Magnetic measurement system
US-2016338608-A1 · Nov 24, 2016 · US
Analysis of brain patterns using temporal measures
US9101276B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9101276-B2 |
| Application number | US-82550907-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 6, 2007 |
| Priority date | Jul 6, 2006 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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Abstract
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A set of brain data representing a time series of neurophysiologic activity acquired by spatially distributed sensors arranged to detect neural signaling of a brain (such as by the use of magnetoencephalography) is obtained. The set of brain data is processed to obtain a dynamic brain model based on a set of statistically-independent temporal measures, such as partial cross correlations, among groupings of different time series within the set of brain data. The dynamic brain model represents interactions between neural populations of the brain occurring close in time, such as with zero lag, for example. The dynamic brain model can be analyzed to obtain the neurophysiologic assessment of the brain. Data processing techniques may be used to assess structural or neurochemical brain pathologies.
First claim
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What is claimed is: 1. A system for classifying neurophysiologic activity of a first subject, the system comprising: a data input configured to receive brain activity data corresponding to an idle state of the brain of the first subject, the brain activity data representing a time series of neurophysiologic activity acquired by a sensor system arranged to detect spatial and temporal neural signaling in the subject utilizing magnetic fields produced in a multiplicity of brain regio…
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Human Necessities · mapped topic
Human Necessities · mapped topic
Physics · mapped topic
- A61B5/04008Primary
Human Necessities · mapped topic
- A61B5/7235Primary
Human Necessities · mapped topic
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- What does patent US9101276B2 cover?
- A set of brain data representing a time series of neurophysiologic activity acquired by spatially distributed sensors arranged to detect neural signaling of a brain (such as by the use of magnetoencephalography) is obtained. The set of brain data is processed to obtain a dynamic brain model based on a set of statistically-independent temporal measures, such as partial cross correlations, among …
- Who is the assignee on this patent?
- Georgopoulos Apostolos, Univ Minnesota
- What technology area does this patent fall under?
- Primary CPC classification A61B5/04008. Mapped technology areas include Human Necessities.
- When was this patent published?
- Publication date Tue Aug 11 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).