
Mobile Computing Solutions for Healthcare Systems
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Mobile Computing Solutions for Healthcare Systems
About this book
This book focuses on recent developments in integrating AI, machine learning methods, medical image processing, advanced network security, and advanced antenna design techniques to implement practical Mobile Health (M-Health) systems. The editors bring together researchers and practitioners who address several developments in the field of M-Health. Chapters highlight intelligent healthcare IoT and Machine Learning based systems for personalized healthcare delivery and remote monitoring applications. The contents also explain medical applications of computing technologies such as Wireless Body Area Networks (WBANs), wearable sensors, multi-factor authentication, and cloud computing. The book is intended as a handy resource for undergraduate and graduate biomedical engineering students and mobile technology researchers who want to know about the recent trends in mobile health technology.
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Information
Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD 1
- PREFACE
- List of Contributors
- An SDN Based WBAN using Congestion Control Routing Algorithm with Energy Efficiency
- COVID-19 - Novel Short Term Prediction Methods
- Intrusion Detection in IoT Based Health Monitoring Systems
- Machine Learning Methods For Intelligent Health Care
- Multi-Factor Authentication Protocol Based on Electrocardiography Signals for a Mobile Cloud Computing Environment
- Recent Trends in Mobile Computing in Health Care, Challenges and Opportunities
- Secure Medical Data Transmission In Mobile Health Care System Using Medical Image Watermarking Techniques
- Smartphone-Based Real-Time Monitoring and Forecasting of Drinking Water Quality using LSTM and GRU in IoT Environment
- IoT-Enabled Crowd Monitoring and Control to Avoid Covid Disease Spread Using Crowdnet and YOLO
- A Game-Based Neurorehabilitation Technology to Augment Motor Activity of Hemiparesis Patients
- Smart Wearable Sensor Design Techniques For Mobile Health Care Solutions