Title :
ECG data compression for Holter system using integer to integer wavelet transforms
Author :
Yan, Xiang-Guo ; Zheng, Chong-xun
Author_Institution :
Biomed. Eng. Inst., Xian Jiaotong Univ., China
fDate :
29 Oct-1 Nov 1998
Abstract :
A fast Holter ECG data compression method based on integer to integer wavelet transform is presented. Due to a shelter function being introduced and careful threshold choices in different scales being adopted, this method can achieve significant data reduction and high signal fidelity simultaneously. It can not only retain the QRS, P, T, ST segment, but also preserve the VLP´s information, and can be used to develop a new generation Holter system
Keywords :
data compression; electrocardiography; medical signal processing; wavelet transforms; ECG data compression; Holter system; P; QRS; ST segment; T; careful threshold choices; electrodiagnostics; high signal fidelity; integer to integer wavelet transforms; shelter function; ventricular late potentials; Biomedical engineering; Cardiac disease; Data compression; Displays; Electrocardiography; Frequency; Interference; Time domain analysis; Very large scale integration; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745873