title: ECG data compression using adaptive Fourier coefficients estimation.
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.
authors.affiliation: Hijjawi College of Applied Engineering, Yarmouk University, Irbid, Jordan.
authors.forename: H A
authors.initials: HA
authors.lastname: al-Nashash
mesh_terms: D015716:Electrocardiography, Ambulatory / Q000379:methods*; D005583:Fourier Analysis; D006339:Heart Rate; D006801:Humans; D012815:Signal Processing, Computer-Assisted