| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2b170a997f9d642010c1428b2b285b73 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F9-542
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4094
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4848
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-374
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0476
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-63
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7225 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F9-54
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2020-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_afca2ce6229a3d5098c637c04afa007b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f1d2a1d6f2b5d37ea0ee31c2765a9b83
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a701cc7c4230889c7a2612d59c6a6303
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cdbc7db1a93337b9061a4f44dbec33a8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_77a36d53cc9c9c86d8df187609a2056f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_810fa233fa5bb12df9d333a3500e347b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_868c318c3afb372708cfc8135773af62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_56e9f17f45a6fe89cae582196b051018 |
| publicationDate |
2021-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021085235-A1 |
| titleOfInvention |
Systems and methods for seizure prediction and detection |
| abstract |
The present disclosure provides systems and methods for seizure detection. The method for seizure detection may include receiving a plurality of electroencephalography (EEG) signals over a plurality of channels for a subject, preprocessing the plurality of EEG signals by segmenting the plurality of EEG signals for each channel into a plurality of temporal data segments, extracting a plurality of features from each temporal data segment for each channel, and applying a machine learning algorithm to the plurality of features to perform a seizure binary classification for each temporal data segment for each channel. A control policy may be employed to determine a seizure burden on the aggregated seizure binary classifications. When the seizure burden is equal to or exceeds a threshold, a notification may be generated. The notification may be usable by a healthcare practitioner to assess whether the subject may be at risk of having a seizure. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023137400-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023166493-A1 |
| priorityDate |
2019-09-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |