DocumentCode :
1839876
Title :
Data scaling in remote health monitoring systems
Author :
Peng, Ya-Ti ; Sow, Daby M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
2042
Lastpage :
2045
Abstract :
We formalize the data scaling problem as the ability to scale down computations of stream analysis software components. Data scaling enables systems to trade computational accuracy for resources. We develop an information theoretic technique to classification problems in remote health monitoring and propose two methods for trading computational utility for bandwidth. Experiments on ECG classification reveal the potential of this approach by reporting significant resource savings for small amounts of utility degradation, e.g., 33% of bandwidth saving for only a 1% of accuracy degradation.
Keywords :
electrocardiography; medical signal processing; patient monitoring; signal classification; ECG classification; bandwidth saving; classification problems; computational utility; data scaling problem; information theoretic technique; remote health monitoring systems; stream analysis software components; utility degradation; Bandwidth; Biomedical imaging; Biomedical monitoring; Computer architecture; Costs; Degradation; Electrocardiography; Patient monitoring; Remote monitoring; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
Type :
conf
DOI :
10.1109/ISCAS.2008.4541849
Filename :
4541849
Link To Document :
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