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
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