Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices.
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Date
2013-01-31
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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