FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383375672> ?p ?o ?g. }

• W4383375672 endingPage "2954" @default.
• W4383375672 startingPage "2954" @default.
• W4383375672 abstract "Cyclic Alternating Pattern (CAP) is a sleep instability marker defined based on the amplitude and frequency of the electroencephalogram signal. Because of the time and intensive process of labeling the data, different machine learning and automatic approaches are proposed. However, due to the low accuracy of the traditional approach and the black box approach of the machine learning approach, the proposed systems remain untrusted by the physician. This study contributes to accurately estimating CAP in a Frequency-Time domain by A-phase and its subtypes prediction by transforming the monopolar deviated electroencephalogram signals into corresponding scalograms. Subsequently, various computer vision classifiers were tested for the A-phase using scalogram images. It was found that MobileNetV2 outperformed all other tested classifiers by achieving the average accuracy, sensitivity, and specificity values of 0.80, 0.75, and 0.81, respectively. The MobileNetV2 trained model was further fine-tuned for A-phase subtypes prediction. To further verify the visual ability of the trained models, Gradcam++ was employed to identify the targeted regions by the trained network. It was verified that the areas identified by the model match the regions focused on by the sleep experts for A-phase predictions, thereby proving its clinical viability and robustness. This motivates the development of novel deep learning based methods for CAP patterns predictions." @default.
• W4383375672 created "2023-07-07" @default.
• W4383375672 creator A5046020340 @default.
• W4383375672 creator A5054571372 @default.
• W4383375672 creator A5062543897 @default.
• W4383375672 creator A5083968722 @default.
• W4383375672 creator A5084954866 @default.
• W4383375672 date "2023-07-05" @default.
• W4383375672 modified "2023-09-29" @default.
• W4383375672 title "Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alternating Patterns Using Wavelet Transforms" @default.
• W4383375672 cites W1975128774 @default.
• W4383375672 cites W1981376770 @default.
• W4383375672 cites W2036249705 @default.
• W4383375672 cites W2062930223 @default.
• W4383375672 cites W2062949433 @default.
• W4383375672 cites W2075658120 @default.
• W4383375672 cites W2097117768 @default.
• W4383375672 cites W2106287462 @default.
• W4383375672 cites W2149024119 @default.
• W4383375672 cites W2183341477 @default.
• W4383375672 cites W2194775991 @default.
• W4383375672 cites W2611695796 @default.
• W4383375672 cites W2618530766 @default.
• W4383375672 cites W2765793020 @default.
• W4383375672 cites W2791419972 @default.
• W4383375672 cites W2794284562 @default.
• W4383375672 cites W2795657619 @default.
• W4383375672 cites W2806390868 @default.
• W4383375672 cites W2896396850 @default.
• W4383375672 cites W2915279277 @default.
• W4383375672 cites W2915346629 @default.
• W4383375672 cites W2945968413 @default.
• W4383375672 cites W2962834855 @default.
• W4383375672 cites W2963163009 @default.
• W4383375672 cites W2963446712 @default.
• W4383375672 cites W2963918968 @default.
• W4383375672 cites W2967756208 @default.
• W4383375672 cites W3107182221 @default.
• W4383375672 cites W3144711596 @default.
• W4383375672 cites W3158982748 @default.
• W4383375672 cites W3192023667 @default.
• W4383375672 cites W3210879304 @default.
• W4383375672 cites W4295428959 @default.
• W4383375672 cites W4295435456 @default.
• W4383375672 cites W4360798619 @default.
• W4383375672 doi "https://doi.org/10.3390/electronics12132954" @default.
• W4383375672 hasPublicationYear "2023" @default.
• W4383375672 type Work @default.
• W4383375672 citedByCount "0" @default.
• W4383375672 crossrefType "journal-article" @default.
• W4383375672 hasAuthorship W4383375672A5046020340 @default.
• W4383375672 hasAuthorship W4383375672A5054571372 @default.
• W4383375672 hasAuthorship W4383375672A5062543897 @default.
• W4383375672 hasAuthorship W4383375672A5083968722 @default.
• W4383375672 hasAuthorship W4383375672A5084954866 @default.
• W4383375672 hasBestOaLocation W43833756721 @default.
• W4383375672 hasConcept C104317684 @default.
• W4383375672 hasConcept C108583219 @default.
• W4383375672 hasConcept C118552586 @default.
• W4383375672 hasConcept C119857082 @default.
• W4383375672 hasConcept C127413603 @default.
• W4383375672 hasConcept C153180895 @default.
• W4383375672 hasConcept C154945302 @default.
• W4383375672 hasConcept C15744967 @default.
• W4383375672 hasConcept C168820333 @default.
• W4383375672 hasConcept C185592680 @default.
• W4383375672 hasConcept C196216189 @default.
• W4383375672 hasConcept C21200559 @default.
• W4383375672 hasConcept C24326235 @default.
• W4383375672 hasConcept C41008148 @default.
• W4383375672 hasConcept C47432892 @default.
• W4383375672 hasConcept C522805319 @default.
• W4383375672 hasConcept C55493867 @default.
• W4383375672 hasConcept C63479239 @default.
• W4383375672 hasConceptScore W4383375672C104317684 @default.
• W4383375672 hasConceptScore W4383375672C108583219 @default.
• W4383375672 hasConceptScore W4383375672C118552586 @default.
• W4383375672 hasConceptScore W4383375672C119857082 @default.
• W4383375672 hasConceptScore W4383375672C127413603 @default.
• W4383375672 hasConceptScore W4383375672C153180895 @default.
• W4383375672 hasConceptScore W4383375672C154945302 @default.
• W4383375672 hasConceptScore W4383375672C15744967 @default.
• W4383375672 hasConceptScore W4383375672C168820333 @default.
• W4383375672 hasConceptScore W4383375672C185592680 @default.
• W4383375672 hasConceptScore W4383375672C196216189 @default.
• W4383375672 hasConceptScore W4383375672C21200559 @default.
• W4383375672 hasConceptScore W4383375672C24326235 @default.
• W4383375672 hasConceptScore W4383375672C41008148 @default.
• W4383375672 hasConceptScore W4383375672C47432892 @default.
• W4383375672 hasConceptScore W4383375672C522805319 @default.
• W4383375672 hasConceptScore W4383375672C55493867 @default.
• W4383375672 hasConceptScore W4383375672C63479239 @default.
• W4383375672 hasIssue "13" @default.
• W4383375672 hasLocation W43833756721 @default.
• W4383375672 hasOpenAccess W4383375672 @default.
• W4383375672 hasPrimaryLocation W43833756721 @default.
• W4383375672 hasRelatedWork W2773120646 @default.
• W4383375672 hasRelatedWork W3014300295 @default.

• next