| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-015
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61F2-72 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61F2-72 |
| filingDate |
2016-11-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3b29a2c4e21a260f0fb3d59b12af5a0e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fbc72f6df7772683c1b33682889f2e11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_80cb7bffeb775165d69aa6b8685fbaa3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fdf2cea1bd3a409e83f37ca30ce1cd0b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_109b470cc960d5570243dfa33e3f5b38
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ca502e0de3217a3ee1bef7ad3113a0b1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2579aa224b08f6929bcbce2a432d65e5
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b766ff905f40ba2529f60439212cd10c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d0b7643f4872fde66d7ae35063be27b4 |
| publicationDate |
2018-05-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2018094720-A1 |
| titleOfInvention |
Clinical electroencephalogram signal-based brain-machine interface system for controlling robotic hand movement and application thereof |
| abstract |
A clinical cortical electroencephalogram signal-based brain-machine interface system for controlling robotic hand movement and an application method thereof. The system comprises: a signal acquisition module, an electroencephalogram characteristic extraction and decoding module, a robotic hand control module, and an external module. The signal acquisition module preprocesses and outputs an acquired clinical electroencephalogram signal to the electroencephalogram characteristic extraction and decoding module. The electroencephalogram characteristic extraction and decoding module extracts a characteristic of the preprocessed electroencephalogram signal. The robotic hand control module classifies the characteristic of the preprocessed electroencephalogram signal and sends a classification to a robotic hand to complete gesture movement. The external module monitors and provides feedback about a task performed by the robotic hand. The system and method are based on the clinical cortical electroencephalogram signal that has higher time-space resolution and low invasiveness, thereby enabling high-precision online gesture control of a robotic hand. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111522445-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111736690-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112631173-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114027855-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111543983-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109657560-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114237385-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114027855-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111543983-A |
| priorityDate |
2016-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |