Deep Learning Inspired Biomarker Diagnostic Enabled Heart Health Monitoring System for Cardiac Arrest Detection

Around 17.9 million individuals around the world have experienced cardiovascular disorders, with cardiac capture being the foremost predominant type, according to World Health Organization reports. Whereas different screening strategies exist, including MRI, CT scan, echocardiography, electrocardiography, angiography, and genetic testing, our consideration proposes a deep learning-based heart health monitoring system. This framework, fueled by convolutional neural organize and LSTM network, automates the expectation of potential cardiac capture caused by genetic arrhythmias through the investigation of genetic biomarkers and electrocardiogram (ECG).