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dc.contributor.authorChoo, K.
dc.contributor.authorLing, Huo Chong
dc.contributor.authorLo, Y.
dc.contributor.authorYap, Z.
dc.contributor.authorPua, J.
dc.contributor.authorPhan, R.
dc.contributor.authorGoh, V.
dc.date.accessioned2018-12-13T09:13:19Z
dc.date.available2018-12-13T09:13:19Z
dc.date.created2018-12-12T02:47:03Z
dc.date.issued2015
dc.identifier.citationChoo, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72420
dc.identifier.doi10.3233/THC-150980
dc.description.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.

dc.titleAndroid based self-diagnostic electrocardiogram system for mobile healthcare
dc.typeConference Paper
dcterms.source.volume23
dcterms.source.startPageS435
dcterms.source.endPageS442
dcterms.source.issn0928-7329
dcterms.source.titleTechnology and Health Care
dcterms.source.seriesTechnology and Health Care
curtin.departmentCurtin Malaysia
curtin.accessStatusFulltext not available


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