In this article, a new ECG data compression technique is proposed. The
method relies on modelling quasi-periodic ECG signals as a dynamic Fo
urier series. Fourier coefficients are continuously etimated using the
adaptive least-mean-sp uare algorithm. Results from simulated normal
and pathological ECGs are presented and discussed. A comparison with o
ther compression techniques is also discussed.