Title :
Compression of ECG as a Signal with Finite Rate of Innovation
Author :
Hao, Yanyan ; Marziliano, Pina ; Vetterli, Martin ; Blu, Thierry
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
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 sinc interpolation
Keywords :
electrocardiography; interpolation; medical signal processing; sampling methods; signal reconstruction; ECG compression; bandlimited linear spline; electrocardiogram; finite innovation rate; nonuniform linear spline; sampling theory; signal reconstruction; sinc interpolation; Biomedical engineering; Electrocardiography; Electrodes; Heart; Humans; Image reconstruction; Interpolation; Sampling methods; Spline; Technological innovation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616262
