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

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Yes, you can access Wearable Telemedicine Technology for the Healthcare Industry by Deepak Gupta,Ashish Khanna,D. Jude Hemanth,Aditya Khamparia in PDF and/or ePUB format, as well as other popular books in Ciencias biológicas & Biotecnología. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2021

ISBN

9780323858106

Topic

Ciencias biológicas

Subtopic

Biotecnología

Cover Image
Title Page
Copyright
Table of Contents
Contributors
Authors bios
Preface
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