| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b3c2e77f8dfda692ca527454d23ecc03 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-375
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4082
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4064 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0022
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7235
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-388
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4076
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-372
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-245 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-375 |
| filingDate |
2007-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a67ef55b6b5c45645072d226450f3a04 |
| publicationDate |
2009-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-2037803-A2 |
| titleOfInvention |
Analysis of brain patterns using temporal measures |
| abstract |
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. |
| priorityDate |
2006-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |