Biomedical Signal and Image ProcessingWritten for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based. |
Contents
Part II Processing of Biomedical Signals | 153 |
Part III Processing of Biomedical Images | 247 |
Index | 377 |
Other editions - View all
Biomedical Signal and Image Processing, Second Edition Kayvan Najarian,Robert Splinter Limited preview - 2012 |
Common terms and phrases
activity analysis applications assume attenuation biological biological tissues biomedical blood brain calculate called cause cell changes chapter characteristics cluster coefficients complex concept consider continuous contraction Courtesy create defined depolarization described detection direction discrete discussed disease domain earlier edge effect electric electrodes energy equation example extract fact field filter follows frequency function given heart identify illustrated important input ions magnetic MATLAB means measured membrane methods muscle myocardial infarction neurons noise objects observed original patient pattern perform period pixels points potential probability problem processing produce properties pulse range recording reflection region represents result sample scans seen shown in Figure shows side signal simple sound specific step techniques tion tissue tomography transform tumor types typical ultrasound units wave wavelet x-ray