DocumentCode
3186823
Title
Data compression theory and algorithm for a digital Holter monitoring system
Author
Wan Jian Wei ; Shuzhi, Li ; Kan, HuangFu ; Zhou Liang Zhu
Author_Institution
Dept. of Electr. Tech., Nat. Univ. of Defence Technol., Changsha, China
fYear
1992
fDate
18-22 May 1992
Firstpage
113
Abstract
The feasibility of digital Holter recording using neural networks is examined. The networks are used for data compression operations with a ratio of 1:40. Electrocardiographic data are processed by means of an artificial neural network. This necessitates a search for appropriate algorithms under conditions of decreased signal distortion. The authors describe the ideal backpropagation algorithm and procedures for the modification
Keywords
data compression; electrocardiography; interference (signal); medical signal processing; neural nets; algorithms; backpropagation algorithm; data compression; digital Holter monitoring; electrocardiographic data; feasibility; neural networks; signal distortion; Artificial neural networks; Biomedical monitoring; Data compression; Digital integrated circuits; Disk recording; Distortion; Frequency; Neural networks; Pressing; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0652-X
Type
conf
DOI
10.1109/NAECON.1992.220659
Filename
220659
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