Electrical Biosignals in Biomedical Engineering: Medical Sensors, Measurement Technology and Signal Processing - Softcover

Husar, Peter; Gašpar, Gabriel

Softcover

ISBN 10: 3662680009 ISBN 13: 9783662680001

Publisher: Springer, 2024

Synopsis

This book is a broad-based introduction to an increasingly important topic. The overview is easy because each chapter is structured uniformly: theory, methods, realization alternatives, methodical and practical advantages and disadvantages, and examples from industrial technology and medicine as well as research and development practice.

Compared to the first edition “Biosignal Processing”, the content of this book has been expanded by a sensor chapter (galvanic and capacitive sensors) and exemplary experimental data. Chapter 7: “Stochastic Processes” is also new with selected topics such as statistical analysis of time series, signal detection, and signal decomposition. Furthermore, various electronic measuring circuits and calculations have been adapted to the changed legal regulations and standards and some calculation errors have been corrected.

The content is oriented to the sequence of the metrological and signal-analytical chain: neuron as a signal source–sensor technology–signal amplification and conditioning–signal sampling and digitization–methods of biosignal processing–biostatistics and stochastic processes.

The target groups

The book is suitable for medical technology studies, research, and practice. You can inform yourself compactly across your professional boundaries about the neighbouring fields and topics at the interdisciplinary interface between medicine and technology.

About this title

About the Author

Univ.-Prof. Dr.-Ing. habil. Peter Husar, has many years of experience as a medical engineer (partly including studies), who has been constantly involved in theory, applied and basic research, teaching, challenging research projects, and industrial application, as well as intensive clinical practice at a large university hospital. He is active in the fields of medical technology, medical metrology, medical electronics, digital biosignal processing, biostatistics, and evoked potentials, as well as other physiological signals such as oxygen saturation, gaze direction, or movement. The list of publications and patents in the aforementioned fields, industrial projects, and practical experience in a university hospital completes the competence picture.

Assoc Prof. Dr. Gabriel Gašpar, managing director of a research division at the Research Centre of University of Žilina in Žilina, Slovak Republic, has been part of applied and basic research, education, and several researchprojects and industrial application. He is involved in signal processing, sensor systems, low-level microprocessor programming, PCB design, software applications in sensory systems, and the preparation of physical experiments to verify proposed solutions. He is the sole author or a co-author of several IPRs and scientific and technical papers in national and international conference proceedings and journals.

Compared to the first edition “Biosignal Processing”, the content of this book has been expanded by a sensor chapter (galvanic and capacitive sensors) and exemplary experimental data. Chapter 7: “Stochastic Processes” is also new with selected topics such as statistical analysis of time series, signal detection, and signal decomposition. Furthermore, various electronic measuring circuits and calculations have been adapted to the changed legal regulations and standards and some calculation errors have been corrected.

The content is oriented to the sequence of the metrological and signal-analytical chain: neuron as a signal source–sensor technology–signal amplification and conditioning–signal sampling and digitization–methods of biosignal processing–biostatistics and stochastic processes.

The target groups

The book is suitable for medical technology studies, research, and practice. You can inform yourself compactly across your professional boundaries about the neighbouring fields and topics at the interdisciplinary interface between medicine and technology.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 3662680009
• ISBN 13: 9783662680001
• Binding: Paperback
• Number of pages: 530