ENCEPHALOGRAPHY METHOD AND APPARATUS INCORPORATING INDEPENDENT COMPONENT ANALYSIS AND A SPECTRAL SHAPING FILTER
First Claim
1. A method for monitoring activity of modular sources within the brain, the method comprising:
- obtaining encephalography data for one or more subjects;
processing the encephalography data using a first independent component analysis algorithm to identify a plurality of first components within the encephalography data;
based on the first components, defining a spectral shaping filter emphasizing spectral frequencies at which the components of the first plurality of components are more statistically independent over other frequencies at which the components of the first plurality of components are less statistically independent;
processing the encephalography data using the spectral shaping filter to yield spectrally-shaped encephalography data;
processing the spectrally-shaped encephalography data using a second independent component analysis algorithm to identify a plurality of second components within the spectrally-shaped encephalography data; and
,processing the encephalography data to determine weights corresponding to the second components.
1 Assignment
0 Petitions
Accused Products
Abstract
Methods and apparatus for encephalography process encephalography data to yield components that correspond to modular areas of the brain. In some embodiments encephalography data is processed by independent component analysis to yield a first set of components that are processed to generate a spectral filter. The spectral filter is applied to the encephalography data to generate a second set of components. The second set of components may be represented by one or more matrices. In an embodiment the second set of components is represented by weight and sphereing matrices. Methods and apparatus may be applied for monitoring brain function, selecting participants for medical trials, adjusting drug dosages, performing and monitoring biofeedback methods, detecting progression toward diseases or conditions that affect the brain and other applications.
-
Citations
41 Claims
-
1. A method for monitoring activity of modular sources within the brain, the method comprising:
-
obtaining encephalography data for one or more subjects; processing the encephalography data using a first independent component analysis algorithm to identify a plurality of first components within the encephalography data; based on the first components, defining a spectral shaping filter emphasizing spectral frequencies at which the components of the first plurality of components are more statistically independent over other frequencies at which the components of the first plurality of components are less statistically independent; processing the encephalography data using the spectral shaping filter to yield spectrally-shaped encephalography data; processing the spectrally-shaped encephalography data using a second independent component analysis algorithm to identify a plurality of second components within the spectrally-shaped encephalography data; and
,processing the encephalography data to determine weights corresponding to the second components. - View Dependent Claims (2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 17, 18)
-
-
7. (canceled)
-
14-16. -16. (canceled)
-
19-25. -25. (canceled)
-
26. A method for processing encephalography data to remove artifacts, the method comprising:
-
processing the encephalography data using an independent component analysis algorithm to identify a plurality of components; processing the components to yield one or more volume domain characteristics of the components; and comparing the one or more volume domain characteristics to corresponding thresholds. - View Dependent Claims (27, 28)
-
-
29-37. -37. (canceled)
-
38. Apparatus for monitoring activity of modular sources within the brain, the apparatus comprising:
-
an data store containing encephalography data for one or more subjects; a processor configured for; processing the encephalography data using a first independent component analysis algorithm to identify a plurality of first components within the encephalography data; based on the first components, defining a spectral shaping filter emphasizing spectral frequencies at which the components of the first plurality of components are more statistically independent over other frequencies at which the components of the first plurality of components are less statistically independent; processing the encephalography data using the spectral shaping filter to yield spectrally-shaped encephalography data; processing the spectrally-shaped encephalography data using a second independent component analysis algorithm to identify a plurality of second components within the spectrally-shaped encephalography data; and
,processing the encephalography data to determine weights corresponding to the second components. - View Dependent Claims (39, 40)
-
-
41-60. -60. (canceled)
Specification