Compression of ECG as a Signal with Finite Rate of Innovation

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 sinc interpolation.


Published in:
Proceedings of the Twenty-Seventh Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'05), Shanghai, People's Republic of China, 7564–7567
Year:
2005
Publisher:
IEEE
Laboratories:




 Record created 2015-09-18, last modified 2018-10-07

External links:
Download fulltextURL
Download fulltextURL
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)