| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f5f38e7534f1f9389859c8a9ea58592e |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2230-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-3334 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4839
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4848
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0871
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-091 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-087
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-091 |
| filingDate |
2022-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_37f80aa3c1b48719ea0dcc85a3e48ba7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e27173a90ae838f7234064a323e43d0f |
| publicationDate |
2022-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2022268884-A1 |
| titleOfInvention |
Method and system to quantify and predict changes in lung function |
| abstract |
The present invention relates to a system and method to diagnose and predict an exacerbation for an individual, using electronically monitored expiratory lung function data and electronically monitored timing of inhalation of a bronchodilator. The method comprises the steps of computing a reference value or resting state value of at least one parameter indicating expiratory lung function of an individual, determining responsiveness of the individual to a bronchodilator using a non-linear time- series regression model, and estimation of amplitude and phase of the diurnal variation of the parameter for the individual using a regression analysis model. The reference value, responsiveness to bronchodilator, and the phase and amplitude of diurnal variation, are used to diagnose and predict occurrences of exacerbations for the individual. |
| priorityDate |
2021-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |