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 language | English |
|---|---|
| Title of host publication | Handheld Computing for Mobile Commerce |
| Subtitle of host publication | Applications, Concepts and Technologies |
| Publisher | IGI Global |
| Pages | 86-108 |
| Number of pages | 23 |
| ISBN (Print) | 9781615207619 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
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A J2ME mobile application for normal and abnormal ECG rhythm analysis. / Fang, Qiang; Huang, Xiaoyun; Lee, Shuenn Yuh.
Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies. IGI Global, 2010. p. 86-108.Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - A J2ME mobile application for normal and abnormal ECG rhythm analysis
AU - Fang, Qiang
AU - Huang, Xiaoyun
AU - Lee, Shuenn Yuh
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
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U2 - 10.4018/978-1-61520-761-9.ch006
DO - 10.4018/978-1-61520-761-9.ch006
M3 - Chapter
AN - SCOPUS:84901554083
SN - 9781615207619
SP - 86
EP - 108
BT - Handheld Computing for Mobile Commerce
PB - IGI Global
ER -