Title :
ECG compression using discrete symmetric wavelet transform
Author :
Djohan, Adrianus ; Nguyen, Truong Q. ; Tompkins, Willis J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
This paper proposes a new ECG signal compression algorithm using a discrete symmetric wavelet transform. This proposed compression scheme may find applications in digital Holter recording, in ECG signal archiving and in ECG data transmission through communication channels. Using the new method, a compression ratio of 8 to 1 can be achieved with PRD=3.9%, in contrast to the AZTEC compression ratio of 6.8 to 1 with PRD=10.0% and the fan algorithm compression ratio of 7;4 to 1 with PRD=8.1%
Keywords :
data compression; electrocardiography; medical signal processing; wavelet transforms; AZTEC compression ratio; ECG signal archiving; communication channels; compression ratio; data transmission; digital Holter recording; discrete symmetric wavelet transform; electrodiagnostics; fan algorithm compression ratio; Discrete transforms; Discrete wavelet transforms; Electrocardiography; Filtering; Low pass filters; Predistortion; Signal sampling;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575053
