http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022370017-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_81ba2c4156354c844d4a8883be561f00 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61P9-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61K31-7048 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-02405 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4806 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-318 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-318 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61K31-7048 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61P9-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate | 2022-05-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_862c8ebe7551200349eedd69c0e1eb16 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d9f40c6ed122f07ca07ca53d0aad805d |
| publicationDate | 2022-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-2022370017-A1 |
| titleOfInvention | Personalized prediction and identification of the incidence of atrial arrhythmias from other cardiac rhythms |
| abstract | Provided herein is a method for diagnosing and treating a subject at risk for atrial fibrillation (AF) or related health conditions, the method including: collecting one or more physiological signals from the subject in a sleep state or an awake state; extracting time series data from the one or more physiological signals; performing dynamic analyses of the time series data using artificial intelligence, wherein the artificial intelligence calculates a series of dynamic measurements, said dynamic measurements being indicative of a probability of an onset of an abnormal atrial rhythm; providing an integrated personalized risk score including the dynamic measurements, wherein the integrated personalized risk score is indicative of a probability of an onset of AF in the subject; diagnosing the subject as being at risk for AF when the integrated personalized risk score exceeds a threshold value, wherein the threshold value is calculated by the artificial intelligence based on a library of stored data; and treating the diagnosed subject with an effective therapy to prevent or treat AF or AF-related health conditions. |
| priorityDate | 2021-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 180.