Complexity analysis in electrophysiological signals
Healthy states appear to be more complex than those observed in disease. We perform complexity and entropy analyses of physiological signals to provide tools for diagnosis.
Leo Medina
Principal Investigator
Leo teaches computer engineering courses at Usach, and his research interests are in the neural engineering and computational neuroscience fields. His work has contributed to understand how nerve fibers respond to electrical stimulation.
