Abstract: Chapter 5 Dealing with Randomness in Biosignals Patrick Celka, Patrick Celka [email protected] Applied Cognitive Neuroscience Research Centre, School of Engineering, Griffith University, Gold Coast Queensland 9726, AustraliaSearch for more papers by this authorRolf Vetter, Rolf Vetter [email protected] Systems Engineering Division, Control and Signal Processing Section, Rue Jaquet-Droz 1, 2007 Neuchatel, SwitzerlandSearch for more papers by this authorElly Gysels, Elly Gysels Biosense Webster, Johnson & Johnson Medical Switzerland, Johnson & Johnson AG, Rotzenbuehlstraße 55, 8957 Spreitenbach, SwitzerlandSearch for more papers by this authorTrevor J. Hine, Trevor J. Hine [email protected] Applied Cognitive Neuroscience Research Centre, School of Psychology, Griffith University, Mt Gravatt Queensland 4111, AustraliaSearch for more papers by this author Patrick Celka, Patrick Celka [email protected] Applied Cognitive Neuroscience Research Centre, School of Engineering, Griffith University, Gold Coast Queensland 9726, AustraliaSearch for more papers by this authorRolf Vetter, Rolf Vetter [email protected] Systems Engineering Division, Control and Signal Processing Section, Rue Jaquet-Droz 1, 2007 Neuchatel, SwitzerlandSearch for more papers by this authorElly Gysels, Elly Gysels Biosense Webster, Johnson & Johnson Medical Switzerland, Johnson & Johnson AG, Rotzenbuehlstraße 55, 8957 Spreitenbach, SwitzerlandSearch for more papers by this authorTrevor J. Hine, Trevor J. Hine [email protected] Applied Cognitive Neuroscience Research Centre, School of Psychology, Griffith University, Mt Gravatt Queensland 4111, AustraliaSearch for more papers by this author Book Editor(s):Björn Schelter, Björn Schelter Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this authorMatthias Winterhalder, Matthias Winterhalder Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this authorJens Timmer, Jens Timmer Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this author First published: 06 September 2006 https://doi.org/10.1002/9783527609970.ch5Citations: 3 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary This chapter contains sections titled: Introduction Determinism: Does It Exist? Randomness: An Illusion? Randomness and Noise How Do Biological Systems Cope with or Use Randomness? Uncertainty Principle in Biology Stochastic Resonance in Biology How Do Scientists and Engineers Cope with Randomness and Noise? A Selection of Coping Approaches Global State-Space Principal Component Analysis Local State-Space Principal Component Analysis Applications Cardiovascular Signals: Observer of the Autonomic Cardiac Modulation Noise Reduction by Spatio-Temporal PCA Blind Source Separation of Noisy Mixtures Results Electroencephalogram: Spontaneous EEG and Evoked Potentials Speech Enhancement Proposed Subspace Approach Subspace Partitioning Results Conclusions References Citing Literature Handbook of Time Series Analysis: Recent Theoretical Developments and Applications RelatedInformation
Publication Year: 2006
Publication Date: 2006-09-06
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 6
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