Practical Biomedical Signal Analysis Using MATLABAr 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 techniquesaincluding the newest and most advanced methodsain 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.This can be done with maximum likelihood parameter estimation using expectation-maximization Baum-Welch algorithm [Baum et al., 1970]. ac Given a sequence of observations one can evaluate probability that the se- quence was generatedanbsp;...
|Title||:||Practical Biomedical Signal Analysis Using MATLAB®|
|Author||:||Katarzyn J. Blinowska, Jaroslaw Zygierewicz|
|Publisher||:||CRC Press - 2011-09-12|