Adaptive method and apparatus for forecasting and...

Surgery: light – thermal – and electrical application – Light – thermal – and electrical application – Electrical therapeutic systems

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C600S544000

Reexamination Certificate

active

07146218

ABSTRACT:
A method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programmed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and/or magnetic stimulation.

REFERENCES:
patent: 3837331 (1974-09-01), Ross
patent: 3850161 (1974-11-01), Liss
patent: 3863625 (1975-02-01), Viglione et al.
patent: 3967616 (1976-07-01), Ross
patent: 3993046 (1976-11-01), Fernandez et al.
patent: 4566464 (1986-01-01), Piccone et al.
patent: 4702254 (1987-10-01), Zabara
patent: 4735204 (1988-04-01), Sussman et al.
patent: 4867164 (1989-09-01), Zabara
patent: 5025807 (1991-06-01), Zabara
patent: 5304206 (1994-04-01), Baker, Jr. et al.
patent: 5311876 (1994-05-01), Olsen et al.
patent: 5713923 (1998-02-01), Ward et al.
patent: 5743860 (1998-04-01), Hively et al.
patent: 5857978 (1999-01-01), Hively et al.
patent: 5928272 (1999-07-01), Adkins et al.
patent: 5978702 (1999-11-01), Ward et al.
patent: 5995868 (1999-11-01), Dorfmeister et al.
patent: 6016449 (2000-01-01), Fischell et al.
patent: 6018682 (2000-01-01), Rise
patent: 6061593 (2000-05-01), Fischell et al.
patent: WO 00/10455 (2000-03-01), None
Iasemidis, et al., “Spatiotemporal Evolution of Dynamical Measures Precedes Onset of Mesial Temporal Lobe Seizures,”Epilepsia, vol. 35, No. Suppl. 8, pp. 133,1994.
Iasemidis, et al., “Chaos Theory and Epilepsy”,The Neuroscientist, Mar. 1996, vol. 2, No. 2, pp. 118-126.
Grassberger, et al. “Characterization of Strange Attractors,”Physical Rev. Letters, vol. 50, No. 5, pp. 346-349.
Elger, et al., “Seizure Prediction by Nonlinear Time Series Analysis of Brain Electrical Activity,”European Journal of Neuroscience, 1998, vol. 10, pp. 786-789.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Adaptive method and apparatus for forecasting and... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Adaptive method and apparatus for forecasting and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive method and apparatus for forecasting and... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3697236

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.