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.
1. Wearable Telemedicine Technology for the Healthcare Industry - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Front Matter - p. Page iv 6. Copyright - p. Page v 7. Contents - p. Page vi 8. Contributors - p. Page vii 9. Authors bios - p. Page viii 10. Preface - p. Page ix 11. List of Illustrations - p. Page x 12. List of Tables - p. Page xi 13. Chapter 1 : Human body interaction driven wearable technology for vital signal sensing - p. Page xi 14. Chapter 2 : HealthWare telemedicine technology (HWTT) evolution map for healthcare - p. Page xi 15. Chapter 3 : Blockchain: A novel paradigm for secured data transmission in telemedicine - p. Page xi 16. Chapter 4 : Wearable technology and artificial intelligence in psychiatric disorders - p. Page xi 17. Chapter 5 : Controlling vital signs of patients in emergencies by wearable smart sensors - p. Page xi 18. Chapter 6 : A novel compressive sensing with deep learning–based disease diagnosis model for smart wearable healthcare devices - p. Page xi 19. Chapter 7 : Blockchain-based secure data sharing scheme using image steganography and encryption techniques for telemedicine applications - p. Page xi 20. Chapter 8 : Intelligent metaheuristic cluster-based wearable devices for healthcare monitoring in telemedicine systems - p. Page xi 21. Chapter 9 : Class imbalance data handling with deep learning–based ubiquitous healthcare monitoring system using wearable devices - p. Page xi 22. Chapter 10 : IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine - p. Page xi 23. Chapter 11 : Internet of things and wearables-enabled Alzheimer detection and classification model using stacked sparse autoencoder - p. Page xi 24. Index - p. Page xi
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.
1. Wearable Telemedicine Technology for the Healthcare Industry - p. Page i 2. Cover - p. Page i 3. Front Matter - p. Page ii 4. Table of Contents - p. Page iii 5. Front Matter - p. Page iv 6. Copyright - p. Page v 7. Contents - p. Page vi 8. Contributors - p. Page vii 9. Authors bios - p. Page viii 10. Preface - p. Page ix 11. List of Illustrations - p. Page x 12. List of Tables - p. Page xi 13. Chapter 1 : Human body interaction driven wearable technology for vital signal sensing - p. Page xi 14. Chapter 2 : HealthWare telemedicine technology (HWTT) evolution map for healthcare - p. Page xi 15. Chapter 3 : Blockchain: A novel paradigm for secured data transmission in telemedicine - p. Page xi 16. Chapter 4 : Wearable technology and artificial intelligence in psychiatric disorders - p. Page xi 17. Chapter 5 : Controlling vital signs of patients in emergencies by wearable smart sensors - p. Page xi 18. Chapter 6 : A novel compressive sensing with deep learning–based disease diagnosis model for smart wearable healthcare devices - p. Page xi 19. Chapter 7 : Blockchain-based secure data sharing scheme using image steganography and encryption techniques for telemedicine applications - p. Page xi 20. Chapter 8 : Intelligent metaheuristic cluster-based wearable devices for healthcare monitoring in telemedicine systems - p. Page xi 21. Chapter 9 : Class imbalance data handling with deep learning–based ubiquitous healthcare monitoring system using wearable devices - p. Page xi 22. Chapter 10 : IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine - p. Page xi 23. Chapter 11 : Internet of things and wearables-enabled Alzheimer detection and classification model using stacked sparse autoencoder - p. Page xi 24. Index - p. Page xi
