ECG R-R Peak Detection on Mobile Phones

• Published in: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2007; pp. 3697 - 3700
• Main Authors: Sufi, F., Fang, Q., Cosic, I.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.01.2007
• Subjects: Algorithms; Australia; Cell Phone - instrumentation; Computers, Handheld; Detection algorithms; Diagnosis, Computer-Assisted - instrumentation; Diagnosis, Computer-Assisted - methods; Electrocardiography; Electrocardiography, Ambulatory - instrumentation; Electrocardiography, Ambulatory - methods; Equipment Design; Equipment Failure Analysis; Humans; Java; Medical services; Mobile computing; Mobile handsets; Monitoring; Navigation; Telecommunication computing; Telemedicine - instrumentation; Telemedicine - methods; Telemetry - instrumentation; Telemetry - methods
• ISBN: 9781424407873; 1424407877
• ISSN: 1094-687X; 1557-170X
• DOI: 10.1109/IEMBS.2007.4353134

Mobile phones have become an integral part of modern life. Due to the ever increasing processing power, mobile phones are rapidly expanding its arena from a sole device of telecommunication to organizer, calculator, gaming device, web browser, music player, audio/video recording device, navigator etc. The processing power of modern mobile phones has been utilized by many innovative purposes. In this paper, we are proposing the utilization of mobile phones for monitoring and analysis of biosignal. The computation performed inside the mobile phone's processor will now be exploited for healthcare delivery. We performed literature review on RR interval detection from ECG and selected few PC based algorithms. Then, three of those existing RR interval detection algorithms were programmed on Java TM platform. Performance monitoring and comparison studies were carried out on three different mobile devices to determine their application on a realtime telemonitoring scenario.