Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386396976> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4386396976 endingPage "2316" @default.
- W4386396976 startingPage "2301" @default.
- W4386396976 abstract "Sleep spindles are an electroencephalogram (EEG) biomarker of non-rapid eye movement (NREM) sleep and have important implications for clinical diagnosis and prognosis. However, it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms. To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation, this study proposes a new automatic detection algorithm based on Matching Pursuit (MP) and Least Squares Boosting (LSBoost), where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians. Specifically, MP is a time-frequency analysis method suitable for extracting spindle wave characteristics, which can accurately locate spindle waves on a time-frequency plane. LSBoost is an ensemble learning classification method to deal with unbalanced data. Initially, the MP method is used to search for EEG segments that are possible spindle waves from the filtered raw EEG data. Then, the designed feature segments are thrown into the LSBoost classifier to further identify the real spindles from all candidates and output the final results. The proposed method is verified on the common public dataset DREAMS. The experiment results show that the sensitivity and F1-scores based on the sample-based assessments achieve 68.2% and 55.4%, respectively. Furthermore, the Recall and F1-score based on the event assessments are 83.8% and 70.8%, respectively. These results show that the proposed algorithm is robust to the subject changes in the DREAMS dataset. In addition, it improves the quality of sleep spindle detection, which is expected to assist the manual marking of experts." @default.
- W4386396976 created "2023-09-03" @default.
- W4386396976 creator A5023225646 @default.
- W4386396976 creator A5024633742 @default.
- W4386396976 creator A5026928088 @default.
- W4386396976 creator A5027475930 @default.
- W4386396976 creator A5034269631 @default.
- W4386396976 creator A5042081064 @default.
- W4386396976 creator A5052079787 @default.
- W4386396976 creator A5065911421 @default.
- W4386396976 creator A5086529957 @default.
- W4386396976 date "2023-01-01" @default.
- W4386396976 modified "2023-10-17" @default.
- W4386396976 title "An Efficient Sleep Spindle Detection Algorithm Based on MP and LSBoost" @default.
- W4386396976 doi "https://doi.org/10.32604/cmc.2023.037727" @default.
- W4386396976 hasPublicationYear "2023" @default.
- W4386396976 type Work @default.
- W4386396976 citedByCount "0" @default.
- W4386396976 crossrefType "journal-article" @default.
- W4386396976 hasAuthorship W4386396976A5023225646 @default.
- W4386396976 hasAuthorship W4386396976A5024633742 @default.
- W4386396976 hasAuthorship W4386396976A5026928088 @default.
- W4386396976 hasAuthorship W4386396976A5027475930 @default.
- W4386396976 hasAuthorship W4386396976A5034269631 @default.
- W4386396976 hasAuthorship W4386396976A5042081064 @default.
- W4386396976 hasAuthorship W4386396976A5052079787 @default.
- W4386396976 hasAuthorship W4386396976A5065911421 @default.
- W4386396976 hasAuthorship W4386396976A5086529957 @default.
- W4386396976 hasBestOaLocation W43863969761 @default.
- W4386396976 hasConcept C11413529 @default.
- W4386396976 hasConcept C118552586 @default.
- W4386396976 hasConcept C119857082 @default.
- W4386396976 hasConcept C143647101 @default.
- W4386396976 hasConcept C153050134 @default.
- W4386396976 hasConcept C153180895 @default.
- W4386396976 hasConcept C154945302 @default.
- W4386396976 hasConcept C15744967 @default.
- W4386396976 hasConcept C20566671 @default.
- W4386396976 hasConcept C28490314 @default.
- W4386396976 hasConcept C41008148 @default.
- W4386396976 hasConcept C522805319 @default.
- W4386396976 hasConcept C95623464 @default.
- W4386396976 hasConceptScore W4386396976C11413529 @default.
- W4386396976 hasConceptScore W4386396976C118552586 @default.
- W4386396976 hasConceptScore W4386396976C119857082 @default.
- W4386396976 hasConceptScore W4386396976C143647101 @default.
- W4386396976 hasConceptScore W4386396976C153050134 @default.
- W4386396976 hasConceptScore W4386396976C153180895 @default.
- W4386396976 hasConceptScore W4386396976C154945302 @default.
- W4386396976 hasConceptScore W4386396976C15744967 @default.
- W4386396976 hasConceptScore W4386396976C20566671 @default.
- W4386396976 hasConceptScore W4386396976C28490314 @default.
- W4386396976 hasConceptScore W4386396976C41008148 @default.
- W4386396976 hasConceptScore W4386396976C522805319 @default.
- W4386396976 hasConceptScore W4386396976C95623464 @default.
- W4386396976 hasIssue "2" @default.
- W4386396976 hasLocation W43863969761 @default.
- W4386396976 hasOpenAccess W4386396976 @default.
- W4386396976 hasPrimaryLocation W43863969761 @default.
- W4386396976 hasRelatedWork W1533532685 @default.
- W4386396976 hasRelatedWork W2128486394 @default.
- W4386396976 hasRelatedWork W2563096758 @default.
- W4386396976 hasRelatedWork W2794489107 @default.
- W4386396976 hasRelatedWork W2954331597 @default.
- W4386396976 hasRelatedWork W2965401313 @default.
- W4386396976 hasRelatedWork W2979421973 @default.
- W4386396976 hasRelatedWork W4375851565 @default.
- W4386396976 hasRelatedWork W4386053843 @default.
- W4386396976 hasRelatedWork W3158004940 @default.
- W4386396976 hasVolume "76" @default.
- W4386396976 isParatext "false" @default.
- W4386396976 isRetracted "false" @default.
- W4386396976 workType "article" @default.