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| Artikel-Nr.: 5667A-9783031235283 Herst.-Nr.: 9783031235283 EAN/GTIN: 9783031235283 |
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![](/p.gif) | This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis. provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Tristan D. Griffith; James E. Hubbard Jr.; Mark J. Balas | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: Real-time EEG Imaging, Modal Analysis of Brain Waves, Imaging Using Biomarkers, Brain Wave Mapping Using EEG, Biomarker Dynamics, Operational Modal Analysis of Biomarkers, Adaptive State Estimation of Biomarker Dynamics, Black Box Biomarker System Identification, State-space Models for Brain Waves, Brain Wave Adaptive Unknown Input Synthesis |
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