| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_93a6d126667c54dde133084296d6d278
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7291cb2057e396f6275672b31837e51d |
| classificationCPCAdditional |
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/G16H50-50 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4818
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4803
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7278
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B7-003 |
| 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/A61B5-08 |
| filingDate |
2017-07-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7fe144ab83c975e61e78de27fd90e117
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dceeb4cf88fdfb6695dc41953fbde467
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d729ed105cf3a7a0ffa21b17af9f6b42
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_504f2056c5a2574d7806f7d5da4b5883 |
| publicationDate |
2018-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2018011794-A1 |
| titleOfInvention |
Methods and systems for estimation of obstructive sleep apnea severity in wake subjects by multiple speech analyses |
| abstract |
Provided herein is a method and system for the estimation of apnea-hypopnea index (AHI), as an indicator for Obstructive sleep apnea (OSA) severity, by combining speech descriptors from three separate and distinct speech signal domains. These domains include the acoustic short-term features (STF) of continuous speech, the long-term features (LTF) of continuous speech, and features of sustained vowels (SVF). Combining these speech descriptors may provide the ability to estimate the severity of OSA using statistical learning and speech analysis approaches. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112190253-A |
| priorityDate |
2016-07-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |