Matches in SemOpenAlex for { <https://semopenalex.org/work/W2755436114> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2755436114 abstract "Millions of people around the world suffer from epilepsy. It is very important to provide a method to efficiently monitor the seizures and alert the caregivers to help patients. It is proven that EEG signals are the best markers for diagnosis of the epileptic seizures. In this paper, we used the frequency domain features (normalized in-band power spectral density) to extract information from EEG signals. We applied a deep learning technique based on multilayer perceptrons to improve the accuracy of seizure detection. The results indicate that our nonlinear technique is able to efficiently and automatically detect seizure and non-seizure episodes with an F-measure accuracy of around 95%." @default.
- W2755436114 created "2017-09-25" @default.
- W2755436114 creator A5014961146 @default.
- W2755436114 creator A5040401289 @default.
- W2755436114 creator A5075925641 @default.
- W2755436114 date "2017-08-01" @default.
- W2755436114 modified "2023-09-30" @default.
- W2755436114 title "Automated EEG-Based Epileptic Seizure Detection Using Deep Neural Networks" @default.
- W2755436114 cites W1922842438 @default.
- W2755436114 cites W1999798000 @default.
- W2755436114 cites W2133990480 @default.
- W2755436114 cites W2156480002 @default.
- W2755436114 cites W2162800060 @default.
- W2755436114 cites W2512304460 @default.
- W2755436114 cites W2580305911 @default.
- W2755436114 cites W2610752905 @default.
- W2755436114 cites W2613502521 @default.
- W2755436114 cites W2627799415 @default.
- W2755436114 cites W4296131464 @default.
- W2755436114 doi "https://doi.org/10.1109/ichi.2017.55" @default.
- W2755436114 hasPublicationYear "2017" @default.
- W2755436114 type Work @default.
- W2755436114 sameAs 2755436114 @default.
- W2755436114 citedByCount "37" @default.
- W2755436114 countsByYear W27554361142018 @default.
- W2755436114 countsByYear W27554361142019 @default.
- W2755436114 countsByYear W27554361142020 @default.
- W2755436114 countsByYear W27554361142021 @default.
- W2755436114 countsByYear W27554361142022 @default.
- W2755436114 countsByYear W27554361142023 @default.
- W2755436114 crossrefType "proceedings-article" @default.
- W2755436114 hasAuthorship W2755436114A5014961146 @default.
- W2755436114 hasAuthorship W2755436114A5040401289 @default.
- W2755436114 hasAuthorship W2755436114A5075925641 @default.
- W2755436114 hasConcept C108583219 @default.
- W2755436114 hasConcept C153180895 @default.
- W2755436114 hasConcept C154945302 @default.
- W2755436114 hasConcept C15744967 @default.
- W2755436114 hasConcept C169760540 @default.
- W2755436114 hasConcept C2778186239 @default.
- W2755436114 hasConcept C2779334592 @default.
- W2755436114 hasConcept C28490314 @default.
- W2755436114 hasConcept C41008148 @default.
- W2755436114 hasConcept C50644808 @default.
- W2755436114 hasConcept C522805319 @default.
- W2755436114 hasConcept C52622490 @default.
- W2755436114 hasConcept C60908668 @default.
- W2755436114 hasConceptScore W2755436114C108583219 @default.
- W2755436114 hasConceptScore W2755436114C153180895 @default.
- W2755436114 hasConceptScore W2755436114C154945302 @default.
- W2755436114 hasConceptScore W2755436114C15744967 @default.
- W2755436114 hasConceptScore W2755436114C169760540 @default.
- W2755436114 hasConceptScore W2755436114C2778186239 @default.
- W2755436114 hasConceptScore W2755436114C2779334592 @default.
- W2755436114 hasConceptScore W2755436114C28490314 @default.
- W2755436114 hasConceptScore W2755436114C41008148 @default.
- W2755436114 hasConceptScore W2755436114C50644808 @default.
- W2755436114 hasConceptScore W2755436114C522805319 @default.
- W2755436114 hasConceptScore W2755436114C52622490 @default.
- W2755436114 hasConceptScore W2755436114C60908668 @default.
- W2755436114 hasLocation W27554361141 @default.
- W2755436114 hasOpenAccess W2755436114 @default.
- W2755436114 hasPrimaryLocation W27554361141 @default.
- W2755436114 hasRelatedWork W1986338346 @default.
- W2755436114 hasRelatedWork W2053746507 @default.
- W2755436114 hasRelatedWork W2092364397 @default.
- W2755436114 hasRelatedWork W2144059113 @default.
- W2755436114 hasRelatedWork W2146076056 @default.
- W2755436114 hasRelatedWork W2544144554 @default.
- W2755436114 hasRelatedWork W2800575390 @default.
- W2755436114 hasRelatedWork W2811390910 @default.
- W2755436114 hasRelatedWork W3175684100 @default.
- W2755436114 hasRelatedWork W2296457990 @default.
- W2755436114 isParatext "false" @default.
- W2755436114 isRetracted "false" @default.
- W2755436114 magId "2755436114" @default.
- W2755436114 workType "article" @default.