Compression of ECG as a signal with finite rate of innovation
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Journal Volume
7 VOLS
ISBN
0780387406
Date Issued
2005-12-01
Author(s)
Abstract
Compression of ECG (electrocardiogram) as a signal with finite rate of innovation (FRI) is proposed in this paper. By modelling the ECG signal as the sum of bandlimited and nonuniform linear spline which contains finite rate of innovation (FRI), sampling theory is applied to achieve effective compression and reconstruction of ECG signal. The simulation results show that the performance of the algorithm is quite satisfactory in preserving the diagnostic information as compared to the classical sampling scheme which uses the sine interpolation. © 2005 IEEE.
Type
conference paper