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.
We are developing computational models of noninvasive electrical stimulation to design strategies that are able to reach spinal cord structures using surface electrodes. Modulating the activity of nerve fibers or neurons in the spine is being used for pain relief in people with chronic pain.
We use physic-based models to understand cerebrovascular function and provide tools for diagnosis of diseases such as Parkinson’s and Alzheimer’s.