Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction

Hassan, Mohammad Mehedi, Huda, Shamsul, Yearwood, John, Jelinek, Herbert F. and Almogren, Ahmad 2018, Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction, Information fusion, vol. 41, pp. 105-118, doi: 10.1016/j.inffus.2017.08.004.

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Title Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction
Author(s) Hassan, Mohammad Mehedi
Huda, ShamsulORCID iD for Huda, Shamsul orcid.org/0000-0001-7848-0508
Yearwood, JohnORCID iD for Yearwood, John orcid.org/0000-0002-7562-6767
Jelinek, Herbert F.
Almogren, Ahmad
Journal name Information fusion
Volume number 41
Start page 105
End page 118
Total pages 14
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-05
ISSN 1566-2535
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Computer Science
Fusion of multiple statistical process control techniques
Multivariate exponentially weighted moving average
Autonomic nerve dysfunction classification
Blind source separation
Fusion of features and decisions
MACHINE LEARNING ALGORITHMS
STOCK-MARKET
NEUROPATHY
MANAGEMENT
Language eng
DOI 10.1016/j.inffus.2017.08.004
Field of Research 0801 Artificial Intelligence And Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109496

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Scopus Citation Count Cited 13 times in Scopus
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Created: Fri, 15 Jun 2018, 15:27:00 EST

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