MIoMT 2020: Efficient Data Handling for Massive Internet of Medical Things- Healthcare Data Analytics |
Website | https://sites.google.com/view/miomt/home |
Edited Book: Efficient Data Handling for Massive Internet of Medical Things- Healthcare Data Analytics
In the past decades, the number of deployments for sensor networks grew drastically. The health monitoring and diagnosis for the target structure of interest are achieved through the interpretation of collected data. The rapid advances in sensor technologies and data acquisition tools have led to the new era of Big data, where massive heterogeneous data are collected by different sensors. The enhancing accessibility of the data resources gives new scopes for health monitoring, while the data aggregated from multiple sensors to make strong decisions remains a challenging problem. Challenges for data fusion in health monitoring will be the focus through the quality papers. Fusion is a multi-domain developing field; it is mainly categorized as contextual information, observational data, and learned knowledge. The data fusion systems are providing dynamically-changing situations by integrating sensors outcome, knowledge bases, databases, user mission, and contextual information. This Book aims at addressing these topics across multiple abstraction levels, ranging from architectural models, the provisioning of services, protocols, and interfaces to specific implementation approaches. Furthermore, additional focus will be given to areas related to the role of data mining and machine learning in modeling and deploying secure and trustworthy sensor networks internet of medical things (IoMT) systems. It aims to present the most important and relevant advances to overcome the challenges related to security, data analytics, and energy-aware solutions in the Internet of Things.
Submission Guidelines
This edited book solicits contributions from the field of Massive IoMT Healthcare data analytics. Each book chapter should cover the solutions with the state-of-the-art and novel approaches for the IoMT problems and challenges in Healthcare data analytics. You are welcome to submit your contributions and more information is given on the webpage: https://sites.google.com/view/miomt/home
List of Topics
Topics to be discussed in this edited book include but not are limited to:
- Wireless boy area sensor networks architectures, protocols, or applications
- Recent developments in sensor technology, and wearable computing
- Sensors for the Internet of things
- Touch-sensing sensor
- Multimodal data fusion for healthcare
- Data aggregation and fusion
- In-network data processing
- Optimized data protocols and distributed sensor networks
- Wireless and wearable sensors for health informatics
- Cloud computing and big data technologies for sensor data processing
- Complex sensors data handling
- Heterogeneous data fusion and context-aware systems for the Internet of things health
- Complex query processing, reliability, and accuracy
- Remote human’s health and activities monitoring
- Smart sensors technologies for healthcare
- Big medical data analytics
- Optimal sensors establishment algorithms
- Mobility enhancement of sensors data streams
- Advances of data acquisition to data fusion
- Nano-sensors for big data informatics
- Decision-making systems for sensors data
- Artificial intelligence for health informatics
- Data fusion algorithms for structural health monitoring
- Data mining and fusion algorithms for WBAN
- Health sensor data management
- Sensor informatics for homecare monitoring
- Sensors for VR/AR, mixed reality, data visualization, and gamification
Committees
Chinmay Chakraborty, Birla Institute of Technology Mesra, India
Uttam Ghosh, Vanderbilt University, USA
Vinayakumar Ravi, Cincinnati Children’s Hospital Medical Center, USA
Yogesh Shelke Global Research and Analytics Firm
Publication
The book publication schedule is as follows:
- Abstract Submission: June 20, 2020
- Acceptance: June 30, 2020
- Full Chapter Submission: July 30, 2020
- Notification for Corrections: August 30, 2020
- Final Chapter Submission: September 15, 2020
- Delivery of full content of the book to the publisher: November 2020.
The accepted chapters will be published in Springer Internet of Things - Technology, Communications and Computing (https://www.springer.com/series/11636) indexed by (Scopus, Ei-Compendex )
Contact
For questions regarding the book, please contact the volume editor: Chinmay Chakraborty, Birla Institute of Technology Mesra, India: cchakrabarty@bitmesra.ac.in