DocumentCode
1507518
Title
Applying incompletely connected feedforward neural network to ambulatory ECG data compression
Author
Zhao, Yong ; Wang, Boxiang ; Zhao, Wei ; Dong, Lida
Author_Institution
Dept. of Electron. Eng., Hangzhou Univ., China
Volume
33
Issue
3
fYear
1997
fDate
1/30/1997 12:00:00 AM
Firstpage
220
Lastpage
221
Abstract
An incompletely connected feedforward neural network with three sections corresponding to the compression of the three parts of ECG, i.e. the P wave part, the QRS complex part and the T wave part, is applied to ECG data compression. Without increasing the computational burden, improved compression results when there is much variation in the ECG waveforms
Keywords
data compression; electrocardiography; feedforward neural nets; medical signal processing; P wave part; QRS complex part; T wave part; ambulatory ECG; data compression; incompletely connected feedforward neural network; waveform variation;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19970151
Filename
575937
Link To Document