Gradl S, Kugler P, Lohmüller C, Eskofier B (2012)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2012
Pages Range: 2452-2455
Article Number: 6346460
Conference Proceedings Title: Engineering in Medicine and Biology Society, EMBC, 2012
ISBN: 9781424441198
URI: https://www.mad.tf.fau.de/files/2019/05/Gradl_et_al-2012-EMBC-Hearty.pdf
DOI: 10.1109/EMBC.2012.6346460
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. © 2012 IEEE.
APA:
Gradl, S., Kugler, P., Lohmüller, C., & Eskofier, B. (2012). Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices. In IEEE Engineering in Medicine and Biology Society (Eds.), Engineering in Medicine and Biology Society, EMBC, 2012 (pp. 2452-2455). San Diego, CA, US.
MLA:
Gradl, Stefan, et al. "Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices." Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA Ed. IEEE Engineering in Medicine and Biology Society, 2012. 2452-2455.
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