Buch, Englisch, 220 Seiten, Format (B × H): 180 mm x 257 mm, Gewicht: 567 g
Principles and Practices
Buch, Englisch, 220 Seiten, Format (B × H): 180 mm x 257 mm, Gewicht: 567 g
ISBN: 978-1-4398-7143-0
Verlag: CRC Press
With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets accrue as an inevitable part of biomedical enterprise. The availability of these massive amounts of data offers unprecedented opportunities to advance our understanding of underlying biological and physiological functions, structures, and dynamics.
Biosignal Processing: Principles and Practices provides state-of-the-art coverage of contemporary methods in biosignal processing with an emphasis on brain signal analysis. After introducing the fundamentals, it presents emerging methods for brain signal processing, focusing on specific non-invasive imaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI), and functional near-infrared spectroscopy (fNIR). In addition, the book presents recent advances, reflecting the evolution of biosignal processing.
As biomedical datasets grow larger and more complicated, the development and use of signal processing methods to analyze and interpret these data has become a matter of course. This book is one step in the development of biosignal analysis and is designed to stimulate new ideas and opportunities in the development of cutting-edge computational methods for biosignal processing.
Zielgruppe
Academic and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Digital Biomedical Signal Acquisition and Processing. Time–Frequency Signal Representations for Biomedical Signals. Multivariate Spectral Analysis of Electroencephalogram: Power, Coherence, and Second-Order Blind Identification. General Linear Modeling of Magnetoencephalography Data. Emergence of Groupwise Registration in MR Brain Study. Functional Optical Brain Imaging. Causality Analysis of Multivariate Neural Data.
