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
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;
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
DOI :
10.1109/NAECON.1992.220659
