| Electrocardiographic Signals and Swarm-Based Support Vector Machine for Hypoglycemia Detection. | |
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MedLine Citation:
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PMID: 22012087 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Cardiac arrhythmia relating to hypoglycemia is suggested as a cause of death in diabetic patients. This article introduces electrocardiographic (ECG) parameters for artificially induced hypoglycemia detection. In addition, a hybrid technique of swarm-based support vector machine (SVM) is introduced for hypoglycemia detection using the ECG parameters as inputs. In this technique, a particle swarm optimization (PSO) is proposed to optimize the SVM to detect hypoglycemia. In an experiment using medical data of patients with Type 1 diabetes, the introduced ECG parameters show significant contributions to the performance of the hypoglycemia detection and the proposed detection technique performs well in terms of sensitivity and specificity. |
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Authors:
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Nuryani Nuryani; Steve S H Ling; H T Nguyen |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-20 |
Journal Detail:
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Title: Annals of biomedical engineering Volume: - ISSN: 1521-6047 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0361512 Medline TA: Ann Biomed Eng Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Faculty of Engineering and Information Technology, University of Technology Sydney, City Campus, 15 Broadway Road, Ultimo, NSW, 2007, Australia, nnuryani@eng.uts.edu.au. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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