"Biosignal processing" - Information and Links:

Biosignal processing - Info and Reading Options

principles and practices

"Biosignal processing" was published by Taylor & Francis in 2012 - Boca Raton and the language of the book is English.


“Biosignal processing” Metadata:

  • Title: Biosignal processing
  • Authors:
  • Language: English
  • Publisher: Taylor & Francis
  • Publish Date:
  • Publish Location: Boca Raton

“Biosignal processing” Subjects and Themes:

Edition Specifications:

  • Pagination: p. ;

Edition Identifiers:

AI-generated Review of “Biosignal processing”:


"Biosignal processing" Table Of Contents:

  • 1- Causality analysis of multivariate neural data / Maciej Kaminski, Hualou Liang
  • 2- Multivariate spectral analysis of EEG : power, coherence, and second-order blind identification / Ramesh Srinivasan and Siyi Deng
  • 3- Functional optical brain imaging / Meltem Izzetoglu
  • 4- General linear modeling of magnetoencephalography data / Dimitrios Pantazis, Juan Luis Poletti Soto, Richard M. Leahy
  • 5- Emergence of groupwise registration in MR brain study / Guorong Wu ... [et al.]
  • 6- Digital biomedical signal acquisition and processing / Luca Mainardi, Sergio Cerutti
  • 7- Time-frequency signal representations for biomedical signals / G. Faye Boudreaux-Bartels and Robin Murray.

"Biosignal processing" Description:

The Open Library:

"This book provides state-of-the-art coverage of contemporary methods in biosignal processing, with emphasis on brain signal analysis. The topics covered in this book reflect an ongoing evolution in biosignal processing. As biomedical data sets grow larger and more complicated, emerging signal processing methods to analyze and interpret these data have gained in importance. This book discusses the process for biosignal analysis and stimulates new ideas and opportunities for developing cutting-edge computational methods for biosignal processing, which will in turn accelerate laboratory discoveries into treatments for patients. Provides a general overview of basic concepts in biomedical signal acquisition and processing. Discusses nonstationary and transient nature of signals by introducing time-frequency analysis and its applications to signal analysis and detection problems in bioengineering. Covers emerging methods for brain signal processing, each focusing on specific non-invasive imaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) and functional near-infrared spectroscopy (fNIR). Explores a multivariate spectral analysis of EEG data using power, coherence and second-order blind identification. Introduces a general linear modeling approach for the analysis of induced and evoked response in MEG. Presents the progress in groupwise registration algorithms for effective MRI medical image analysis. Examines the basis of optical imaging, fNIR instrumentation and signal analysis in various cognitive studies. Reviews recent advances of causal influence measures such as Granger causality for analyzing multivariate neural data"--Provided by publisher.

Read “Biosignal processing”:

Read “Biosignal processing” by choosing from the options below.

Search for “Biosignal processing” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Biosignal processing” in Libraries Near You:

Read or borrow “Biosignal processing” from your local library.

Buy “Biosignal processing” online:

Shop for “Biosignal processing” on popular online marketplaces.