David Claude Snyder

US Patent:

20100168604, Jul 1, 2010

Filed:

Dec 29, 2009

Appl. No.:

12/649098

Inventors:

Javier Ramon Echauz - Alpharetta GA, US
David E. Snyder - Seattle WA, US
Kent W. Leyde - Sammamish WA, US

International Classification:

A61B 5/0476
G09G 5/22

US Classification:

600544, 3454401

Abstract:

Method and apparatus for improved processing for multi-channel signals. In an exemplary embodiment, an anomaly metric is computed for a multi-channel signal over a time window. The magnitude of the anomaly metric may be used to determine whether an anomaly is present in the multi-channel signal over the time window. In an exemplary embodiment, the anomaly metric may be a condition number associated with the singular values of the multi-channel signal over the time window, as further adjusted by the number of channels to produce a data condition number. Applications of the anomaly metric computation include the scrubbing of signal archives for epileptic seizure detection/prediction/counter-prediction algorithm training, pre-processing of multi-channel signals for real-time monitoring of bio-systems, and boot-up and/or adaptive self-checking of such systems during normal operation.

US Patent:

20100302270, Dec 2, 2010

Filed:

Jun 2, 2010

Appl. No.:

12/792582

Inventors:

Javier Ramón Echauz - Alpharetta GA, US
David E. Snyder - Bainbridge Island WA, US
Kent W. Leyde - Sammamish WA, US

International Classification:

G06T 11/20
G09G 5/02
G06F 19/00
G06F 17/18

US Classification:

345589, 345440, 702 66, 702180

Abstract:

Method and apparatus for improved processing for multi-channel signals. In an exemplary embodiment, an anomaly metric is computed for a multi-channel signal over a time window. The magnitude of the anomaly metric may be used to determine whether an anomaly is present in the multi-channel signal over the time window. In an exemplary embodiment, the anomaly metric may be a condition number associated with the singular values of the multi-channel signal over the time window, as further adjusted by the number of channels to produce a data condition number. Applications of the anomaly metric computation include the scrubbing of signal archives for epileptic seizure detection/prediction/counter-prediction algorithm training, pre-processing of multi-channel signals for real-time monitoring of bio-systems, and boot-up and/or adaptive self-checking of such systems during normal operation.