Digital Biosignal Processing
Rolf Weitkunat · Elsevier eBooks · 1991
Preface. Digital biosignal processing: a selective and subjective introduction. List of contributors. Chapter 1. Origins of the main human biosignals (R. Schandry). Chapter 2. Analog signal conditioning (T. Elbert). Chapter 3. Biosignal data acquisition (M. Buhrer and B. Sparrer). Chapter 4. The foundations of digital Fourier analysis (N.L. Hesselmann). Chapter 5. Digital signal conditioning (W. Wolf). Chapter 6. Model-based analysis of neurophysiological signals (B. Kemp and F.H. Lopes da Silva). Chapter 7. Time series analysis by means of linear modeling (B.H. Jansen). Chapter 8. Point processes. A signal processing approach to the analysis of event series in biomedical applications (G. Baselli and S. Civardi). Chapter 9. Models for estimation and removal of artifacts in biological signals (J.L. Kenemans, P.C.M. Molenaar and M.N. Verbaten). Chapter 10. Adaptive signal processing (J.I. Aunon and Z. Keirn). Chapter 11. Real time processing of event-related potentials (J.P. Rosenfeld). Chapter 12. Instrumental behavior shaping automata (G. Silverman and B.R. Dworkin). Chapter 13. Curvefitting (A.T. Johnson). Chapter 14. Wavelet detection and classification (A. Cohen). Chapter 15. Relationships among signals: cross-spectral analysis of the EEG (G. Dumermuth and L. Molinari). Chapter 16. Multivariate methods in biosignal analysis: application of principal component analysis to event-related potentials (J. Mocks and R. Verleger). Chapter 17. Mapping procedures (G. Pfurtscheller). Chapter 18. Digital image processing (K.D. Brinkmann, H.W. Eisermann and W. Heyne). Chapter 19. Neural network methods (I. Leuthausser). Subject index.