Wearable Telemedicine Technology for the Healthcare Industry
Product Design and Development
- 1st Edition - November 16, 2021
- Latest edition
- Editors: Deepak Gupta, Ashish Khanna, D. Jude Hemanth, Aditya Khamparia
- Language: English
Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remot… Read more
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Description
Description
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.
Key features
Key features
- 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
Readership
Readership
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
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 22, 2021
- Language: English
About the editors
About the editors
DG
Deepak Gupta
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 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 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven 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 for biomedical health informatics, educational technologies, and computer vision.
AK
Ashish Khanna
Ashish Khanna is Professor in 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. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.
DH
D. Jude Hemanth
AK