al-Nashash H A
Hijjawi College of Applied Engineering, Yarmouk University, Irbid, Jordan.
Med Eng Phys. 1994 Jan;16(1):62-6. doi: 10.1016/1350-4533(94)90012-4.
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.
