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Method for automatic and unsupervised classification of high-frequency oscillations in physiological recordings.
Automatic detection and classification of high frequency oscillations (HFO) data for use in clinical diagnosis and therapy has been limited. Currently, researchers visually inspect for high frequency oscillations.
An algorithm to automatically extract quantitative local seizure information from multielectrode data. The automated HFO detection and classification algorithm is comprised of three major stages:
Brian Litt, MD, Department of Neurology
Stage of Development:
Published U.S. Patent Application US20120245481
Blanco, et al. 2010. “Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients.” J Neurophysiol, 104(5) 2900-2912.
Docket # X5675