| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c72d118f5664072de841f9c5c34b9d99 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0836
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-021
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-02055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-201
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-002
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0022
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14542
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14532
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-746
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-202
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0816
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-021
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-145
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-083 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-08 |
| filingDate |
2013-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2017-09-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_453c343a50c93c58c111b4f763ddef20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2a37324285ac65ffff3bf906456f9c3a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43cf0a43030c15c0badab9d4fd6f474c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8acbf87e72296d196bd8dd8e1c8ef46a |
| publicationDate |
2017-09-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-9750463-B2 |
| titleOfInvention |
Respiratory stress detection |
| abstract |
Embodiments of the disclosure are directed to a system for analysis of respiratory distress in hospitalized patients. The system performs multi-parametric simultaneous analysis of respiration rate (RR) and pulse oximetry (SpO 2 ) data trends in order to gauge patterns of patient instability pertaining to respiratory distress. Three patterns in SpO 2 and RR are used along with LOWESS algorithm and Chauvenets criteria for outlier rejection to obtain robust short term and long term trends in RR and SpO 2 . Pattern analysis detects the presence of any one of three pattern types proposed. Further, a learning paradigm is introduced to find unknown instances of respiratory distress. This algorithm in conjunction with the learning model allows early detection of respiratory distress in hospital ward and ICU patients. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11679217-B2 |
| priorityDate |
2013-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |