DocumentCode :
333465
Title :
Paced ECG analysis based on neural networks
Author :
Yonghong, Kuo ; Jie, Jin ; Yecho, Huang ; Zhicheng, Luo
Author_Institution :
Xian Med. Univ., Xian, China
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
206
Abstract :
The PQRST segment, which includes the major information in a heart beat, is detected and used as the input pattern to cluster by the ART2 model. The parameters of the pacemaker, which consist of pulse, QRS characteristics, clustering results and programmed parameters, are combined in analyzing paced ECG (PECG) synthetically
Keywords :
electrocardiography; medical signal processing; neural nets; pacemakers; physiological models; ART2 model; PQRST segment; QRS characteristics; clustering results; electrodiagnostics; heart beat; input pattern; paced ECG analysis; programmed parameters; pulse; Databases; Electrocardiography; Heart beat; Interference; Myocardium; Neural networks; Pacemakers; Page description languages; Pattern recognition; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.745874
Filename :
745874
Link To Document :
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