A J2ME mobile application for normal and abnormal ECG rhythm analysis

Qiang Fang, Xiaoyun Huang, Shuenn Yuh Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationHandheld Computing for Mobile Commerce
Subtitle of host publicationApplications, Concepts and Technologies
PublisherIGI Global
Pages86-108
Number of pages23
ISBN (Print)9781615207619
DOIs
Publication statusPublished - 2010 Dec 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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