Improving the Quality of ECGs Collected Using Mobile Phones: Papers about the Challenge
The following paper describes the PhysioNet/Computing in Cardiology Challenge. Please cite this publication when referencing the Challenge.
Improving the Quality of ECGs Collected Using Mobile Phones: The PhysioNet/Computing in Cardiology Challenge 2011
Ikaro Silva, George B Moody, Leo Celi
The following papers were presented at the Computing in Cardiology Conference.
Update: Inspired by this Challenge, the journal Physiological Measurement has devoted a focus issue [2012 Sept;33(9)] to the subject of signal quality in cardiorespiratory monitoring, with eleven articles on this topic, including nine written by Challenge participants.
CinC Challenge - Assessing the Usability of ECG by Ensemble Decision Trees
Sebastian Zaunseder, Robert Huhle, Hagen Malberg
An Algorithm for Assessment of Quality of ECGs Acquired via Mobile Telephones
Philip Langley, Luigi Y Di Marco, Susan King, David Duncan, Costanzo Di Maria, Wenfeng Duan, Marjan Bojarnejad, Dingchang Zheng, John Allen, Alan Murray
Signal Quality Indices and Data Fusion for Determining Acceptability of Electrocardiograms Collected in Noisy Ambulatory Environments
GD Clifford, D Lopez, Q Li, I Rezek
Assessment of Signal Quality and Electrode Placement in ECGs using a Reconstruction Matrix
Arie C Maan, Erik W van Zwet, Sumche Man, Suzanne MM Oliveira-Martens, Martin J Schalij, Cees A Swenne
ECG Quality Assessment for Patient Empowerment in mHealth Applications
Dieter Hayn, Bernhard Jammerbund, Günter Schreier
Real-time Signal Quality Assessment for ECGs Collected using Mobile Phones
Chengyu Liu, Peng Li, Lina Zhao, Feifei Liu, Ruxiang Wang
Rule-Based Methods for ECG Quality Control
Benjamin E Moody
Electrocardiogram Quality Classification based on Robust Best Subsets Linear Prediction Error
Kai Noponen, Mari Karsikas, Suvi Tiinanen, Jukka Kortelainen, Heikki Huikuri, Tapio Seppänen
Computer Algorithms for Evaluating the Quality of ECGs in Real Time
Henian Xia, Gabriel A Garcia, Joseph C McBride, Adam Sullivan, Thibaut De Bock, Jujhar Bains, Dale C Wortham, Xiaopeng Zhao
Recognition of Diagnostically Useful ECG Recordings: Alert for Corrupted or Interchanged Leads
Irena Jekova, Vessela Krasteva, Ivan Dotsinsky, Ivaylo Christov, Roger Abächerli
Assessment of ECG Quality on an Android Platform
Lars Johannesen
Using Machine Learning to Detect Problems in ECG Data Collection
Nir Kalkstein, Yaron Kinar, Michael Na'aman, Nir Neumark, Pini Akiva
Physionet Challenge 2011: Improving the Quality of Electrocardiography Data Collected Using Real Time QRS-Complex and T-Wave Detection
Thomas Ho Chee Tat, Chen Xiang, Lim Eng Thiam
Could Determination of Equivalent Dipoles from 12 Lead ECG Help in Detection of Misplaced Electrodes
Vito Starc
Simple Scoring System for ECG Quality Assessment on Android Platform
Václav Chudáček, Lukás Zach, Jakub Kuzilek, Jirí Spilka, Lenka Lhotská
Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification
Jakub Kuzilek, Michal Huptych, Václav Chudáček, Jirí Spilka, Lenka Lhotská