A wearable ECG monitoring system for real-time arrhythmia detection

This study develops a wearable medical system for real-time arrhythmia detection, which acquires electrocardiogram (ECG) data through a three-lead ECG sensor. It performs ECG signal processing and immediately alerts the patient's health care provider of an arrhythmia via wireless messaging. In...

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Bibliographic Details
Published in2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS) pp. 787 - 790
Main Authors Clark, Nicholar, Sandor, Edward, Walden, Calvin, In Soo Ahn, Yufeng Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
arrhythmia
Biomedical monitoring
Detection algorithms
DSP
ECG monitoring
Electrocardiography
Hardware
Monitoring
real-time
Real-time systems
Signal processing algorithms
wearable
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Summary:This study develops a wearable medical system for real-time arrhythmia detection, which acquires electrocardiogram (ECG) data through a three-lead ECG sensor. It performs ECG signal processing and immediately alerts the patient's health care provider of an arrhythmia via wireless messaging. In particular, a common form of arrhythmia known as premature ventricular contractions (PVCs) are identified using the Pan-Tompkins and the wavelet-based template-matching algorithms. When three or more consecutive PVCs are detected, the device sends urgent report email to a patient's health care provider. In the experimental study, the design has been successfully validated using benchmark records from the MIT-BIH arrhythmia database. A low-cost Texas Instruments TMS320C5515 and Raspberry Pi 3 Model B are chosen to be the hardware platform. This study suggests a viable, low-complexity solution for real-time heart monitoring and arrhythmia detection.
ISSN:1558-3899
DOI:10.1109/MWSCAS.2018.8624097