access, 2020. Cites: paper

Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time‐Frequency Representation of PCG Recordings
Samit Kumar Ghosh, R. N. Ponnalagu, Rajesh Kumar Tripathy et al. BioMed Research International, 2020. Cites: paper

Fundamental heart sounds analysis using improved complete ensemble EMD with adaptive noise
Miguel Altuve, Luis Fernando Durango Suárez, Jeyson Ardila. Journal of Applied Biomedicine, 2020. Cites: paper

Heart Sound Recognition Technology Based on Deep Learning
Ximing Huai, Panote Siriaraya, Dongeun Choi et al. Lecture notes in computer science, 2020. Cites: paper

Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography
Radek Martínek, Katerina Barnova, René Jaroš et al. IEEE Access, 2020. Cites: paper

Short and noisy electrocardiogram classification based on deep learning
Sinam Ajitkumar Singh, Swanirbhar Majumder. Elsevier eBooks, 2020. Cites: paper

Short PCG classification based on deep learning
Sinam Ajitkumar Singh, Takhellambam Gautam Meitei, Swanirbhar Majumder. Elsevier eBooks, 2020. Cites: paper

Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals
M. Chowdhury, Khem Narayan Poudel, Yating Hu. IEEE Access, 2020. Cites: paper

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