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

Computer-aided Phonocardiogram Classification using Multidomain Time and Frequency Features
Jehan Dastagir, Faiq Ahmad Khan, Muhammad Salman Khan et al. 2021. Cites: paper

Heart sound recognition technology based on convolutional neural network
Ximing Huai, Satoshi Kitada, Dongeun Choi et al. Informatics for Health and Social Care, 2021. Cites: paper

End-to-end heart sound segmentation using deep convolutional recurrent network
Yao Chen, Yanan Sun, Jiancheng Lv et al. Complex & Intelligent Systems, 2021. Cites: paper

Novel three kernelled binary pattern feature extractor based automated PCG sound classification method
Mehmet Ali Kobat, Şengül Doğan. Applied Acoustics, 2021. Cites: paper

Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods
Manuel A. Soto-Murillo, Jorge I. Galván-Tejada, Carlos Eric Galvan-Tejada et al. Healthcare, 2021. Cites: paper

Heart Diseases Diagnose via Mobile Application
Mesut Güven, Fırat Hardalaç, Kanat Özışık et al. Applied Sciences, 2021. Cites: paper

A Comparative Study of Heart Sound Signal Classification Based on Temporal, Spectral and Geometric Features
Nabilah bt Ibrahim, Norezmi Jamal, Mohd Nurul Al-Hafiz Sha'abani et al. IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2021. Cites: paper

[A heart sound classification method based on joint decision of extreme gradient boosting and deep neural network].
Zichao Wang, Yanrui Jin, Liqun Zhao et al. PubMed, 2021. Cites: paper

Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods
Pengpai Li, Yongmei Hu, Zhi‐Ping Liu. Biomedical Signal Processing and Control, 2021. Cites: paper

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals
Türker Tuncer, Şengül Doğan, Ru‐San Tan et al. Information Sciences, 2021. Cites: paper

A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram
Sergi Gómez-Quintana, Christoph E. Schwarz, Ihor Shelevytsky et al. Healthcare, 2021. Cites: paper

Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification
Tao Li, Yibo Yin, Kainan Ma et al. Information, 2021. Cites: paper

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
Mohanad Alkhodari, Luay Fraiwan. Computer Methods and Programs in Biomedicine, 2021. Cites: paper

Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders
Shengchen Li, Tian, Ke, Wang, Rui. arXiv (Cornell University), 2021. Cites: paper

Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
Yi He, Wuyou Li, Wangqi Zhang et al. Applied Sciences, 2021. Cites: paper

Artificial Intelligence in Pediatrics
Christopher J. Kelly, Alexander P.Y. Brown, James Arnold Taylor. Springer eBooks, 2021. Cites: paper

Automated Heart Sound Signal Segmentation and Identification using Abrupt Changes and Peak Finding Detection
Norezmi Jamal, Nabilah bt Ibrahim, Mohd Nurul Al-Hafiz Sha'abani et al. Procedia Computer Science, 2021. Cites: paper

Automated Signal Quality Assessment for Heart Sound Signal by Novel Features and Evaluation in Open Public Datasets
Hong Xiang Tang, Miao Wang, Yating Hu et al. BioMed Research International, 2021. Cites: paper

Automatic Classification of Heart Sounds Utilizing Hybrid Model of Convolutional Neural Networks
Methaq A. Shyaa, Ayat S. Hasan, Hassan Muayad Ibrahim et al. Communications in computer and information science, 2021. Cites: paper

Automatic Heart Sound Classification Using One Dimension Deep Neural Network
Qingli Hu, Jianqiang Hu, Xiaoyan Yu et al. Lecture notes in computer science, 2021. Cites: paper

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil et al. IEEE Access, 2021. Cites: paper

Classification of Heart Sounds Using MFCC and CNN
Kai Wang, Kang Chen. Lecture notes in computer science, 2021. Cites: paper

Classifier Identification Using Deep Learning and Machine Learning Algorithms for the Detection of Valvular Heart Diseases
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal. Biomedical Engineering Advances, 2021. Cites: paper

Comparative Analysis of the Phonocardiogram Denoising System Based-on Empirical Mode Decomposition (EMD) and Double-Density Discrete Wavelet Transform (DDDWT)
T. Y. Fatmawati, A. Yuliani, Mas Aly Afandi et al. Lecture notes in electrical engineering, 2021. Cites: paper

Deep Learning for Heart Sounds Classification Using Scalograms and Automatic Segmentation of PCG Signals
John Gelpud, Silvia Oviedo Castillo, Mario Jojoa et al. Lecture notes in computer science, 2021. Cites: paper

Key Techniques and Challenges for Processing of Heart Sound Signals
Sheikh Hussain Shaikh Salleh, Fuad M. Noman, Chee‐Ming Ting et al. Communications in computer and information science, 2021. Cites: paper

Narrative review of the role of artificial intelligence to improve aortic valve disease management
Martin Thoenes, Anurag Agarwal, David Grundmann et al. Journal of Thoracic Disease, 2021. Cites: paper

Transfer Learning Model to Indicate Heart Health Status Using Phonocardiogram
Vinay Arora, Karun Verma, Rohan Singh Leekha et al. Computers, materials & continua/Computers, materials & continua (Print), 2021. Cites: paper

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders
Nathan C. Hurley, Erica Sarah Spatz, Harlan M. Krumholz et al. ACM Transactions on Computing for Healthcare, 2020. Cites: paper

Model-Based Estimation of Electrocardiographic QT Interval From Phonocardiographic Heart Sounds in Healthy Subjects
Agnese Sbrollini, Micaela Morettini, Ilaria Marcantoni et al. Computing in cardiology, 2020. Cites: paper

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform
Nidhi Kalidas Sawant, Shivnarayan Patidar, Naimahmed Nesaragi et al. Journal of Applied Biomedicine, 2020. Cites: paper

Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications
Ethan Grooby, Jinyuan He, Julie Kiewsky et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Classification of Phonocardiography Signals Using Imbalanced Machine Learning Techniques
Mustafa Berkant Selek, Sude Pehlivan, Yalçın İşler. Journal of Intelligent Systems with Applications, 2020. Cites: paper

An Energy-Efficient Haar Wavelet Transform Architecture for Respiratory Signal Processing
Morgana Macedo Azevedo da Rosa, Henrique Seidel, Guilherme Paim et al. IEEE Transactions on Circuits & Systems II Express Briefs, 2020. Cites: paper

Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. IEEE Transactions on Biomedical Engineering, 2020. Cites: paper

The Classification of Heart Murmurs: The Identification of Significant Time Domain Features
Wai Kit Cheng, Ismail Mohd Khairuddin, Anwar P. P. Abdul Majeed et al. Mekatronika, 2020. Cites: paper

Detecting Abnormal PCG Signals and Extracting Cardiac Information Employing Deep Learning and the Shannon Energy Envelope
M. Chowdhury, Khem Narayan Poudel, Yating Hu. IEEE Signal Processing in Medicine and Biology Symposium, 2020. Cites: paper

Heart Audio Classification Using Deep Learning
Arooshi Taneja, Yashvi Gulati, Tushar Chugh et al. International Conference on Machine Learning and Applications, 2020. Cites: paper

Research on automatic heart sound segmentation algorithm based on feature fusion envelope
Ai Xiong, Zhengpeng Zhao, Hongbo Yang et al. International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020. Cites: paper

Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network
Paulo Vitor de Campos Souza, Edwin David Lughofer. Sensors, 2020. Cites: paper

[Artificial intelligence technology in cardiac auscultation screening for congenital heart disease: present and future].
Weize Xu, Kai Yu, Jiajun Xu et al. PubMed Central, 2020. Cites: paper

[Heart sound denoising by dynamic noise estimation].
Chundong Xu, Jing Zhou, Dongwen Ying et al. PubMed, 2020. Cites: paper

Heart Sound Segmentation Based on Personalized Gaussian Mixture Model and Convolutional Neural Network
Xu Chun, Jing Zhou, Dongwen Ying et al. 2020. Cites: paper

Classification of Normal and Murmur Hearts Sound using the Fractal Method
International Journal of Advanced Trends in Computer Science and Engineering, 2020. Cites: paper

Temporal Convolutional Network Connected with an Anti-Arrhythmia Hidden Semi-Markov Model for Heart Sound Segmentation
Yibo Yin, Kainan Ma, Ming Liu. Applied Sciences, 2020. Cites: paper

Classification of heart sound short records using bispectrum analysis approach images and deep learning
Ali Mohammad Alqudah, Hiam Alquran, Isam F. Abu-Qasmieh. Network Modeling Analysis in Health Informatics and Bioinformatics, 2020. Cites: paper

Automatic Detection and Classification of Systolic and Diastolic Profiles of PCG Corrupted Due to Limitations of Electronic Stethoscope Recording
K. Ajay Babu, Barathram Ramkumar. IEEE Sensors Journal, 2020. Cites: paper

Simultaneous Phonocardiography and Electrocardiography Using Smartphone in Dogs, Cats and Horses
Vesna Kadunc Kos, Maja Brložnik, Aleksandra Domanjko Petrič et al. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2020. Cites: paper

Robust heart sound segmentation based on spectral change detection and genetic algorithms
Miguel Alonso, Alejandro Cruz-Gutiérrez, Roilhi F. Ibarra-Hernández et al. Biomedical Signal Processing and Control, 2020. Cites: paper

Feature Extraction and Classification of Phonocardiograms using Convolutional Neural Networks
Devjyoti Chakraborty, Snehangshu Bhattacharya, Ayush Thakur et al. IEEE International Conference for Convergence in Engineering (ICCE), 2020. Cites: paper

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