Intelligent Fuzzy Computing for Biomedical Signal Analysis
February 20, 2012 | Jane Fruchtnicht
Authors: M. Kumar, N. Stoll, K. Thurow, and R. Stoll
Center for Life Science Automation | University of Rostock, Germany
The Problem = Physiological Signal to Individual Assessment
- The physiological signals are typically contaminated with noise and artifacts.
- The signal features based on the typical statistical, spectral, non-linear dynamical, and adaptive modeling analysis might not be enough diagnostic efficient in distinguishing the patients’ physiological states.
- The uncertain and complex relationships between physiological states and physiological signals are difficult to be modeled using classical modeling approaches.
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