Detecting anomalies in smart wearables for hypertension: a deep learning mechanism
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DOI: 10.3389/fpubh.2024.1426168
Abstract: Introduction The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods,… read more here.
Keywords: deep learning; smart wearables; resnet lstm; anomalies smart ... See more keywords