Practical Artificial Intelligence for Internet of Medical Things
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- Title: Practical Artificial Intelligence for Internet of Medical Things
- Author: Ben Othman Soufene, Chinmay Chakraborty, Faris A. Almalki
- Publisher: CRC Press
- Publication: 2023
- Edition: – Edition
- Language: English
- Pages: 346
- Ebook: PDF
- File size: 14 MB
- ISBN Number: 9781003315476
- CBID: CBM160
Description:
Features
Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes
Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life
Introduces fundamental concepts for designing the Internet of Healthcare Things solutions
Includes pertinent case studies and applications
This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.
The Internet of Things (IoT) is one of the most prominent technologies that emerged in recent years. The integration of IoT in the healthcare sector is giving rise to a new paradigm called the Internet of Medical Things (IoMT). IoMT enables collection, transmission, and storage of patients’ physiological information. The remote patient monitoring can be performed via wearable sensors. These collected information can be stored, processed, and made available to doctors to give a consultation at any time and from any devices connected to the Internet.
Table of contents :
Cover
Half Title
Series
Title
Copyright
Contents
About the Editor
List of Contributors
Preface
Book Organization
Chapter 1 IoT-Based Telemedicine Network Design: Implementation of a Smart Health Monitoring System in COVID-19
Chapter 2 Detection and Evaluation of Operational Limitations of Internet Infrastructure of Critical Systems Based on the Internet of Medical Things in Smart Homes
Chapter 3 Fitness-Dependent Optimizer for IoT Healthcare Using Adapted Parameters: A Case Study Implementation
Chapter 4 Digital Disruption in the Indian Healthcare System
Chapter 5 Smart Healthcare Monitoring System Using LoRaWAN IoT and Machine Learning Methods
Chapter 6 Light Deep CNN Approach for Multi-Label Pathology Classification Using Frontal Chest X-Ray
Chapter 7 Trends in Malware Detection in IoHT Using Deep Learning: A Review
Chapter 8 IoT-Based Wrist Attitude Sensor Data for Parkinson’s Disease Assessment for Healthcare System
Chapter 9 Robotics and the Internet of Health Things to Improve Healthcare: Especially during the COVID-19 Pandemic
Chapter 10 Artificial Intelligence at the Service of the Detection of COVID-19
Chapter 11 Monitoring ECG Signals Using e-Health Sensors and Filtering Methods for Noises
Chapter 12 Artificial Intelligence–Enabled Wearable ECG for Elderly Patients
Chapter 13 Diagnosing of Disease Using Machine Learning in Internet of Healthcare Things
Chapter 14 Heart Attack Risk Predictor Using Machine Learning and Proposed IoT-Based Smart Watch Drone Healthcare System
Chapter 15 Thermal Face Image Reidentification Based on Variational Autoencoder, Cascade Object Detector Using Lightweight Architectures
Chapter 16 IoT-Based Label Distribution Learning Mechanism for Autism Spectrum Disorder for Healthcare Application
Index
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