This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand.
Chapters cover the following topics:
- A COVID-19 care system for virus precaution, prevention, and treatment
- The Internet of Things (IoT) in Telemedicine,
- Artificial Intelligence for Remote Patient Monitoring systems
- Machine Learning in Telemedicine
- Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions
- COVID-19 virus contact tracing via mobile apps
- IoT and Cloud convergence in healthcare
- Lung cancer classification and detection using deep learning
- Telemedicine in India
Table of Contents
- Introduction
- Iot Architecture For The Healthcare Domain
- Perception Layer
- Transport Layer
- Processing Layer
- Application Layer
- Business Layer
- Environmental Setup
- Sensors
- Network Connection
- Data Analytics
- Monitoring
- Benef
Author
- G. Madhu
- Sandeep Kautish
- A. Govardhan
- Mathura Prasad Thapliyal
