Real-Time Signal Analysis for Remote Patient Monitoring

Abstract

When it comes to the development of improvement systems for remote healthcare coverage, signal processing is a crucial component. In this work, we will analyze recent approaches and algorithms that are aimed at recycling real-time physiological signals gathered from cases that have ever been recorded. The goal of this work is to examine these methods and algorithms. This study places a strong emphasis on the integration of these technologies to enable continuous and reliable monitoring of patient health indicators. These indices include the variability of the patient's heart rate, trends in blood pressure, and patterns of respiration. The enhancement of signal processing abilities is one of the ways this inquiry contributes to the production of reliable telemedicine findings. These findings have the potential to successfully support healthcare staff in delivering timely treatments and resolving patient difficulties in settings that are located in remote locations.