Healthcare Performance Monitoring

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs.

by David H., Ph.D. Fukuda (Author)
Many scientific sport assessment resources are difficult to understand, can be time consuming to implement, and provide data that are difficult to analyze. Assessments for Sport and Athletic Performance effectively solves those problems in this practical, user-friendly guide to performance-based evaluation

This book covers the basic principle and challenges of structural health monitoring system for natural fibre and the hybrid composites structural materials in industrial applications, such as building, automotive, aerospace and wind turbine. Structural health monitoring (SHM) has become crucial in evaluating the performance of structural application in recent trends, especially since it is in line with the high-tech strategy of Industry 4.0.
It is a system that is operated in real time or in an online situation.

This book covers the basic principle and challenges of structural health monitoring system for natural fibre and the hybrid composites structural materials in industrial applications, such as building, automotive, aerospace and wind turbine. Structural health monitoring (SHM) has become crucial in evaluating the performance of structural application in recent trends, especially since it is in line with the high-tech strategy of Industry 4.0.

This book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with.