Title :
Wavelet compression of ECG signals by JPEG2000
Author :
Bilgin, Ali ; Marcellin, Michael W. ; Altbach, Maria I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
This paper describes the wavelet compression of ECG signals by JPEG2000. JPEG2000 is the latest international standard for compression of still images. JPEG2000 codec is designed to compress images and it can also be used to compress other signals. The desirable characteristics of the JPEG2000 codec, such as precise rate control and progressive quality, are retained in the presented ECG compression scheme. To compress the ECG data using a JPEG2000 code, the one-dimensional ECG sequence is processed to produce a two-dimensional matrix. This matrix is then encoded using JPEG2000.
Keywords :
codecs; data compression; electrocardiography; image coding; image sequences; matrix algebra; medical image processing; transform coding; wavelet transforms; ECG data sequence; ECG signal; JPEG2000; JPEG2000 codec; matrix encoding; precise rate control; progressive quality; still image compression; wavelet compression; Biomedical engineering; Chromium; Codecs; Data compression; Electrocardiography; Image coding; Image databases; Radiology; Signal design; Transform coding;
Conference_Titel :
Data Compression Conference, 2004. Proceedings. DCC 2004
Print_ISBN :
0-7695-2082-0
DOI :
10.1109/DCC.2004.1281503