Practical Biomedical Signal Analysis Using MATLAB (R)

1. Auflage 2011
ISBN: 978-1-4398-1202-0
Verlag: Taylor & Francis Inc

Buch, Englisch, 324 Seiten, Format (B × H): 164 mm x 250 mm, Gewicht: 599 g

Reihe: Series in Medical Physics and Biomedical Engineering

Practical Biomedical Signal Analysis Using MATLAB® presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data.

The first several chapters of the text describe signal analysis techniques—including the newest and most advanced methods—in an easy and accessible way. MATLAB routines are listed when available and freely available software is discussed where appropriate. The final chapter explores the application of the methods to a broad range of biomedical signals, highlighting problems encountered in practice.
A unified overview of the field, this book explains how to properly use signal processing techniques for biomedical applications and avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods.

Zielgruppe

Academic and industrial researchers/engineers and graduate and undergraduate students in biomedical and electrical engineering, medical physics, biophysics, and medicine.

Autoren/Hrsg.

Blinowska, Katarzyn

Zygierewicz, Jaroslaw (University of Warsaw, Poland)

Zygierewicz, Jaroslaw

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Introductory Concepts. Single Channel (Univariate) Signal. Multiple Channels (Multivariate) Signals. Application to Biomedical Signals. References. Index.

Über Autor(innen)

K.J. Blinowska is a professor at University of Warsaw, where shewas director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. She has been at the forefrontin the development of new advanced time-seriesmethods for research and clinical applications.
J. Zygierewicz is an assistant professor at University of Warsaw. His research focuses ontime-frequency analysis of EEG and MEG signals, statistical analysis of event-related synchronization and desynchronization in EEG and MEG, and realistic neuronal network models that provide insight into the mechanisms underlying the effects observed in EEG and MEG signals.