Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313404435> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4313404435 endingPage "12957" @default.
- W4313404435 startingPage "12957" @default.
- W4313404435 abstract "Cardiovascular disease and its consequences on human health have never stopped and even show a trend of appearing in increasingly younger generations. The establishment of an excellent deep learning algorithm model to assist physicians in identifying and the early screening of ECG abnormalities can effectively improve the accuracy of diagnosis. Therefore, in this study, the deep residual network model is adapted for feature extraction and classification of ECG signals by pooling embedded into layers and double channel connection. At the same time, the wavelet adaptive threshold denoising algorithm is used to complete the high signal-to-noise filtering of ECG signals. Then, the alternate pooling residual network (APRN) is compared with the convolutional neural network (CNN), CNN with one residual unit (CNN-R), and the deep residual network (ResNet-18) using ECG datasets from the American MIT-BIH arrhythmia and ST segment abnormality database, European ST-T database, and sudden cardiac death ambulatory ECG database. The results are as follows: The average classification accuracy of the APRN on the four datasets is 97.89%, while the accuracies on CNN, CNN-R, and ResNet-18 are 97.17%, 97.53%, and 97.73%, respectively. In addition, compared with ResNet-18, the classification accuracy of our APRN on each class of data improves by 16.44% in total." @default.
- W4313404435 created "2023-01-06" @default.
- W4313404435 creator A5017901059 @default.
- W4313404435 creator A5019030185 @default.
- W4313404435 creator A5028330071 @default.
- W4313404435 creator A5035608960 @default.
- W4313404435 creator A5056437521 @default.
- W4313404435 date "2022-12-16" @default.
- W4313404435 modified "2023-09-26" @default.
- W4313404435 title "Improving ECG Classification Performance by Using an Optimized One-Dimensional Residual Network Model" @default.
- W4313404435 cites W1988790447 @default.
- W4313404435 cites W2004804665 @default.
- W4313404435 cites W2016023958 @default.
- W4313404435 cites W2054510156 @default.
- W4313404435 cites W2095409369 @default.
- W4313404435 cites W2117736816 @default.
- W4313404435 cites W2122111042 @default.
- W4313404435 cites W2146254945 @default.
- W4313404435 cites W2291961022 @default.
- W4313404435 cites W2336675008 @default.
- W4313404435 cites W2512426799 @default.
- W4313404435 cites W2544197537 @default.
- W4313404435 cites W2552926193 @default.
- W4313404435 cites W2567881713 @default.
- W4313404435 cites W2604926040 @default.
- W4313404435 cites W2756724598 @default.
- W4313404435 cites W2775521641 @default.
- W4313404435 cites W2799460054 @default.
- W4313404435 cites W2806806521 @default.
- W4313404435 cites W2807364989 @default.
- W4313404435 cites W2884754815 @default.
- W4313404435 cites W2911964244 @default.
- W4313404435 cites W2948128401 @default.
- W4313404435 cites W2965307660 @default.
- W4313404435 cites W2980825080 @default.
- W4313404435 cites W2981704194 @default.
- W4313404435 cites W2990824807 @default.
- W4313404435 cites W2998926001 @default.
- W4313404435 cites W3008093244 @default.
- W4313404435 cites W3016369805 @default.
- W4313404435 cites W3042272739 @default.
- W4313404435 cites W3099132019 @default.
- W4313404435 cites W3109792898 @default.
- W4313404435 cites W3179272827 @default.
- W4313404435 cites W3208343828 @default.
- W4313404435 doi "https://doi.org/10.3390/app122412957" @default.
- W4313404435 hasPublicationYear "2022" @default.
- W4313404435 type Work @default.
- W4313404435 citedByCount "0" @default.
- W4313404435 crossrefType "journal-article" @default.
- W4313404435 hasAuthorship W4313404435A5017901059 @default.
- W4313404435 hasAuthorship W4313404435A5019030185 @default.
- W4313404435 hasAuthorship W4313404435A5028330071 @default.
- W4313404435 hasAuthorship W4313404435A5035608960 @default.
- W4313404435 hasAuthorship W4313404435A5056437521 @default.
- W4313404435 hasBestOaLocation W43134044351 @default.
- W4313404435 hasConcept C108583219 @default.
- W4313404435 hasConcept C11413529 @default.
- W4313404435 hasConcept C124101348 @default.
- W4313404435 hasConcept C153180895 @default.
- W4313404435 hasConcept C154945302 @default.
- W4313404435 hasConcept C155512373 @default.
- W4313404435 hasConcept C41008148 @default.
- W4313404435 hasConcept C52622490 @default.
- W4313404435 hasConcept C70437156 @default.
- W4313404435 hasConcept C81363708 @default.
- W4313404435 hasConceptScore W4313404435C108583219 @default.
- W4313404435 hasConceptScore W4313404435C11413529 @default.
- W4313404435 hasConceptScore W4313404435C124101348 @default.
- W4313404435 hasConceptScore W4313404435C153180895 @default.
- W4313404435 hasConceptScore W4313404435C154945302 @default.
- W4313404435 hasConceptScore W4313404435C155512373 @default.
- W4313404435 hasConceptScore W4313404435C41008148 @default.
- W4313404435 hasConceptScore W4313404435C52622490 @default.
- W4313404435 hasConceptScore W4313404435C70437156 @default.
- W4313404435 hasConceptScore W4313404435C81363708 @default.
- W4313404435 hasFunder F4320321001 @default.
- W4313404435 hasIssue "24" @default.
- W4313404435 hasLocation W43134044351 @default.
- W4313404435 hasLocation W43134044352 @default.
- W4313404435 hasLocation W43134044353 @default.
- W4313404435 hasOpenAccess W4313404435 @default.
- W4313404435 hasPrimaryLocation W43134044351 @default.
- W4313404435 hasRelatedWork W2279398222 @default.
- W4313404435 hasRelatedWork W2517027266 @default.
- W4313404435 hasRelatedWork W2731899572 @default.
- W4313404435 hasRelatedWork W3133861977 @default.
- W4313404435 hasRelatedWork W3156786002 @default.
- W4313404435 hasRelatedWork W4200173597 @default.
- W4313404435 hasRelatedWork W4299822940 @default.
- W4313404435 hasRelatedWork W4312417841 @default.
- W4313404435 hasRelatedWork W4321369474 @default.
- W4313404435 hasRelatedWork W4366492315 @default.
- W4313404435 hasVolume "12" @default.
- W4313404435 isParatext "false" @default.
- W4313404435 isRetracted "false" @default.
- W4313404435 workType "article" @default.