Ensembles and waterfall visualization of ECG heart beats

The sample data include ensembles of 12-lead ECGs and 3-lead VCGs. Heartbeat cycle lengths can be kept original or resampled to the same.

%Author: Hui Yang
%Affiliation:
%The Pennsylvania State University
%310 Leohard Building, University Park, PA
%Email: [e-mail]

% If you find this toolbox useful, please cite the following paper:
% [1] H. Yang, S. T. S. Bukkapatnam, and R. Komanduri, “Spatiotemporal
% representation of cardiac Vectorcardiogram (VCG) signals,” Biomedical
% Engineering Online, Vol.11, No. 16, 2012,
% DOI: http://dx.doi.org/10.1186/1475-925X-11-16

% [2] G. Liu and H. Yang, “Multiscale adaptive basis function modeling
% of spatiotemporal cardiac electrical signals,” IEEE Journal of Biomedical
% and Health Informatics, Vol. 17, No. 2, p484-492, 2013,
% DOI: http://dx.doi.org/10.1109/JBHI.2013.2243842

% Data: ecgdata1.mat or ecgdata2.mat
% The sample data include the ensembles of 12-lead ECGs and 3-lead VCGs
% Heartbeat cycle lengths can be kept original or resampled to the same.
% The original heartbeat cycle lengths (i.e., RR intervals) are stored in
% Ensemble001.period