The papers below were presented at Computers in Cardiology 2010. Please cite this publication when referencing any of these papers. These papers have been made available by their authors under the terms of the Creative Commons Attribution License 3.0 (CCAL). We wish to thank all of the authors for their contributions.
The first of these papers is an introduction to the challenge topic, with a summary of the challenge results and a discussion of their implications.
The PhysioNet/Computing in Cardiology Challenge 2010: Mind the Gap
GB Moody
The remaining papers were presented by participants in the Challenge, who describe their approaches to the challenge problem.
Estimation of Missing Data in Multi-channel Physiological Time-series by Average Substitution with Timing from a Reference Channel
P Langley, S King, K Wang, D Zheng, R Giovannini, M Bojarnejad, A MurrayReconstruction of Missing Physiological Signals Using Artificial Neural Networks
AM Sullivan, H Xia, JC McBride, X ZhaoReconstruction of Missing Cardiovascular Signals using Adaptive Filtering
A HartmannPrincipal Component Analysis Based Method for Reconstruction of Fragments of Corrupted or Lost Signal in Multilead Data Reflecting Electrical Heart Activity and Hemodynamics
R Petrolis, R Simoliuniene, A KrisciukaitisAn Approach to Reconstruct Lost Cardiac Signals Using Pattern Matching and Neural Networks via Related Cardiac Information
TCT Ho, X ChenMedical Multivariate Signal Reconstruction Using Recurrent Neural Network
LEV Silva, JJ Duque, MG Guzo, I Soares, R Tinós, LO Murta JrReconstructing Missing Signals in Multi-Parameter Physiologic Data by Mining the Aligned Contextual Information
Y Li, Y Sun, P Sondhi, L Sha, C ZhaiFilling in the Gap: a General Method Using Neural Networks
R RodriguesA Wavelet Scheme for Reconstruction of Missing Sections in Time Series Signals
TR Rocha, SP Paredes, JH HenriquesReconstruction of Multivariate Signals Using Q-Gaussian Radial Basis Function Network
LEV Silva, JJ Duque, R Tinós, LO Murta Jr