• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Ren, Ming-Rong (Ren, Ming-Rong.) | Wang, Pu (Wang, Pu.) | Fang, Bin (Fang, Bin.) | Chen, Mei-Lian (Chen, Mei-Lian.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to store and transmit electrocardiogram (ECG), an integer wavelet based on lifting scheme composed of embedded zerotree wavelet (EZW) coding is proposed in this paper. The EZW has achieved notable success in image coding. We modified the algorithm for the one-dimensional case and applied it to compression of ECG data. In order to reduce the complexity of the algorithm, we used the integer wavelet to replace the original wavelet. Experiments on selected records from MIT-BIH arrhythmia database revealed that the proposed code is significantly more efficient in compression, when compared with other methods. The algorithm exhibits the virtue of simplicity, fastness variant bit rate, space saving and relatively low computation complexity, etc. which makes it especially fit for the embedded system with critical memory space and power consumption.

Keyword:

Wavelet transforms Embedded systems Electrocardiography Image coding Data compression

Author Community:

  • [ 1 ] [Ren, Ming-Rong]College of Electronic Information and Control Enginering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Wang, Pu]College of Electronic Information and Control Enginering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Fang, Bin]College of Electronic Information and Control Enginering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Chen, Mei-Lian]College of Electronic Information and Control Enginering, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2008

Issue: 4

Volume: 34

Page: 369-372,390

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

Online/Total:1126/10538173
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.