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conference paper
Compression of ECG as a Signal with Finite Rate of Innovation
2005
Proceedings of the Twenty-Seventh Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'05)
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.
Type
conference paper
Authors
Publication date
2005
Publisher
Published in
Proceedings of the Twenty-Seventh Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'05)
Issue
Shanghai, People's Republic of China
Start page
7564
End page
7567
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
September 18, 2015
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