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
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
Table of Contents
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
Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision. With 12 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing. He is an Assistant Professor at Maharaja Agrasen Institute of Technology, Delhi, India. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has served as Editor-in-Chief, Guest Editor, and Associate Editor in SCI and various other reputed journals (Elsevier, Springer, Wiley & MDPI). He is currently a Post-Doc researcher at University of Valladolid, Spain. He has authored/edited a number of books, including Advanced Computational Techniques for Virtual Reality in Healthcare and Handbook of Computer Networks and Cyber Security: Principles and Paradigms from Springer, He has published 101 scientific research publications in reputed International Journals and Conferences including 49 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He has also published one patent. He is Editor-in-Chief of Computers and Quantum Computing and Applications journal, Associate Editor of Expert Systems (Wiley), Intelligent Decision Technologies (IOS Press), Journal of Computational and Theoretical Nenoscience, and Honorary Editor of ICSES Transactions on Image Processing and Pattern Recognition. He is also a series editor of Intelligent Biomedical Data Analysis, De Gruyter (Germany).
Affiliations and Expertise
Assistant Professor, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research and development. He received his PhD from the National Institute of Technology, Kurukshetra, India, and completed a post-doc degree at the National Institute of Telecommunications (Inatel), Brazil. He has published around 40 SCI-indexed papers in 'IEEE Transactions', and in other reputed journals by Springer, Elsevier, and Wiley, with a cumulative impact factor of above 100. He has published around 90 research articles in top SCI/Scopus journals, conferences, and book chapters. He is co-author or editor of numerous books, including 'Advanced Computational Techniques for Virtual Reality in Healthcare' (Springer), 'Intelligent Data Analysis: From Data Gathering to Data Comprehension' (Wiley), and 'Hybrid Computational Intelligence: Challenges and Applications' (Elsevier). His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning. He is one of the founders of Bhavya Publications and the Universal Innovator Lab, which is actively involved in research, innovation, conferences, start-up funding events, and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain.
Affiliations and Expertise
Sr. Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, India
Hemanth D. Jude
Dr. D. Jude Hemanth received his PhD in Medical Image Analysis Using Soft Computing Techniques from Karunya University, India. He currently is an Associate Professor at Karunya University with research interests in Soft Computing, Biomedical Image Processing, and Optimization Techniques. He lectures on Biomedical Instrumentation, Neural Networks, Fuzzy Systems, Soft Computing, Digital Image Processing, and Multimedia Compression Techniques. He has been a prolific author and editor of many books and book chapters, including Nature Inspired Optimization Techniques for Image Processing Applications, Springer; Imaging and Sensing for Unmanned Aerial Vehicles, Institution of Engineering and Technology; Intelligent Data Communication Technologies and Internet of Things, Springer; Artificial Intelligence Techniques for Satellite Image Analysis, Springer, Emerging Trends in Computing and Expert Technology, Springer; Artificial Intelligence Techniques for Medical Image Analysis, VDM Verlag; Intelligent Data Analysis for Biomedical Applications, Academic Press; and Telemedicine Technologies, Academic Press, among others.
Affiliations and Expertise
Associate Professor, Karunya University, Tamil Nadu, India
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 8 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 75 research papers along with book chapters including more than 15 papers in SCI indexed Journals with cumulative impact factor of above 50 to his credit. Additionally, he has authored and edited five books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning, educational technologies, and computer vision.
Affiliations and Expertise
Assistant Professor, Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India