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A J2ME mobile application for normal and abnormal ECG rhythm analysis Fang, Q, Wang, X and Lee, S 2010, 'A J2ME mobile application for normal and abnormal ECG rhythm analysis' in Wen-Chen Hu (University of North Dakota, USA); Yanjun Zuo (University of North Dakota, USA) (ed.) Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies, IGI Global Research Collection, Australia, pp. 86-108. Document type: Book Chapter Collection: Book Chapters Title A J2ME mobile application for normal and abnormal ECG rhythm analysis Author(s) Fang, Q Wang, X Lee, S Year 2010 Title of book Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies Publisher IGI Global Research Collection Place of publication Australia Editor(s) Wen-Chen Hu (University of North Dakota, USA); Yanjun Zuo (University of North Dakota, USA) Start page 86 End page 108 Subjects Signal Processing Summary Cardiovascular disease has become the world's number one killer. The prevalence of cardiovascular disease has caused many unnecessary premature deaths and imposed substantial burden to healthcare systems. Many continuous heart monitoring systems have been proposed with the aim to issue early stage warning for a possible forthcoming heart attack by utilising advanced information and communication technologies. Nevertheless, there is still a significant gap between the usability and reliability of those systems and the requirements from medical practitioners. This chapter presents our recent development of a mobile phone based ECG real-time intelligent analysis system. By fully employing the computational power of a mobile phone, the system provides local intelligence for ECG R wave detection, PQRS signature identification and segmentation, and arrhythmia classification. Because those processing can be performed on realtime, an early status warning can be issued promptly to initiate further rescue procedures. As an application of e-commerce in healthcare, a telecaridiology system like this is of great significance to support chronic cardiovascular disease patients. Copyright notice © 2010 IGI Global DOI - identifier 10.4018/978-1-61520-761-9.ch006 ISBN 9781615207619 Related Links Link Description http://dx.doi.org/10.4018/978-1-61520-761-9.ch006 Link to Published Version   Versions Version Filter Type Thu, 15 Jan 2015, 07:50:49 EST Filtered Full Altmetric details: Access Statistics: 241 Abstract Views  -  Detailed Statistics Created: Wed, 14 Jan 2015, 13:53:00 EST by Catalyst Administrator