ANOMALY DETECTION USING FEATURE EXTRACTION IN ECG
N SurekaPutri MadonaIlias RahmatMuhammad BastiMahrus ZainIigo MonederoV PatilV PawarS KulkarniT MehtaN KhareJoon-Myoung KwonM
Abstract
The Research suggests a real-time electrocardiogram (ECG) abnormality detection system leveraging the Raspberry Pi microcontroller and AD8232 ECG sensor.Through meticulous feature analysis, the system accurately identifies irregular patterns indicative of cardiac conditions like arrhythmias and myocardial ischemia.Optimized for the Raspberry Pi platform, it offers cost-effective real-time monitoring and diagnosis, enhancing accessibility to cardiovascular healthcare.With the potential for deployment in diverse clinical settings, this innovative system enables timely intervention, promising significant improvements in patient outcomes.Its affordability, scalability, and effectiveness mark it as a valuable tool for healthcare providers, poised to advance cardiovascular healthcare delivery.
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