Adaptive Filtering Techniques for Remote Health Care Monitoring Systems

Zia Ur Rahman, Ph.D.
Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation
Green Fields, Vaddeswaram, Guntur, A.P., India

Series: Biomedical Devices and their Applications
BISAC: MED003070

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$195.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Adaptive Filtering Techniques for Remote Health Care Monitoring Systems aims to present a full picture of the state-of-the-art research and development of adaptive signal processing applications in various real-time applications. This book covers some important applications like MIMO, artifact removal, speech enhancement, beam forming, brain computer interface, genomic analysis, biomedical signal processing, healthcare technology, inter symbol interference cancellation, and others.

It is certainly not the authors’ ambition to cover everything concerning adaptive filtering principles and applications. Rather, this edited book features the latest methodological, technical and practical progress on promoting the successful use of adaptive filtering principles and applications, which are more useful in the current day scenario. This book consists of ten chapters contributed by prominent researchers from throughout the world.
The intended audience of this book will mainly consist of researchers, research students and practitioners in adaptive filtering and applications. This book is also of interest to researchers and industrial practitioners in areas such as algorithm developers, biomedical engineering, biomedical instrumentation, VLSI circuits design, and embedded systems. This edited book will present research outcomes on theoretical and technical issues related to real-time applications.
The authors would like to convey their appreciation to all the contributors, including the accepted chapters’ authors, and many other participants who submitted their chapters that cannot be included in the book due to space limitation.

List of Abbreviations

List of Symbols

Abstract

Chapter 1. Introduction

Chapter 2. Theoretical Considerations of Adaptive Filtering Techniques

Chapter 3. Sign LMS based Adaptive Filtering Techniques for the Removal of Noise in ECG Signals

Chapter 4. Normalization-Based Realization of Adaptive Filtering Techniques for the Removal of Noise in ECG Signals

Chapter 5. Block-Based Adaptive Filtering Techniques for the Removal of Noise in ECG Signals

Chapter 6. Implementation of Adaptive Filtering Techniques for the Removal of Noise in ECG Signals on Digital Signal Processor-Based Embedded system

Chapter 7. Conclusions

References

Annexure I: List of Figures

Annexure II: List of Tables

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