FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309657695> ?p ?o ?g. }

• W4309657695 endingPage "124002" @default.
• W4309657695 startingPage "124002" @default.
• W4309657695 abstract "Abstract Objective . The availability of online electrocardiogram (ECG) repositories can aid researchers in developing automated cardiac abnormality diagnostic systems. Using such ECG repositories, this study aims to develop an algorithm that can assist physicians in diagnosing cardiac abnormalities. Approach . The PhysioNet/CinC 2021 Challenge has opened the venues for creating benchmark algorithms using standard and relatively diverse 12-lead ECG datasets. This work attempts to create a new machine learning approach for identifying common cardiac abnormalities using an ensemble-based classification with two models resulting from two different feature sets. The first feature set extracts RR variability based information by deploying Fourier-Bessel (FB) expansion. The second feature set is composed of time- and frequency-domains-based hand-crafted features. Two long short-term memory (LSTM)-based classifiers are trained using these two feature sets as input to categorize ECG signals. Predictions from these two models are fused to arrive at a final medical decision that improves the multi-label classification of the given ECG signals into twenty-six categories. Main results . We participated in the George B. Moody Physionet Challenge 2021 as team ’Medics’, and the proposed methodology was evaluated for all five lead combinations. The challenge scoring metrics obtained on the test data for twelve-, six-, four-, three-, and two-leads combinations are 0.360, 0.368, 0.376, 0.323, and 0.381, respectively. The proposed methodology was ranked 11th among all the follow-up entries of the Challenge. Significance . The obtained results of the proposed method justify the use of an ensemble classifier developed using the extracted feature sets for devising a diagnostic system for detecting and identifying common cardiac problems." @default.
• W4309657695 created "2022-11-29" @default.
• W4309657695 creator A5050385561 @default.
• W4309657695 creator A5064824128 @default.
• W4309657695 date "2022-12-12" @default.
• W4309657695 modified "2023-09-30" @default.
• W4309657695 title "Application of Fourier-Bessel expansion and LSTM on multi-lead ECG for cardiac abnormalities identification" @default.
• W4309657695 cites W1979126704 @default.
• W4309657695 cites W2002930002 @default.
• W4309657695 cites W2017086716 @default.
• W4309657695 cites W2033991357 @default.
• W4309657695 cites W2036282450 @default.
• W4309657695 cites W2052684427 @default.
• W4309657695 cites W2064675550 @default.
• W4309657695 cites W2108199928 @default.
• W4309657695 cites W2138290126 @default.
• W4309657695 cites W2163570218 @default.
• W4309657695 cites W2604675517 @default.
• W4309657695 cites W2913705661 @default.
• W4309657695 cites W2996303786 @default.
• W4309657695 cites W3005487465 @default.
• W4309657695 cites W3015222325 @default.
• W4309657695 cites W3098699929 @default.
• W4309657695 cites W3099085560 @default.
• W4309657695 cites W3170962448 @default.
• W4309657695 cites W4285044750 @default.
• W4309657695 doi "https://doi.org/10.1088/1361-6579/aca4b9" @default.
• W4309657695 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36410043" @default.
• W4309657695 hasPublicationYear "2022" @default.
• W4309657695 type Work @default.
• W4309657695 citedByCount "0" @default.
• W4309657695 crossrefType "journal-article" @default.
• W4309657695 hasAuthorship W4309657695A5050385561 @default.
• W4309657695 hasAuthorship W4309657695A5064824128 @default.
• W4309657695 hasConcept C116834253 @default.
• W4309657695 hasConcept C118552586 @default.
• W4309657695 hasConcept C119857082 @default.
• W4309657695 hasConcept C124101348 @default.
• W4309657695 hasConcept C13280743 @default.
• W4309657695 hasConcept C138885662 @default.
• W4309657695 hasConcept C142724271 @default.
• W4309657695 hasConcept C153180895 @default.
• W4309657695 hasConcept C154945302 @default.
• W4309657695 hasConcept C169903167 @default.
• W4309657695 hasConcept C177264268 @default.
• W4309657695 hasConcept C185798385 @default.
• W4309657695 hasConcept C199360897 @default.
• W4309657695 hasConcept C205649164 @default.
• W4309657695 hasConcept C2776401178 @default.
• W4309657695 hasConcept C41008148 @default.
• W4309657695 hasConcept C41895202 @default.
• W4309657695 hasConcept C50965678 @default.
• W4309657695 hasConcept C534262118 @default.
• W4309657695 hasConcept C58489278 @default.
• W4309657695 hasConcept C59822182 @default.
• W4309657695 hasConcept C71924100 @default.
• W4309657695 hasConcept C86803240 @default.
• W4309657695 hasConcept C94124525 @default.
• W4309657695 hasConceptScore W4309657695C116834253 @default.
• W4309657695 hasConceptScore W4309657695C118552586 @default.
• W4309657695 hasConceptScore W4309657695C119857082 @default.
• W4309657695 hasConceptScore W4309657695C124101348 @default.
• W4309657695 hasConceptScore W4309657695C13280743 @default.
• W4309657695 hasConceptScore W4309657695C138885662 @default.
• W4309657695 hasConceptScore W4309657695C142724271 @default.
• W4309657695 hasConceptScore W4309657695C153180895 @default.
• W4309657695 hasConceptScore W4309657695C154945302 @default.
• W4309657695 hasConceptScore W4309657695C169903167 @default.
• W4309657695 hasConceptScore W4309657695C177264268 @default.
• W4309657695 hasConceptScore W4309657695C185798385 @default.
• W4309657695 hasConceptScore W4309657695C199360897 @default.
• W4309657695 hasConceptScore W4309657695C205649164 @default.
• W4309657695 hasConceptScore W4309657695C2776401178 @default.
• W4309657695 hasConceptScore W4309657695C41008148 @default.
• W4309657695 hasConceptScore W4309657695C41895202 @default.
• W4309657695 hasConceptScore W4309657695C50965678 @default.
• W4309657695 hasConceptScore W4309657695C534262118 @default.
• W4309657695 hasConceptScore W4309657695C58489278 @default.
• W4309657695 hasConceptScore W4309657695C59822182 @default.
• W4309657695 hasConceptScore W4309657695C71924100 @default.
• W4309657695 hasConceptScore W4309657695C86803240 @default.
• W4309657695 hasConceptScore W4309657695C94124525 @default.
• W4309657695 hasIssue "12" @default.
• W4309657695 hasLocation W43096576951 @default.
• W4309657695 hasLocation W43096576952 @default.
• W4309657695 hasOpenAccess W4309657695 @default.
• W4309657695 hasPrimaryLocation W43096576951 @default.
• W4309657695 hasRelatedWork W2382607599 @default.
• W4309657695 hasRelatedWork W2477102200 @default.
• W4309657695 hasRelatedWork W2546942002 @default.
• W4309657695 hasRelatedWork W2970216048 @default.
• W4309657695 hasRelatedWork W3044272884 @default.
• W4309657695 hasRelatedWork W3099765033 @default.
• W4309657695 hasRelatedWork W3114272811 @default.
• W4309657695 hasRelatedWork W4225573578 @default.
• W4309657695 hasRelatedWork W4280583453 @default.
• W4309657695 hasRelatedWork W4309637067 @default.
• W4309657695 hasVolume "43" @default.

• next