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    Android based self-diagnostic electrocardiogram system for mobile healthcare

    Access Status
    Fulltext not available
    Authors
    Choo, K.
    Ling, Huo Chong
    Lo, Y.
    Yap, Z.
    Pua, J.
    Phan, R.
    Goh, V.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Choo, K. and Ling, H.C. and Lo, Y. and Yap, Z. and Pua, J. and Phan, R. and Goh, V. 2015. Android based self-diagnostic electrocardiogram system for mobile healthcare, pp. S435-S442.
    Source Title
    Technology and Health Care
    DOI
    10.3233/THC-150980
    ISSN
    0928-7329
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/72420
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 - IOS Press and the authors. All rights reserved. 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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