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

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine
Jinghui Li, Li Ke, Qiang Du et al. IEEE Access, 2019. Cites: paper

Research on Parallel Compressive Sensing and Application of Multi-Channel Synchronous Acquisition of Heart Sound Signals
Xiefeng Cheng, Shan Feng, Yunyi Li et al. IEEE Access, 2019. Cites: paper

Wavelet filtering of fetal phonocardiography: A comparative analysis
Selene Tomassini, Annachiara Strazza, Agnese Sbrollini et al. Mathematical Biosciences & Engineering, 2019. Cites: paper

การพฒนาแอปพลเคชนจำแนกความสกผลทเรยนจากเสยงเคาะโดยใชโครงขายประสาทคอนโวลชน
เวียงชัย คาระมาตย์. 2019. Cites: paper

Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
Jussi Taipalmaa, Morteza Zabihi, Serkan Kiranyaz B et al. Computing in cardiology, 2018. Cites: paper

Pay More Attention with Fewer Parameters: A Novel 1-D Convolutional Neural Network for Heart Sounds Classification
Yunqiu Xu, Bin Xiao, Xiuli Bi et al. Computing in cardiology, 2018. Cites: paper

Algorithms for Automatic Analysis and Classification of Heart Sounds–A Systematic Review
Amit Krishna Dwivedi, Syed Anas Imtiaz, Esther Rodriguez–Villegas. IEEE Access, 2018. Cites: paper

A benchmark of heart sound classification systems based on sparse decompositions
Roilhi F. Ibarra-Hernández, Nancy Bertin B, Miguel Alonso et al. International Symposium on Medical Information Processing and Analysis (SIPAIM), 2018. Cites: paper

Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial
William Reid Thompson, Andreas J. Reinisch, Michael J. Unterberger et al. Pediatric Cardiology, 2018. Cites: paper

Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitris Koutsouris. IEEE Reviews in Biomedical Engineering, 2018. Cites: paper

Digital stethoscopes in paediatric medicine
Ashwin Ramanathan, Lindsay Zhou, Faezeh Marzbanrad et al. Acta Paediatrica, 2018. Cites: paper

Screening of Heart Sounds Using Hidden Markov and Gammatone Filterbank Models
Ben Alexander, Gabriel Nallathambi, Nandakumar Selvaraj. International Conference on Machine Learning and Applications, 2018. Cites: paper

Class Augmented Semi-Supervised Learning for Practical Clinical Analytics on Physiological Signals
Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri et al. arXiv (Cornell University), 2018. Cites: paper

Multi-centroid diastolic duration distribution based HSMM for heart sound segmentation
Alex Paul Kamson, Laxmi Narayan Sharma, Samarendra Dandapat. Biomedical Signal Processing and Control, 2018. Cites: paper

Simulator of Foetal Phonocardiographic Recordings and Foetal Heart Rate Calculator
Anthony Joseph, Radek Martínek, Radana Vilimkova Kahankova et al. Journal of biomimetics, biomaterials and biomedical engineering, 2018. Cites: paper

IoT-enabled Heart Monitoring Device with Signal De-noising and Segmentation using Discrete Wavelet Transform
Jia Xin Low, Keng Wah Choo. International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018. Cites: paper

MechanicalHeart
William Callaghan, Joslin Goh, Michael M. Mohareb et al. Proceedings of the ACM on Human-Computer Interaction, 2018. Cites: paper

Supervised threshold-based heart sound classification algorithm
Wei Han, Zuyuan Yang, Jun Lu et al. Physiological Measurement, 2018. Cites: paper

Phonocardiogram classification using deep neural networks and weighted probability comparisons
Miguel Sotaquirá, Demián Alvear, Misael Mondragón. Journal of Medical Engineering & Technology, 2018. Cites: paper

Phonocardiographic Sensing Using Deep Learning for Abnormal Heartbeat Detection
Siddique Latif, Muhammad Usman, Rajib Kumar Rana et al. IEEE Sensors Journal, 2018. Cites: paper

Abnormal Heart Sound Detection Using Ensemble Classifiers
Hasan Zan, Abdulnasır Yildiz. International Artificial Intelligence and Data Processing Symposium (IDAP), 2018. Cites: paper

A New Direct Heart Sound Segmentation Approach using Bi-directional GRU
Tianqi Fan, Jin Zhu, Yongqiang Cheng et al. International Conference on Automation and Computing (ICAC), 2018. Cites: paper

Convolutional Neural Networks for Heart Sound Segmentation
Francesco Renna, Jorge Oliveira, Miguel Tavares Coimbra. European Signal Processing Conference (EUSIPCO), 2018. Cites: paper

An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification
Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan et al. Interspeech (USB), 2018. Cites: paper

An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection
Feifei Liu, Chengyu Liu, Lina Zhao et al. Journal of Medical Imaging and Health Informatics, 2018. Cites: paper

A PHONOCARDIOGRAM-BASED NOISE-ROBUST REAL-TIME HEART RATE MONITORING ALGORITHM FOR OUTPATIENTS DURING NORMAL ACTIVITIES
Kyoung Won Nam, JI MIN AHN, Young Jun Hwang et al. Journal of Mechanics in Medicine and Biology, 2018. Cites: paper

Deep Learning on 1-D Biosignals: a Taxonomy-based Survey
Nagarajan Ganapathy, Ramakrishnan Swaminathan, Thomas Martin Deserno. Yearbook of Medical Informatics, 2018. Cites: paper

PCG Classification Using Multidomain Features and SVM Classifier
Hong Xiang Tang, Ziyin Dai, Yuanlin Jiang et al. BioMed Research International, 2018. Cites: paper

Anomaly Detection in Phonocardiogram Employing Deep Learning
V. G. Sujadevi, K. P. Soman, R. Vinayakumar et al. Advances in intelligent systems and computing, 2018. Cites: paper

A Novel Approach in Auscultation Technology - New Sensors and Algorithms
Dominik Grochala, Marcin Kajor, Dariusz Kucharski et al. International Conference on Human System Interaction (HSI), 2018. Cites: paper

AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier
Arijit Ukil, Ishan Sahu, Chetanya Puri et al. International Joint Conference on Neural Networks (IJCNN), 2018. Cites: paper

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification
Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. Cites: paper

Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. Cites: paper

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection
Barış Bozkurt, Ioannis E. Germanakis, Yannis Stylianou. Computers in Biology and Medicine, 2018. Cites: paper

HEART DISEASES DETECTION FROM NOISY RECORDINGS OF SMARTPHONE DEVICES
Wen‐Hsien Ho, Yenming J. Chen, Yuzhen Zhang et al. Journal of Mechanics in Medicine and Biology, 2018. Cites: paper

Heart Sound Segmentation—An Event Detection Approach Using Deep Recurrent Neural Networks
Elmar Messner, Matthias Zöhrer, Franz Pernkopf. IEEE Transactions on Biomedical Engineering, 2018. Cites: paper

Adaptive Sojourn Time HSMM for Heart Sound Segmentation
Jorge Oliveira, Francesco Renna, Theofrastos Mantadelis et al. IEEE Journal of Biomedical and Health Informatics, 2018. Cites: paper

Noise detection in phonocardiograms by exploring similarities in spectral features
Adriana Leal, Diogo Nunes, Ricardo Couceiro et al. Biomedical Signal Processing and Control, 2018. Cites: paper

Learning Image-based Representations for Heart Sound Classification
Zhao Xu Ren, Nicholas Cummins, Vedhas Pandit et al. International Conference on Digital Health, 2018. Cites: paper

An Improvement To The k-Nearest Neighbor Classifier For ECG Database
Haryati Binti Jaafar, Nur Hidayah Ramli, Aimi Salihah Abdul Nasir. IOP Conference Series Materials Science and Engineering, 2018. Cites: paper

Abnormal Heartbeat Detection Using Recurrent Neural Networks
Siddique Latif, Muhammad Usman, Junaid Qadir et al. arXiv (Cornell University), 2018. Cites: paper

A Novel Cardiac Auscultation Monitoring System Based on Wireless Sensing for Healthcare
Haoran Ren, Hailong Jin, Chen Chen et al. IEEE Journal of Translational Engineering in Health and Medicine, 2018. Cites: paper

Automated fundamental heart sound detection using spectral clustering technique
Sangita Das, Saurabh Pal, Madhuchhanda Mitra. IEEE Calcutta Conference (CALCON), 2017. Cites: paper

Hybridizing β-hill climbing with wavelet transform for denoising ECG signals
Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al‐Betar et al. Information Sciences, 2017. Cites: paper

Heart sound segmentation using switching linear dynamical models
Fuad M. Noman, Sh‐Hussain Salleh, Chee‐Ming Ting et al. IEEE Global Conference on Signal and Information Processing, 2017. Cites: paper

Analysis of the use of fiber optic technology for the monitoring heart rate of the pregnant and fetus
Jan Nedoma, Marcel Fajkus, Radek Martínek et al. Optical Materials and Biomaterials in Security and Defence Systems Technology, 2017. Cites: paper

Processing of fetal heart rate through non-invasive adaptive system based on recursive least squares algorithm
Marcel Fajkus, Jan Nedoma, Radek Martínek et al. Optical Materials and Biomaterials in Security and Defence Systems Technology, 2017. Cites: paper

A classification method using deep belief network for phonocardiogram signal classification
Moh. Faturrahman, Ito Wasito, Fakhirah Dianah Ghaisani et al. International Conference on Advanced Computer Science and Information Systems, 2017. Cites: paper

Classification of heart sound signals with BP neural network and logistic regression
Lina Li, Xinpei Wang, Xiaping Du et al. Chinese Automation Congress, 2017. Cites: paper

Adaptive Signal Processing of Fetal PCG Recorded by Interferometric Sensor
Radek Martínek, Radana Vilimkova Kahankova, Jan Nedoma et al. Advances in intelligent systems and computing, 2017. Cites: paper

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