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

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4 Author(s)
Gradl, S. ; Comput. Sci. Dept., Friedrich-Alexander Univ. of Erlangen-Nuremberg, Erlangen, Germany ; Kugler, P. ; Lohmuller, C. ; Eskofier, B.

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.

Published in:

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Date of Conference:

Aug. 28 2012-Sept. 1 2012