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ECG data compression using adaptive Fourier coefficients estimation
1Hijjawi College of Applied Engineering, Yarmouk University, Irbid, Jordan.
Medical Engineering & Physics
|January 1, 1994
Abstract:
In this article, a new ECG data compression technique is proposed. The method relies on modelling quasi-periodic ECG signals as a dynamic Fourier series. Fourier coefficients are continuously estimated using the adaptive least-mean-square algorithm. Results from simulated normal and pathological ECGs are presented and discussed. A comparison with other compression techniques is also discussed.