RR Interval Time Series Modeling: Papers about the Challenge
The following paper describes the PhysioNet/Computers in Cardiology Challenge. Please cite this publication when referencing the Challenge.
The following papers were presented at the Computers in Cardiology Conference.
Characterizing Artefact
in the Normal Human 24-Hour RR Time Series to Aid Identification and Artificial
Replication of Circadian Variations in Human Beat to Beat Heart Rate using a
Simple Threshold
GD Clifford, PE McSharry, L Tarassenko
Classifying Simulated
and Physiological Heart Rate Variability Signals
N Wessel, H Malberg, U Meyerfeldt, A Schirdewan, J Kurths
Multiscale Entropy to
Distinguish Physiologic and Synthetic RR Time Series
M Costa, AL Goldberger, CK Peng
CinC Challenge 2002
Undertaken by Non-Stationary and Fractal Techniques
C Echeverría, MS Woolfson, JA Crowe, BR Hayes-Gill
A Multifractal Inverse
Problem Applied to Heart Rate Data Synthesis
DC Lin, J Thevaril
Simulate Heart Rate
Variability in Different Physiological Conditions
DC Lin
Method for Generating
an Artificial RR Tachogram of a Typical Healthy Human over 24-hours
PE McSharry, G Clifford, L Tarassenko, LA Smith
Simulating Healthy
Humans Heart Rate: a Markovian Model
CC Yang, CH Chang, SS Hseu, HW Yien
Simulation of Cardiac
RR Interval Time Series
EJ Bowers, P Langley, MJ Drinnan, J Allen, FE Smith, A Murray
Heart Rate Variability
Characteristics Required for Simulation of Interval Sequences
FE Smith, EJ Bowers, P Langley, J Allen, A Murray
Dynamic Features of the
Normal Heart Rate Variability
T Smuc, I Maric, G Bosanac, D Gamberger, N Bogunovic, G Krstacic