| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5075c161fb529ad0fbccaa78cd8bdbab |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2002-704
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2002-701 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1038
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-377
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2-72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-112
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-316 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-103
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61F2-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61F2-72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61F2-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0476 |
| filingDate |
2011-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a009192820b1f290ec447dae190e566e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9cc2258a767325722abf3926ced8f524
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d761e64c015072d933ed87b06ab86d94
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4e28332bea9757c7877e51b9641ccc57
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3b368d8e2b43709666ac5c1a282972c4 |
| publicationDate |
2012-11-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-2523637-A1 |
| titleOfInvention |
Method to determine an artificial limb movement from an electroencephalographic signal |
| abstract |
The present invention is related to a method to determine an artificial limb movement comprising the steps of : providing an EEG input training dataset; providing an output prosthetic limb movement training dataset corresponding to said EEG input training dataset; providing a dynamic recurrent neural network (DRNN) comprising a convergence acceleration algorithm; training said DRNN with said input and output datasets to define synaptic weights W i-j , between neurons of said DRNN; determining from any EEG input dataset the artificial limb movement using the output generated by the trained DRNN in response to said EEG input dataset. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103690281-A |
| priorityDate |
2010-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |