| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_64df576ad8acd6af9c954a2f7937bc13 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-0204 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7455
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0823
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0826
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7282
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-113
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4818
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B7-003
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14551 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-113
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-1455 |
| filingDate |
2017-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93018d2632f9e3c0495bdbaf5b92cb10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ada5bf7d9e2d9ee34e3a6790f922fd52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a2400c127fce540ff16afc80701e6b6c |
| publicationDate |
2019-06-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2019167186-A1 |
| titleOfInvention |
Method and System for Identifying Respiratory Events |
| abstract |
The present disclosure relates to a method and a system for examining respiratory disorders whereby signals coming from the examined person are recorded by means of a wireless sensor equipped with a microphone and an accelerometer and then sent to a monitoring station. The monitoring station receives a digital data stream from the wireless sensor, cuts out respiratory episodes from the signal and, using a classification assembly constructed from three independent detection modules, classifies a respiratory episode as being normal or as snoring as well as determines the occurrence of apnoea. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111345782-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11647921-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11298101-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019254571-A1 |
| priorityDate |
2016-04-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |