| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0fc2a22a9271507062ad7e07974d3c58 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-726 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4812
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4815
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4806
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7225
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7235
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-374
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-291
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-374
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2006-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_27f822fab67844b8742c506a9cdf3ec0 |
| publicationDate |
2008-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-1885237-A2 |
| titleOfInvention |
Automated detection of sleep and waking states |
| abstract |
Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9820663-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-9364163-B2 |
| priorityDate |
2005-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |