Challenge Papers: Classification of Normal/Abnormal Heart Sound Recordings

The following paper describes the PhysioNet/Computing in Cardiology Challenge. Please cite this publication when referencing the Challenge.

• Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016
  Gari D. Clifford, Chengyu Liu, Benjamin Moody, David Springer, Ikaro Silva, Qiao Li, Roger G. Mark

The following papers were presented at the Computing in Cardiology Conference.

• Morphological Determination of Pathological PCG Signals by Time and Frequency Domain Analysis
  Márton Áron Goda, Péter Hajas

• PCG Classification Using a Neural Network Approach
  Iga Grzegorczyk, Mateusz Soliński, Michał Łepek, Anna Perka, Jacek Rosiński, Joanna Rymko, Katarzyna Stępień, Jan Gierałtowski

• Automatic Heart Sound Recording Classification using a Nested Set of Ensemble Algorithms
  Masun Nabhan Homsi, Natasha Medina, Miguel Hernandez, Natacha Quintero, Gilberto Perpiñan, Andrea Quintana, Philip Warrick

• Abnormal Heart Sounds Detected from Short Duration Unsegmented Phonocardiograms by Wavelet Entropy
  Philip Langley, Alan Murray

• Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network
  Tanachat Nilanon, Jiayu Yao, Junheng Hao, Sanjay Purushotham, Yan Liu

• Heart Sound Classification Based on Temporal Alignment Techniques
  José Javier González Ortiz, Cheng Perng Phoo, Jenna Wiens

• Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds
  Cristhian Potes, Saman Parvaneh, Asif Rahman, Bryan Conroy

• Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients
  Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

• Using Spectral Acoustic Features to Identify Abnormal Heart Sounds
  Nicholas E. Singh-Miller, Natasha Singh-Miller

• Heart Sound Classification Using Deep Structured Features
  Michael Tschannen, Thomas Kramer, Gian Marti, Matthias Heinzmann, Thomas Wiatowski

• A Novel Approach for Classification of Normal/Abnormal Phonocardiogram Recordings using Temporal Signal Analysis and Machine Learning
  Sachin Vernekar, Saurabh Nair, Deepu Vijaysenan, Rohit Ranjan

• Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation
  Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Moncef Gabbouj, Aggelos K. Katsaggelos

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Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.

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