| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_69bddb4c84704857f70d926c31a6e1a2 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B7-04 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-686
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0205
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16Z99-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16Z99-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2017-04-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2019-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43d9d29601ed7587903dd44ccb91e69a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_657cc2574e7ae5b295d29a44fb7f7f83
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ebbc684f9927948ded7a2b8d6c3f098
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fe53a63becfd587f1e88d8b09f7b2a2b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_353a7add109ad789ece3ea8ba2e43b4c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b6fbf9507f5cfeca1241fba8686d2a33 |
| publicationDate |
2019-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10182768-B2 |
| titleOfInvention |
Heart failure event detection using multi-level categorical fusion |
| abstract |
Systems and methods for detecting a present, or predicting a future, target physiologic event such as worsening heart failure (HF) are described. A system can comprise a patient information receiver circuit, at least two categorical risk analyzer circuits, and a categorical fusion circuit. The patient information receiver circuit receives physiologic signals and generates signal trends. The categorical risk analyzer circuit receives a category-specific input selected from the signal trends according to an associative physiologic condition indicative or correlative of the target event. The categorical risk analyzer circuit produces a signal trend metric indicating relative change in signal strength over time. The categorical risk analyzer circuit calculates a categorical risk index that indicates likelihood of the patient developing or presenting the associative physiologic condition. The categorical fusion circuit uses the categorical risk indices to generate a composite risk indicator indicating likelihood of the patient developing the target physiologic event. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022173674-A1 |
| priorityDate |
2014-03-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |