Main description:

Practical Biomedical Signal Analysis Using MATLAB(R) 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.

Contents:

Introductory Concepts Stochastic and deterministic signals, concepts of stationarity and ergodicity Discrete signals Linear time invariant systems Duality of time and frequency domain Hypotheses testing Surrogate data techniques Single Channel (Univariate) Signal Filters Probabilistic models Stationary signals Non-stationary signals Non-linear methods of signal analysis Multiple Channels (Multivariate) Signals Cross-estimators: cross-correlation, cross-spectra, coherence (ordinary, partial, multiple) Multivariate autoregressive model (MVAR) Measures of directedness Non-linear estimators of dependencies between signals Comparison of the multichannel estimators of coupling between time series Multivariate signal decompositions Application to Biomedical Signals Brain signals: local field potentials (LFP), electrocorticogram (ECoG), electroencephalogram (EEG), and magnetoencephalogram (MEG), event related responses (ERP), and evoked fields (EF) Heart signals Electromyogram Gastro-intestinal signals Acoustic signals References Index