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Android based self-diagnostic electrocardiogram system for mobile healthcare

Issue title: Papers from the 3rd International Conference on Biomedical Engineering and Technology (iCBEB 2014), 25–28 September 2014, Beijing, China

Subtitle:

Guest editors: Edward J. Ciaccio, Edward J. Ciaccio and Edward J. Ciaccio

Article type: Research Article

Authors: Choo, Kan-Yeep | Ling, Huo-Chong* | Lo, Yew-Chiong | Yap, Zuo-Han | Pua, Jun-Sheng | Phan, Raphael C.-W. | Goh, Vik-Tor

Affiliations: Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia

Correspondence: [*] Corresponding author: Huo-Chong Ling, Faculty of Engineering, Multimedia University, Cyberjaya, Selangor 63100, Malaysia. Tel.: +603 83125388; Fax: +603 83183029; E-mail:hcling@mmu.edu.my/linghchong@gmail.com

Keywords: Detrended fluctuation analysis, electrocardiogram, mobile healthcare, self-diagnostic, android smartphone

DOI: 10.3233/THC-150980

Journal: Technology and Health Care, vol. 23, no. s2, pp. S435-S442, 2015

Published: 2015
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Abstract

BACKGROUND: Cardiovascular diseases are the most common cause of death worldwide and are characterized by arrhythmia (i.e. irregular rhythm of heartbeat). Arrhythmia occasionally happens under certain conditions, such as stress. Therefore, it is difficult to be diagnosed using electrocardiogram (ECG) devices available in hospitals for just a few minutes. Constant diagnosis and monitoring of heartbeat is required to reduce death caused by cardiovascular diseases.

OBJECTIVE: Mobile healthcare system has emerged as a potential solution to assist patients in monitoring their own heart condition, especially those who are isolated from the reference hospital. This paper proposes a self-diagnostic electrocardiogram system for mobile healthcare that has the capability to perform a real-time ECG diagnostic.

METHODS: The self-diagnostic capability of a real-time ECG signal is achieved by implementing a detrended fluctuation analysis (DFA) method. The result obtained from DFA is used to display the patient's health condition on a smartphone anytime and anywhere. If the health condition is critical, the system will alert the patient and his medical practitioner for further diagnosis.

RESULTS: Experimental results verified the validity of the developed ECG diagnostic application on a smartphone.

CONCLUSION: The proposed system can potentially reduce death caused by cardiovascular diseases by alerting the patient possibly undergoing a heart attack.

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