NDLI: A mobile application for cardiac rhythm study

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez-Fernandez, Rene Mulet-Cartaya, Margarita Lopez-Cardona, Juan Dayron Lopez-Rodriguez, Rolando
Copyright Year	2015
Description	Author affiliation: Central Institute of Digital Research, Havana, Cuba (Gonzalez-Fernandez, Rene; Mulet-Cartaya, Margarita; Lopez-Cardona, Juan Dayron; Lopez-Rodriguez, Rolando)
Abstract	The aim of this paper is the discussion of the main features implemented in an Android application for ECG processing. It was designed to use a mobile phone, connected by Bluetooth to a battery-powered ECG device, as a signal acquisition layer in a Telemedicine platform. The Android application receives the ECG data according to a simple protocol. The Bluetooth pairing process is made by the proposed software following the traditional procedure. ECG data is filtered using a FIR filter. QRS complexes are detected and classified, as premature or not based on the duration of RR intervals. An energy collector, combined with heuristic rules, was implemented to detect QRS complexes. All these information is uploading to a web site using GSM/GPRS network and HTTP protocol. Also, all the data is store in a database implemented in the phone; this feature allows downloading that information into a personal computer to make other studies. The software was programming in Java language using Eclipse SDK and SQLite database engine. The proposed solution has been tested with ten models of Android mobile phones, working without problems. Errors have not been reported in communications. QRS complex detection algorithm was tested with MIT-BIH database and the QRS detection sensitivity was 99,03%.
Starting Page	393
Ending Page	396
File Size	170379
Page Count	4
File Format	PDF
ISBN	9781509006854
ISSN	2325887X
e-ISBN	9781509006847
DOI	10.1109/CIC.2015.7408669
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrocardiography Protocols Microcomputers Computational modeling Receivers Monitoring
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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