140 related articles for article (PubMed ID: 36086342)
1. Effective Data Augmentation, Filters, and Automation Techniques for Automatic 12-Lead ECG Classification Using Deep Residual Neural Networks.
An J; Gregg RE; Borhani S
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1283-1287. PubMed ID: 36086342
[TBL] [Abstract][Full Text] [Related]
2. Robustness of Deep Learning models in electrocardiogram noise detection and classification.
Rahman S; Pal S; Yearwood J; Karmakar C
Comput Methods Programs Biomed; 2024 Aug; 253():108249. PubMed ID: 38815528
[TBL] [Abstract][Full Text] [Related]
3. Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.
Dong Y; Cai W; Qiu L; Guo Y; Chen Y; Zhang M; Wang D; Zhang H; Wang L
Physiol Meas; 2022 Oct; 43(10):. PubMed ID: 35705072
[No Abstract] [Full Text] [Related]
4. Visualization deep learning model for automatic arrhythmias classification.
Jiang M; Qiu Y; Zhang W; Zhang J; Wang Z; Ke W; Wu Y; Wang Z
Physiol Meas; 2022 Aug; 43(8):. PubMed ID: 35882225
[No Abstract] [Full Text] [Related]
5. Memory Classifiers for Robust ECG Classification against Physiological Noise.
Jang KJ; Dutta S; Park J; Weimer J; Lee I
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-5. PubMed ID: 38083527
[TBL] [Abstract][Full Text] [Related]
6. Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation.
Qiu J; Oppelt MP; Nissen M; Anneken L; Breininger K; Eskofier B
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():945-949. PubMed ID: 36086450
[TBL] [Abstract][Full Text] [Related]
7. On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks.
Zhou G; Chen Y; Chien C
BMC Med Inform Decis Mak; 2022 Aug; 22(1):226. PubMed ID: 36038901
[TBL] [Abstract][Full Text] [Related]
8. Two-dimensional ECG-based cardiac arrhythmia classification using DSE-ResNet.
Li J; Pang SP; Xu F; Ji P; Zhou S; Shu M
Sci Rep; 2022 Aug; 12(1):14485. PubMed ID: 36008568
[TBL] [Abstract][Full Text] [Related]
9. Recurrence Plot-Based Approach for Cardiac Arrhythmia Classification Using Inception-ResNet-v2.
Zhang H; Liu C; Zhang Z; Xing Y; Liu X; Dong R; He Y; Xia L; Liu F
Front Physiol; 2021; 12():648950. PubMed ID: 34079470
[TBL] [Abstract][Full Text] [Related]
10. Classification of multi-lead ECG with deep residual convolutional neural networks.
Cai W; Liu F; Xu B; Wang X; Hu S; Wang M
Physiol Meas; 2022 Jul; 43(7):. PubMed ID: 35705071
[No Abstract] [Full Text] [Related]
11. Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems.
Park J; An J; Kim J; Jung S; Gil Y; Jang Y; Lee K; Oh IY
Comput Methods Programs Biomed; 2022 Feb; 214():106521. PubMed ID: 34844765
[TBL] [Abstract][Full Text] [Related]
12. Transfer Learning in ECG Classification from Human to Horse Using a Novel Parallel Neural Network Architecture.
Van Steenkiste G; van Loon G; Crevecoeur G
Sci Rep; 2020 Jan; 10(1):186. PubMed ID: 31932667
[TBL] [Abstract][Full Text] [Related]
13. A novel deep learning package for electrocardiography research.
Wen H; Kang J
Physiol Meas; 2022 Nov; 43(11):. PubMed ID: 36137539
[No Abstract] [Full Text] [Related]
14. Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss.
Romdhane TF; Alhichri H; Ouni R; Atri M
Comput Biol Med; 2020 Aug; 123():103866. PubMed ID: 32658786
[TBL] [Abstract][Full Text] [Related]
15. Using the VQ-VAE to improve the recognition of abnormalities in short-duration 12-lead electrocardiogram records.
Liu H; Zhao Z; Chen X; Yu R; She Q
Comput Methods Programs Biomed; 2020 Nov; 196():105639. PubMed ID: 32674047
[TBL] [Abstract][Full Text] [Related]
16. Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.
van de Leur RR; Blom LJ; Gavves E; Hof IE; van der Heijden JF; Clappers NC; Doevendans PA; Hassink RJ; van Es R
J Am Heart Assoc; 2020 May; 9(10):e015138. PubMed ID: 32406296
[TBL] [Abstract][Full Text] [Related]
17. A new approach for arrhythmia classification using deep coded features and LSTM networks.
Yildirim O; Baloglu UB; Tan RS; Ciaccio EJ; Acharya UR
Comput Methods Programs Biomed; 2019 Jul; 176():121-133. PubMed ID: 31200900
[TBL] [Abstract][Full Text] [Related]
18. Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network.
Cai W; Chen Y; Guo J; Han B; Shi Y; Ji L; Wang J; Zhang G; Luo J
Comput Biol Med; 2020 Jan; 116():103378. PubMed ID: 31778896
[TBL] [Abstract][Full Text] [Related]
19. Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG.
Plesinger F; Nejedly P; Viscor I; Halamek J; Jurak P
Physiol Meas; 2018 Sep; 39(9):094002. PubMed ID: 30102251
[TBL] [Abstract][Full Text] [Related]
20. Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.
Niu J; Tang Y; Sun Z; Zhang W
IEEE J Biomed Health Inform; 2020 May; 24(5):1321-1332. PubMed ID: 31545750
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]