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
fDate :
1/30/1997 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19970151
