Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices

Stefan Gradl; Patrick Kugler; Clemens Lohmuller; Bjoern Eskofier

doi:10.1109/EMBC.2012.6346460

Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:2452-5. doi: 10.1109/EMBC.2012.6346460.

Authors

Stefan Gradl¹, Patrick Kugler, Clemens Lohmuller, Bjoern Eskofier

Affiliation

¹ Digital Sports Group, Pattern Recognition Lab, Computer Science Department, Friedrich-Alexander University of Erlangen-Nuremberg, Germany.

PMID: 23366421
DOI: 10.1109/EMBC.2012.6346460

Abstract

We developed an application for Android™-based mobile devices that allows real-time electrocardiogram (ECG) monitoring and automated arrhythmia detection by analyzing ECG parameters. ECG data provided by pre-recorded files or acquired live by accessing a Shimmer™ sensor node via Bluetooth™ can be processed and evaluated. The application is based on the Pan-Tompkins algorithm for QRS-detection and contains further algorithm blocks to detect abnormal heartbeats. The algorithm was validated using the MIT-BIH Arrhythmia and MIT-BIH Supraventricular Arrhythmia databases. More than 99% of all QRS complexes were detected correctly by the algorithm. Overall sensitivity for abnormal beat detection was 89.5% with a specificity of 80.6%. The application is available for download and may be used for real-time ECG-monitoring on mobile devices.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Arrhythmias, Cardiac / diagnosis*
Cell Phone*
Electrocardiography / methods*
Humans
Signal Processing, Computer-Assisted