http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102370627-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y10S128-92 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2020-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-03-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-03-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102370627-B1 |
| titleOfInvention | Deep neural network based conscious state determination device and method |
| abstract | a collection unit for collecting brain signals; a preprocessor for generating 3D EEG information; a learning model generator for learning the awakening state of the three-dimensional EEG information and learning the awakening state of the three-dimensional EEG information; A consciousness level evaluation unit that inputs 3D EEG information into the model to calculate arousal probability and awakening probability; a state of consciousness determination unit for determining a state of consciousness; and an output unit for outputting a state of consciousness, a deep neural network-based state of consciousness determination device is disclosed. |
| priorityDate | 2019-09-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 19.