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Full Description
This book presents recent applications and developments in the field of sensors, wireless, circuits, systems, medical signals and medical imaging, covering a wide range of applications for monitoring, treatment and assistance in biomedical applications. This book provides insights into the theory, applications and perspectives relevant to the field of sensors, wireless, circuits and systems, as well as the general algorithms and methodologies behind them. Each chapter provides an enriched understanding of a research topic along with a balanced treatment of the relevant theories, methods or applications. It reports on the latest advances in the field. This book is a good reference for graduate students, researchers, educators, engineers and scientists and contains more than 10 chapters divided into four parts as follows. The first part of the book focuses on wireless sensors. It consists of three chapters. The second part is dedicated to circuits and systems and includes three chapters. The third part deals with research on optimization techniques and consists of three chapters. The fourth part describes several approaches applied to biomedical applications and consists of four chapters.
Contents
Wireless Sensor Networks for Factory Automation Monitoring and Control.- Advanced Machine Learning Based Strategy for Indoor Human Identification.- Software Sensor Design for Forecasting and Recovery of ECG Data.- Resonant Inductive Coupling for Wirelessly Powering Active Implants.- On-Chip Integrated Planar Spiral Stacked Transformer in Ferrite-Based Technology.- A low voltage and low power multiple output OTAs using Bulk-Driven Technique and applications.- Performance Extraction and Processing Circuitry Development of a Single-Mass 6-DOF Piezoelectric Inertial Measurement Unit.- Energy Aware Disjoint Dominating Sets Algorithms for Monitoring Applications based Heterogeneous Wireless Sensor Networks.- An Efficient Multi Objective Task Offloading based on Sparrow Search Algorithm in fog computing systems.- Human Exon and Intron Classification based on Convolutional Neural Network.- Deep early identification of intestinal cancer based on SNP protein mutations of the tumor suppressor genes APC and TP53.- etc.