Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring

This book addresses advancement in nanomaterials to design and develop non-invasive healthcare sensors including a combination of hybrid nanocomposites to design non-invasive devices for diagnosing human diseases. The cost-effectiveness is addressed with the methodologies to increase the scalability of the fabrication process. It aims to provide a complete end-to-end solution for smart non-invasive diagnosis developed indigenously and is a cost-effective complete guide to implement a deployable healthcare solution in real-time scenarios.

Key Features:

Focuses on the design and development of healthcare sensor devices. Reviews different AI techniques using senors for healthcare. Focuses on the application of nanomaterials in different biosensing applications. Explores non-invasive and painless diagnosis with remote healthcare. Discusses remote healthcare with IoMT integration and smart app communication.

This book is aimed at graduate students and researchers in biomedical engineering, medical devices, machine learning/pattern recognition, and nanotechnology.