Health monitoring system

Abstract

Electronics have become an essential part of biomedicine. The urge for real-time health monitoring and disease detection at an early stage has created a rapid growth of the market for smart sensors. Biosensors have investigated the prospects of point of care (POC) applications for better management of healthcare, and efforts are being made to make these more efficient. Integrating with micro-electro-mechanical systems (MEMS) and nano-electro-mechanical systems (NEMS) technology has enabled biosensors to be automated and more precise, with higher accuracy data sensing systems. The application of biosensors with POC has increased research related to nanotechnology, advanced functional sensing materials, miniaturized sensing system development, AI, and the internet of things (IoT). Breath analysis is one such form for which biosensors have been used. Diabetes, Parkinson disease, urinary tract infections, lung cancer, kidney disease, pancreas infection, etc., can be detected through breath analysis. This chapter deals with a smart sensor system for diagnosis of diseases, precisely chronologic at an early stage. The sensor system is developing for detecting volatile organic compounds. Sensor arrays are deployed to collect and process electromagnetic or acoustic signals. Health monitoring systems provides a better perception of the patient’s condition, allowing doctors to make the correct diagnosis in real time and enhance curative procedure. IoT integrated with machine learning and artificial intelligence plays a vital role here. © 2021 Elsevier Inc. All rights reserved.