A study on ECG Data Compression Method Based on BP Neural Network
- VernacularTitle:基于BP神经网络的心电数据压缩研究
- Author:
Quan LIN
;
Wenqiang SONG
;
Chenglin PENG
- Publication Type:Journal Article
- Keywords:
ECG signal;
data compression;
neural network
- From:
Chinese Medical Equipment Journal
2004;0(09):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective Aimed at the problems that the costs of existing ECG data compression methods is high,and they are difficult to apply in engineering practice,a sort BP neural network is set up based on ECG data compression method.Methods Based on BP network theory,two three-layered feedforward neural networks were set up.Then every one heartbeat was divided into three waves,that is,P,QRS and T ones,and the three waves were compressed by two three-layered feedforward neural network individually.In order to improve the replay capability and interference rejection capability of the neural network compress algorithm,incompletely connected structure is employed.Results The method could realize high compress ratio,and improve the replay capability and interference rejection capability of the heartbeat waves.Conclusion Upon with the heartbeat signals,the method can filter and compress waves effectively,and can be used in engineering practice as well.
