NDLI: An effective wavelet strategy for the trend prediction of physiological time series with application to pHealth systems

Content Provider	IEEE Xplore Digital Library
Author	Rocha, T. Paredes, S. de Carvalho, P. Henriques, J.
Copyright Year	2013
Description	Author affiliation: Dept. de Eng. Inf., Univ. de Coimbra, Coimbra, Portugal (de Carvalho, P.; Henriques, J.) \|\| Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal (Rocha, T.; Paredes, S.)
Abstract	This work proposes a wavelet decomposition based scheme to estimate the evolution trend of physiological time series. The scheme does not involve the explicit development of a model and is essentially supported on the hypothesis that future evolution of a biosignal can be estimated from similar historic patterns. The strategy considers an a-trous wavelet decomposition, where the most representative trends are extracted from the historic similar patterns. Then, a set of distance-based measures able to assess the prediction likelihood of each representative trend, is introduced. From these measures and through an optimization process, a subset of these trends is selected and aggregated to derive the required time series evolution trend. The effectiveness of the methodology is validated in the prediction of blood pressure signals collected in two telemonitoring studies: TEN-HMS and MyHeart. Additionally, Friedman and Nemenyi statistics tests are implemented to rank several methods, confirming the value of the proposed strategy.
Starting Page	6788
Ending Page	6791
File Size	2049043
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Market research Time series analysis Wavelet transforms Prediction methods Optimization Estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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