Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783103686> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2783103686 abstract "Despite the recent advances in medical data organization and structuring, electronic medical records (EMRs) can often contain unstructured raw data, temporally constrained measurements, multichannel signal data and image data all of which are often difficult to compare and contrast in large quantities due to their sizes and variation. We present a proof of concept system that can alleviate this by mapping EEG data to a relatively compressed n-dimensional space where the Euclidean distance between data points as similarity measure. We optimize a deep neural network mapping by using a triplet-based loss function. A system of this type could be used by medical professionals query and explore EEG data. To verify that this clustering method learns a meaningful representation of the data, we apply a KNN classifier to the output. We achieve a 58.6% classification accuracy operating on the neural network sourced embeddings on the six class TUH EEG Cohorts dataset provided by Temple University." @default.
- W2783103686 created "2018-01-26" @default.
- W2783103686 creator A5070184582 @default.
- W2783103686 creator A5074419535 @default.
- W2783103686 creator A5081449704 @default.
- W2783103686 date "2017-12-01" @default.
- W2783103686 modified "2023-09-27" @default.
- W2783103686 title "A learned embedding space for EEG signal clustering" @default.
- W2783103686 cites W2345279893 @default.
- W2783103686 cites W2559580631 @default.
- W2783103686 cites W2560370322 @default.
- W2783103686 cites W2962852342 @default.
- W2783103686 cites W2962887033 @default.
- W2783103686 doi "https://doi.org/10.1109/spmb.2017.8257016" @default.
- W2783103686 hasPublicationYear "2017" @default.
- W2783103686 type Work @default.
- W2783103686 sameAs 2783103686 @default.
- W2783103686 citedByCount "5" @default.
- W2783103686 countsByYear W27831036862020 @default.
- W2783103686 countsByYear W27831036862021 @default.
- W2783103686 countsByYear W27831036862022 @default.
- W2783103686 crossrefType "proceedings-article" @default.
- W2783103686 hasAuthorship W2783103686A5070184582 @default.
- W2783103686 hasAuthorship W2783103686A5074419535 @default.
- W2783103686 hasAuthorship W2783103686A5081449704 @default.
- W2783103686 hasConcept C118552586 @default.
- W2783103686 hasConcept C119857082 @default.
- W2783103686 hasConcept C120174047 @default.
- W2783103686 hasConcept C124101348 @default.
- W2783103686 hasConcept C132964779 @default.
- W2783103686 hasConcept C153180895 @default.
- W2783103686 hasConcept C154945302 @default.
- W2783103686 hasConcept C15744967 @default.
- W2783103686 hasConcept C186450821 @default.
- W2783103686 hasConcept C199360897 @default.
- W2783103686 hasConcept C202444582 @default.
- W2783103686 hasConcept C33923547 @default.
- W2783103686 hasConcept C41008148 @default.
- W2783103686 hasConcept C41608201 @default.
- W2783103686 hasConcept C50644808 @default.
- W2783103686 hasConcept C522805319 @default.
- W2783103686 hasConcept C73555534 @default.
- W2783103686 hasConcept C95623464 @default.
- W2783103686 hasConceptScore W2783103686C118552586 @default.
- W2783103686 hasConceptScore W2783103686C119857082 @default.
- W2783103686 hasConceptScore W2783103686C120174047 @default.
- W2783103686 hasConceptScore W2783103686C124101348 @default.
- W2783103686 hasConceptScore W2783103686C132964779 @default.
- W2783103686 hasConceptScore W2783103686C153180895 @default.
- W2783103686 hasConceptScore W2783103686C154945302 @default.
- W2783103686 hasConceptScore W2783103686C15744967 @default.
- W2783103686 hasConceptScore W2783103686C186450821 @default.
- W2783103686 hasConceptScore W2783103686C199360897 @default.
- W2783103686 hasConceptScore W2783103686C202444582 @default.
- W2783103686 hasConceptScore W2783103686C33923547 @default.
- W2783103686 hasConceptScore W2783103686C41008148 @default.
- W2783103686 hasConceptScore W2783103686C41608201 @default.
- W2783103686 hasConceptScore W2783103686C50644808 @default.
- W2783103686 hasConceptScore W2783103686C522805319 @default.
- W2783103686 hasConceptScore W2783103686C73555534 @default.
- W2783103686 hasConceptScore W2783103686C95623464 @default.
- W2783103686 hasLocation W27831036861 @default.
- W2783103686 hasOpenAccess W2783103686 @default.
- W2783103686 hasPrimaryLocation W27831036861 @default.
- W2783103686 hasRelatedWork W1530370346 @default.
- W2783103686 hasRelatedWork W2021259591 @default.
- W2783103686 hasRelatedWork W2570873234 @default.
- W2783103686 hasRelatedWork W2943227802 @default.
- W2783103686 hasRelatedWork W2964160020 @default.
- W2783103686 hasRelatedWork W2965266312 @default.
- W2783103686 hasRelatedWork W2970579898 @default.
- W2783103686 hasRelatedWork W3009180679 @default.
- W2783103686 hasRelatedWork W3011105338 @default.
- W2783103686 hasRelatedWork W3016082456 @default.
- W2783103686 hasRelatedWork W3048601286 @default.
- W2783103686 hasRelatedWork W3070378447 @default.
- W2783103686 hasRelatedWork W3097417006 @default.
- W2783103686 hasRelatedWork W3118354935 @default.
- W2783103686 hasRelatedWork W3120179453 @default.
- W2783103686 hasRelatedWork W3148095804 @default.
- W2783103686 hasRelatedWork W3171011819 @default.
- W2783103686 hasRelatedWork W3198121079 @default.
- W2783103686 hasRelatedWork W3201317166 @default.
- W2783103686 hasRelatedWork W2751038478 @default.
- W2783103686 isParatext "false" @default.
- W2783103686 isRetracted "false" @default.
- W2783103686 magId "2783103686" @default.
- W2783103686 workType "article" @default.