Detecting and Quantifying T-Wave Alternans - The PhysioNet Computing in Cardiology Challenge 2008 1.0.0

File: <base>/final-scores (2,876 bytes)
		PhysioNet/CinC Challenge 2008 Final Scores

Name                                                 Kendall tau
 Organization

Jubair Sieed                                           0.911 *
 Bangladesh University of Engineering and Technology
 Dhaka, Bangladesh

Giovanni Bortolan(1) and Ivaylo Christov(2)            0.890
 (1)ISIB-CNR, Padova, Italy
 (2)Bulgarian Academy of Sciences, Sofia, Bulgaria

Alexander Khaustov                                     0.881 *
 Incart, St. Petersburg, Russia

Dingchang Zheng                                        0.827
 Freeman Hospital, Newcastle, UK

Philip Langley                                         0.779
 Freeman Hospital, Newcastle, UK

Rui Rodrigues                                          0.765 *
 Universidade Nova de Lisboa, Portugal

Vito Starc                                             0.702
 University of Ljubljana, Slovenia

Susan Jin                                              0.693
 University of Maryland, USA

Laura Burattini                                        0.684
 Università Politecnica delle Marche, Italy

Luca Mainardi                                          0.641
 Politecnico di Milano, Italy

Tsu-Wang Shen                                          0.636
 Tzu Chi University, Taiwan

Violeta Monasterio                                     0.633
 University of Zaragoza, Spain

Sam Stevens                                            0.615
 Freeman Hospital, Newcastle, UK

José Luis Rojo Álvarez                                 0.605
 Universidad Rey Juan Carlos, Madrid, Spain

Renata Simoliuniene                                    0.498 *
 Kaunas University of Medicine, Lithuania

Romina Cardo and Alvaro Corvalan                       0.493
 Universidad Nacional de General Sarmiento
 Buenos Aires, Argentina

Olivier Meste, R Alegre, Omar Tala                     0.486
 Université de Nice-Sophia Antipolis, France

Saman Parvaneh                                         0.477
 Islamic Azad University, Tehran, Iran

Grace Nijm                                             0.451
 Northwestern University, USA


These 19 participants were able to distinguish between the synthetic ECGs
with high and low amounts of TWA, and their entries were used to create
the final reference ranking for the Challenge data set, available at
http://physionet.org/challenge/2008/reference-ranks .  Their scores,
as shown above, are calculated as the Kendall rank correlation coefficient
between their rankings of the entire data set and the final reference ranking.
A score above 0.436, achieved by 21 participants, is significant (p > 0.99),
given the final reference ranking used here.

The recipients of the scores marked with asterisks (*) have contributed the
sources for their TWA analysis software for use and further study;  they are
available at http://physionet.org/challenge/2008/sources/ .