Android based self-diagnostic electrocardiogram system for mobile healthcare
© 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...
| Main Authors: | , , , , , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/72420 |
| _version_ | 1848762745451708416 |
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| author | Choo, K. Ling, Huo Chong Lo, Y. Yap, Z. Pua, J. Phan, R. Goh, V. |
| author_facet | Choo, K. Ling, Huo Chong Lo, Y. Yap, Z. Pua, J. Phan, R. Goh, V. |
| author_sort | Choo, K. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T10:52:27Z |
| format | Conference Paper |
| id | curtin-20.500.11937-72420 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:52:27Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-724202018-12-13T09:34:22Z Android based self-diagnostic electrocardiogram system for mobile healthcare Choo, K. Ling, Huo Chong Lo, Y. Yap, Z. Pua, J. Phan, R. Goh, V. © 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. 2015 Conference Paper http://hdl.handle.net/20.500.11937/72420 10.3233/THC-150980 restricted |
| spellingShingle | Choo, K. Ling, Huo Chong Lo, Y. Yap, Z. Pua, J. Phan, R. Goh, V. Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title | Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title_full | Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title_fullStr | Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title_full_unstemmed | Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title_short | Android based self-diagnostic electrocardiogram system for mobile healthcare |
| title_sort | android based self-diagnostic electrocardiogram system for mobile healthcare |
| url | http://hdl.handle.net/20.500.11937/72420 |