Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f908413689ae1c231f4badb865953229 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8a80ef981393e6b46f3d4db13a528671 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_76ba102ea9c02b6633d64bf09c5b89a4 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7257 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-725 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-721 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7221 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4094 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-291 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7475 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-742 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-316 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-374 |
filingDate |
2013-03-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a8d064f2df67dcca0c7a3a424e1fa90f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c881de1f719f50b909fb9130d963dd66 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b78d99c66dc465bd421c3263dff6c4e4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_175879424fc2a8cc4dd3f5f42997345e |
publicationDate |
2015-01-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
EP-2827769-A1 |
titleOfInvention |
Methods and systems for brain function analysis |
abstract |
Various methods and systems are provided for cerebral diagnosis. In one example, among others, a method includes obtaining EEG signals from sensors positioned on a subject; conditioning data from the EEG signals to remove artifacts; generating a cerebral network model based at least in part upon the conditioned data; determining network features based upon the cerebral network model; and determining a cerebral condition of the subject based at least in part upon the network features. In another example, a method includes determining a recording condition of a positioned EEG sensor and providing an indication of an unacceptable recording condition of the EEG sensor. In another example, a system includes an EEG recording module to acquire signals; a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110443798-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111046779-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110443798-A |
priorityDate |
2012-03-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |