| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_cc60039b5822cf6f878b02ff2e7a0141 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2018-00577
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2018-00839
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2018-00357 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-283
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-443
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B18-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-361
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B18-14 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-287
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-361
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02 |
| filingDate |
2021-06-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c6396a45a405037f25d6ef19a59b37e1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3c0c82544b01fb101fc218fca9f35363
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e8121c4f7ba3bf5f7c1dd2a489f48577
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_190b68cf4dc15a6622eb77875557d721
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2a568cea132dd6240f560ddf434f9494
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1ceb339aa16d4ae5647cb7016ecd823c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6573e2f66593984112525b3176419691 |
| publicationDate |
2021-12-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
JP-2021194543-A |
| titleOfInvention |
Atrial fibrillation |
| abstract |
PROBLEM TO BE SOLVED: To provide a system and a method for implementing a machine learning / artificial intelligence algorithm for detecting atrial fibrillation and termination of atrial fibrillation. A method is provided. The method is carried out by a detection engine that is stored in memory and embodied as processor executable code executed by at least one processor. The method comprises modeling a vector velocity field that measures and quantifies the velocity of an electrocardiogram data signal passing through a local excitatory time. The method is to determine the code for each point in the plane and give a color-coded vector field image, and by scanning the color-coded vector field image using the kernel, the nest-like excitement and rotor index. Further includes the detection of, and the classification of nest-like excitement and rotor indicators into persistent factors. [Selection diagram] Fig. 1 |
| priorityDate |
2020-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |