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Portable Low-Cost Heart Attack Detection System Using ZigBee Wireless Technology

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Bioinformatics and Biomedical Engineering (IWBBIO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9043))

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Abstract

People suffering from heart diseases are liable to many accidents due to the occurrence of sudden heart attacks. As ECG signal processing can help to detect any heart malfunction as heart attack, in this paper, an integrated system is designed and implemented to help patients with heart disease by sending their ECG signals to the nearest hospital for a rapid intrusion and to alarm their neighbours or relatives. The system is based on collecting the ECG signals through a small portable device that applies signal processing techniques to identify the signal abnormalities. An alarm is then sent to the nearest hospital in the area based on the wireless ZigBee technology. A receiver module, to be established at the nearby healthcare facilities, is designed to receive these alarm signals. An automatic call centre is combined with the receiver unit to initiate a series of automatic calls with the patient’s contacts to help save him. The system has been applied to an ECG simulator programmed to produce abnormal ECG signals at specific time intervals. The system experimental results have shown that a receiver established at distances up to 1.24 km from the transmitter unit could receive correct alarm signals in short time delays. The system could achieve an accuracy of 89% of correct data transfer.

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© 2015 Springer International Publishing Switzerland

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Ahmed, K.S., El-Metwally, S.M. (2015). Portable Low-Cost Heart Attack Detection System Using ZigBee Wireless Technology. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-16483-0_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16482-3

  • Online ISBN: 978-3-319-16483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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