| Title | : | Efficient Data Handling for Massive Internet of Medical Things |
|---|---|---|
| Author | : | Chinmay Chakraborty, Uttam Ghosh, Vinayakumar Ravi & Yogesh Shelke |
| Release | : | 2021-09-01 |
| Kind | : | ebook |
| Genre | : | Electrical Engineering, Books, Professional & Technical, Engineering, Medical, Computers & Internet, Computers |
| Size | : | 26989168 |
| This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of thestate-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things. Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things;Covers data handling, intelligence and security and related issues to guide the massive data handling techniques for healthcare;Includes examples and case studies for further study for academics, researchers, and professionals. |
