NONLINEAR DYNAMICAL SEIZURE PREDICTION AND DETECTION
DESCRIPTION (provided by applicant): Techniques from nonlinear dynamics are
potentially valuable for prediction of epileptic seizures based on preliminary
results with reported prediction times of up to several minutes before
electrographic onset. These results must be validated using a database
containing more subjects and longer time series with more than one seizure per
series in order to establish their predictive sensitivity and specificity.
Moreover, criteria for prospective inference must be developed at the same time
as computational efficiency is improved, in order to be usable in real time.
FHS, with proven expertise in epileptic signal analysis and a database
containing over 2000 hours of ECoG recordings from 20 subjects with over 100
seizures, is ideally suited for this task. The end product of this proposed
research will be a user-friendly software package for the detection,
prediction, and quantification of epileptic seizures for use in a portable
device or in diagnostic equipment. The introduction of this software will
advance the field scientifically, clinically, and commercially. In Phase I, we
will demonstrate proof of principle for this concept, assessing the value of
the measures for the task of seizure prediction and detection, and quantifying
their sensitivity to amplitude and frequency changes.
PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE
Small Business Information at Submission:
FLINT HILLS SCIENTIFIC, LLC
FLINT HILLS SCIENTIFIC, LLC 5020 W 15TH ST, STE A LAWRENCE, KS 66049
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