Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals

Chien Sheng Liu; Yu Chiun Lin; Yueh Hsun Chuang; Tzu-Chien Hsiao; Chii Wann Lin

doi:10.1007/978-3-540-89208-3_6

Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals

Chien Sheng Liu^*, Yu Chiun Lin, Yueh Hsun Chuang, Tzu-Chien Hsiao, Chii Wann Lin

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The continuous evolution of electrocardiography (ECG) recording has enabled the successful development of many significant applications of this vital signal for clinical diagnosis and monitoring. Recent trends in device miniaturization and wireless transmission have extended the uses of such a signal modality to telemedicine for home cares. However, it has posted new technical challenges for the scenarios of home users and associated business models. Among them, a smart algorithm for real time or early indication of critical cardiac conditions, e.g. ventricular fibrillation (VF), Ventricular Tachycardia (VT), are extremely important for sharing the work loads of remote side for proper responses and delivery of health care. It would be also rather critical to fit such a computation task into the wearable or mobile device for the requirement of low power consumption. In this paper, we report the development of a novel analysis algorithm based on Time-Delayed Phase Space Reconstruction (PSR) method to differentiate abnormal ECG segments from entire records. We used BIHMIT arrhythmia database and CU database to verify our original ideas. According to our test results, this algorithm successfully identified the three heart diseases of PVC (Premature Ventricular Contraction), VF (Ventricular Fibrillation) and VT (Ventricular Tachycardia) immediately. We calculated the statistic parameters to estimate the efficiency: the average of sensitivity is 98.7% and the specificity reaches 96.2%. We also implemented this algorithm for wearable applications in a single-chip micro controller (MSP430, TI) for arrhythmia ECG data. The total code size is about a few hundred bytes and the execute time meets the order of sub-second. This new algorithm provides a powerful real-time index for clinical diagnosis and long-term home-care applications.

Original language	English
Title of host publication	4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008
Pages	18-21
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-540-89208-3_6
State	Published - 1 Dec 2008
Event	4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008 - Antwerp, Belgium Duration: 23 Nov 2008 → 27 Nov 2008

Publication series

Name	IFMBE Proceedings
Volume	22
ISSN (Print)	1680-0737

Conference

Conference	4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008
Country/Territory	Belgium
City	Antwerp
Period	23/11/08 → 27/11/08

Keywords

Electrocardiography
Implantable
Phase Space Reconstruction
Real-time analysis
Telemedicine

Access to Document

10.1007/978-3-540-89208-3_6

Cite this

Liu, C. S., Lin, Y. C., Chuang, Y. H., Hsiao, T.-C., & Lin, C. W. (2008). Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals. In 4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008 (pp. 18-21). (IFMBE Proceedings; Vol. 22). https://doi.org/10.1007/978-3-540-89208-3_6

@inproceedings{d74343e48cca40b6b3de14407909b763,

title = "Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals",

abstract = "The continuous evolution of electrocardiography (ECG) recording has enabled the successful development of many significant applications of this vital signal for clinical diagnosis and monitoring. Recent trends in device miniaturization and wireless transmission have extended the uses of such a signal modality to telemedicine for home cares. However, it has posted new technical challenges for the scenarios of home users and associated business models. Among them, a smart algorithm for real time or early indication of critical cardiac conditions, e.g. ventricular fibrillation (VF), Ventricular Tachycardia (VT), are extremely important for sharing the work loads of remote side for proper responses and delivery of health care. It would be also rather critical to fit such a computation task into the wearable or mobile device for the requirement of low power consumption. In this paper, we report the development of a novel analysis algorithm based on Time-Delayed Phase Space Reconstruction (PSR) method to differentiate abnormal ECG segments from entire records. We used BIHMIT arrhythmia database and CU database to verify our original ideas. According to our test results, this algorithm successfully identified the three heart diseases of PVC (Premature Ventricular Contraction), VF (Ventricular Fibrillation) and VT (Ventricular Tachycardia) immediately. We calculated the statistic parameters to estimate the efficiency: the average of sensitivity is 98.7% and the specificity reaches 96.2%. We also implemented this algorithm for wearable applications in a single-chip micro controller (MSP430, TI) for arrhythmia ECG data. The total code size is about a few hundred bytes and the execute time meets the order of sub-second. This new algorithm provides a powerful real-time index for clinical diagnosis and long-term home-care applications.",

keywords = "Electrocardiography, Implantable, Phase Space Reconstruction, Real-time analysis, Telemedicine",

author = "Liu, {Chien Sheng} and Lin, {Yu Chiun} and Chuang, {Yueh Hsun} and Tzu-Chien Hsiao and Lin, {Chii Wann}",

year = "2008",

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language = "English",

isbn = "9783540892076",

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booktitle = "4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008",

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Liu, CS, Lin, YC, Chuang, YH, Hsiao, T-C & Lin, CW 2008, Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals. in 4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008. IFMBE Proceedings, vol. 22, pp. 18-21, 4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008, Antwerp, Belgium, 23/11/08. https://doi.org/10.1007/978-3-540-89208-3_6

Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals. / Liu, Chien Sheng; Lin, Yu Chiun; Chuang, Yueh Hsun et al.
4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008. 2008. p. 18-21 (IFMBE Proceedings; Vol. 22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Implantable

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Chaotic phase space differential (CPSD) algorithm for real-time detection of VF, VT, and PVC ecg signals

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Keywords

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