UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
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A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy
Li, Shih Yu1; Lin, Yu Cheng1; Tam, Lap Mou2,3
2021-02-01
Source PublicationMultimedia Tools and Applications
ISSN1380-7501
Volume80Issue:4Pages:6397-6412
Abstract

This paper presents a smart detection technology for personal Electrocardiography (ECG) monitoring based on data integral-transform of chaotic system. First of all, a set of data-feeding system is developed, ECG data is technically converted into multiple-dimensional phase space, i.e., the dynamics of ECG data in time domain has been mapped into chaotic domain. Further, some effective and potential features in different sub-dimensional phase plane of the data, such as Euclidean Feature Values (EFV), Central Point Distribution (CPD), are captured, which indicates key biomarkers for different ECG states. In the final stage, following the key biomarkers, explicit boundary thresholds are defined for classification of different ECG states. Three ECG states given via open database-PhysioNet are validated, including normal sinus rhythm (NSR), congestive heart failure (CHF) and sleep apnea (SA). The experimental results show that the developed smart detection technology is effective and feasible for detecting and monitoring the states of such personal ECG states.

KeywordChaos-based Data Transform Ecg Monitoring Smart Machine
DOI10.1007/s11042-020-09938-8
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000577869200003
Scopus ID2-s2.0-85100250384
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorLi, Shih Yu
Affiliation1.Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, 1, Sec. 3, Zhongxiao E. Rd, 10608, Taiwan
2.Institute for the Development and Quality, Macau, Macao
3.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, Macao
Recommended Citation
GB/T 7714
Li, Shih Yu,Lin, Yu Cheng,Tam, Lap Mou. A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy[J]. Multimedia Tools and Applications,2021,80(4):6397-6412.
APA Li, Shih Yu,Lin, Yu Cheng,&Tam, Lap Mou.(2021).A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy.Multimedia Tools and Applications,80(4),6397-6412.
MLA Li, Shih Yu,et al."A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy".Multimedia Tools and Applications 80.4(2021):6397-6412.
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