Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network. Issue 1 (October 2015)

• Record Type: Journal Article
• Authors: Liu, Xiuling; Du, Haiman; Wang, Guanglei; Zhou, Suiping; Zhang, Hong
• Is Part Of: Computer methods and programs in biomedicine. Volume 122:Issue 1(2015)
• Page Start: 47
• Page End: 55
• Publication Date: 2015-10
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.06.010
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title id="sect0005">Highlights</title> <p id="spar0005"> <list id="list0005"> <list-item id="listitem0005"> <label></label> <p id="p0005">Based on the non-uniformity of RR interval, the premature beats can be diagnosed.</p> </list-item> <list-item id="listitem0010"> <label></label> <p id="p0010">The features with Lyapunov exponents of ECG beat are extracted.</p> </list-item> <list-item id="listitem0015"> <label></label> <p id="p0015">LVQ neural network is used to identify PVC beats.</p> </list-item> </list> </p> </sec> </abstract>