al-Nashash H A
Electronic Engineering Department, Hijjawi Faculty for Applied Engineering, Yarmouk University, Irbid, Jordan.
Med Eng Phys. 1995 Apr;17(3):197-203. doi: 10.1016/1350-4533(95)95710-r.
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 either an FFT algorithm or the adaptive least mean square algorithm. Results from simulated normal and pathological ECGs are presented and discussed. The merits of each of the above two methods are also illustrated. Furthermore, a comparison with other compression techniques is also discussed.
本文提出了一种新的心电图数据压缩技术。该方法基于将准周期心电图信号建模为动态傅里叶级数。使用快速傅里叶变换（FFT）算法或自适应最小均方算法连续估计傅里叶系数。给出并讨论了模拟正常和病理心电图的结果。还阐述了上述两种方法各自的优点。此外，还讨论了与其他压缩技术的比较。
