Fully updated and with exclusive new content, this second edition 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.
1. A Short Introduction to Matlab. 2. Introductory Concepts. 3. Single Channel (Univariate) Signal. 4. Multiple Channels (Multivariate) Signals 5. Application to Biomedical Signals.
Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB? also offers practical guidance on which procedures are appropriate for a given task and different types of data.
It begins by describing signal analysis techniquesincluding the newest and most advanced methods in the fieldin an easy and accessible way, illustrating them with Live Script demos. MATLAB? routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice.
These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces.
By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misil3I
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