Condition assessment of nonlinear processes

Patent · 01 January 2002

OSTI ID:874888

Hively, Lee M ^[1]; Gailey, Paul C ^[2]; Protopopescu, Vladimir A ^[3]

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1. Philadelphia, TN
2. Athens, OH
3. Knoxville, TN

There is presented a reliable technique for measuring condition change in nonlinear data such as brain waves. The nonlinear data is filtered and discretized into windowed data sets. The system dynamics within each data set is represented by a sequence of connected phase-space points, and for each data set a distribution function is derived. New metrics are introduced that evaluate the distance between distribution functions. The metrics are properly renormalized to provide robust and sensitive relative measures of condition change. As an example, these measures can be used on EEG data, to provide timely discrimination between normal, preseizure, seizure, and post-seizure states in epileptic patients. Apparatus utilizing hardware or software to perform the method and provide an indicative output is also disclosed.

• Research Organization: LOCKHEED MARTIN ENERGY RES COR
• DOE Contract Number: AC05-96OR22464
• Assignee: Lockheed Martin Energy Research Corporation (Oak Ridge, TN)
• Patent Number(s): US 6484132
• OSTI ID: 874888
• Country of Publication: United States
• Language: English

Related Subjects

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