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1st Edition - November 16, 2021
Editors: Deepak Gupta, Ashish Khanna, D. Jude Hemanth, Aditya Khamparia
Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote… Read more
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
Academics (scientists, researchers, MSc. PhD. students) from the fields of Biomedical Engineering, Computer Science, Biology, and Information Technology. The audience also includes researchers and practitioners in Intelligent Systems, Computer Vision, Software Engineers, and Medical Expert Diagnostic systems. Interested professionals in Health Policy, Public Health Management, Data Modeling, and Data Analysis
1. Human Body Interaction Driven Wearable Technology for Vital Signal Sensing
2. HealthWare Telemedicine Technology (HWTT) Evolution Map for Healthcare
3. Blockchain: A Novel Paradigm for Secured Data Conduct in Telemedicine
4. Wearable Technology and Artificial Intelligence in Psychiatric Disorders
5. Applying wearable smart sensors for vital signs controlling of patients in epidemics
6. A Novel Compressive Sensing with Deep Learning based Disease Diagnosis Model for Smart Wearable Healthcare Devices
7. Blockchain based Secure Data Sharing Scheme using Image Steganography and Encryption Techniques for Telemedicine Applications
8. Intelligent Metaheuristic Cluster based Wearable Devices for Healthcare Monitoring in Telemedicine Systems
9. Class Imbalance Data Handling with Deep Learning based Ubiquitous Healthcare Monitoring System using Wearable Devices
10. IoT and Wearables for Detection of COVID-19 Diagnosis using Fusion based Feature Extraction with Multi-Kernel Extreme Learning Machine
11. Internet of Things and Wearables Enabled Alzheimer detection and Classification Model using Stacked Sparse Autoencoder
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