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

被引：0
|
作者：
Gradl, Stefan [1 ]
Kugler, Patrick [1 ]
Lohmueller, Clemens
Eskofier, Bjoern [1 ]
机构：
[1] Univ Erlangen Nurnberg, Dept Comp Sci, Pattern Recognit Lab, Digital Sports Grp, Nurnberg, Germany
来源：
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We developed an application for Android (TM)-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 (TM) sensor node via Bluetooth (TM) 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.
引用
收藏
页码：2452 / 2455
页数：4
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