Wearable Telemedicine Technology for the Healthcare Industry

Product Design and Development

Deepak Gupta, Ashish Khanna, D. Jude Hemanth, Aditya Khamparia

• Publisher: Academic Press
• Year: 2021
• Print ISBN:
  9780323858540
• eBook ISBN:
  9780323858106
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software engineers, computer scientists and biomedical engineers to apply intelligent systems, artificial intelligence, machine learning, virtual reality and augmented reality to gather, transmit, analyze and deliver real-time clinical and biological data to clinicians, patients and researchers. Wearable telemedicine technology is currently establishing its place with large-scale impact in many healthcare sectors because information about patient health conditions can be gathered anytime and anywhere outside of traditional clinical settings, hence saving time, money and even lives. - Provides readers with methods and applications for wearable devices for ubiquitous health and activity monitoring, wearable biosensors, wearable app development and management using machine learning techniques, and more - Integrates coverage of a number of key wearable technologies, such as ubiquitous textile systems for movement disorders, remote surgery using telemedicine, intelligent computing algorithms for smart wearable healthcare devices, blockchain, and more - Provides readers with in-depth coverage of wearable product design and development

Table of contents

• Cover
• Front Matter
• Table of Contents
• Front Matter
• Copyright
• Contents
• Contributors
• Authors bios
• Preface
• List of Illustrations
• List of Tables
• Chapter 1 : Human body interaction driven wearable technology for vital signal sensing
• Chapter 2 : HealthWare telemedicine technology (HWTT) evolution map for healthcare
• Chapter 3 : Blockchain: A novel paradigm for secured data transmission in telemedicine
• Chapter 4 : Wearable technology and artificial intelligence in psychiatric disorders
• Chapter 5 : Controlling vital signs of patients in emergencies by wearable smart sensors
• Chapter 6 : A novel compressive sensing with deep learning–based disease diagnosis model for smart wearable healthcare devices
• Chapter 7 : Blockchain-based secure data sharing scheme using image steganography and encryption techniques for telemedicine applications
• Chapter 8 : Intelligent metaheuristic cluster-based wearable devices for healthcare monitoring in telemedicine systems
• Chapter 9 : Class imbalance data handling with deep learning–based ubiquitous healthcare monitoring system using wearable devices
• Chapter 10 : IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine
• Chapter 11 : Internet of things and wearables-enabled Alzheimer detection and classification model using stacked sparse autoencoder
• Index
• A