Chaotic Data Analysis and Hybrid Modeling for Biomedical Applications
We propose two methods of analysis of chaotic processes to be applied in sensory analysis. These methods may be used off-line in clinics e.g. for analysis of biosignals registered during sleep, or implemented into new sensor systems e.g. for drivers' vigilance monitoring in real time; they may also be applied in new type of hybrid models of circulatory and respiratory systems.