Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics

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. It 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. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies.

Format: Paperback / softback
Length: 388 pages
Publication date: 03 September 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest advancements and diverse research areas in multi-modal data fusion within the realm of healthcare informatics, emphasizing theoretical, methodological, well-established, and validated empirical work on these diverse topics. It serves as a valuable resource for both industry professionals and academic scholars, bringing together the most recent industrial and academic progress, research, and development efforts within the rapidly evolving health informatics ecosystem. Contributions in this book highlight emerging data fusion topics that hold great potential for future healthcare applications. Furthermore, it explores various technologies and considerations related to energy-aware and secure sensors, emphasizing their role in reducing energy consumption in healthcare settings. The book also delves into the life cycle of sensor devices and protocols, employing energy-aware design, production, and utilization, as well as Internet of Things (IoT) technologies such as tags, sensors, sensing networks, and Internet technologies.

In essence, this book offers a comprehensive overview of the state-of-the-art theories and techniques for handling and accessing massive data in medical data and smart health in the IoT, providing valuable guidelines for designing massive Internet of Medical Things.

Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030666354
Edition number: 1st ed. 2021