DeepVitals: Deep neural and IoT based vitals monitoring in smart teleconsultation system

Abstract

With the ubiquitous presence of smart devices, teleconsultation has been an emerging aspect of smart healthcare to stem the increasing dangers of deadly contagious diseases and identify any illness, disease, or medical condition. Heart rate, blood pressure, and oxygen saturation are the most observed vitals for any medical prognosis. However, existing methods to measure them are invasive or contact-based, requiring specialists to operate. The paper introduces a deep neural, non-invasive model to estimate the vitals. The proposed method processes photoplethysmography signals and feeds them to deep neural networks to evaluate the user’s vitals. The model monitors the vitals and can discern anomalous readings. The proposed model’s results further establish itself as a reliable vitals measurement and monitoring device that bolsters the at-home diagnosis feature.