TIME INVARIANT MULTI ELECTRODE AVERAGING FOR BIOMEDICAL SIGNALS.
One of the biggest challenges in averaging ECG or EEG signals is to overcome temporal misalignments and distortions, due to uncertain timing or complex non-stationary dynamics. Standard methods average individual leads over a collection of epochs on a time-sample by time-sample basis, even when multi-electrode signals are available. Here we propose a method that averages multi electrode recordings simultaneously by using spatial patterns and without relying on time or frequency.
Comm. and Digital Signal Proc. Center, Dept. of ECE, Northeastern University, Boston, MA, USA.
R Martinez
RM
Orellana
Comm. and Digital Signal Proc. Center, Dept. of ECE, Northeastern University, Boston, MA, USA.
B
B
Erem
Comm. and Digital Signal Proc. Center, Dept. of ECE, Northeastern University, Boston, MA, USA.
D H
DH
Brooks
Biomedical signal processing; Electrocardiography; Electroencephalography; Multidimensional signal processing; Time series analysis