title: ECG R-R peak detection on mobile phones.
abstract: 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 platform. Performance monitoring and comparison studies were carried out on three different mobile devices to determine their application on a realtime telemonitoring scenario.
authors.affiliation: School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia.
authors.forename: F
authors.initials: F
authors.lastname: Sufi
authors.forename: Q
authors.initials: Q
authors.lastname: Fang
authors.forename: I
authors.initials: I
authors.lastname: Cosic
mesh_terms: D000465:Algorithms; D001315:Australia; D040421:Cell Phone / Q000295:instrumentation*; D034201:Computers, Handheld; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D017216:Telemedicine / Q000295:instrumentation* / Q000379:methods; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods