Overview
- Presents key tools and methods Covers a broad spectrum of topics
- Provides knowledge on unique features of biological signals
- Written by an expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Bioengineering (LNBE)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Reviews
“The book is interesting to read and will be useful for researchers interested in the details of suitable algorithms using biological signals for any application … . it is appropriate for students and academics planning to do research specifically with one or more of the discussed algorithms.” (Ramaswamy Palaniappan, Computing Reviews, computingreviews.com, July, 2016)
“The book offers a comprehensive yet well focused exposition of the classification and analysis of biological signals. … The book, divided into six chapters, is well structured and the exposition is clear and carefully thought-out. … useful to students in various courses on biological signal analysis. For practitioners, the volume may also serve as a handy compendium of updated material on biological signal processing.” (Witold Pedrycz, zbMATH 1330.92002, 2016)
Authors and Affiliations
Bibliographic Information
Book Title: Biological Signals Classification and Analysis
Authors: Kamran Kiasaleh
Series Title: Lecture Notes in Bioengineering
DOI: https://doi.org/10.1007/978-3-642-54879-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-642-54878-9Published: 09 July 2015
Softcover ISBN: 978-3-662-51203-6Published: 17 October 2016
eBook ISBN: 978-3-642-54879-6Published: 29 June 2015
Series ISSN: 2195-271X
Series E-ISSN: 2195-2728
Edition Number: 1
Number of Pages: XI, 380
Number of Illustrations: 9 b/w illustrations, 222 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Biomedicine general, Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Fourier Analysis