114 related articles for article (PubMed ID: 37925208)
1. Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network.
Yang W; Wang D; Fan W; Zhang G; Li C; Liu T
Artif Intell Med; 2023 Nov; 145():102680. PubMed ID: 37925208
[TBL] [Abstract][Full Text] [Related]
2. Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.
Lee HC; Chen CY; Lee SJ; Lee MC; Tsai CY; Chen ST; Li YJ
Comput Biol Med; 2022 Jul; 146():105584. PubMed ID: 35551013
[TBL] [Abstract][Full Text] [Related]
3. Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings.
Zhang P; Ma C; Sun Y; Fan G; Song F; Feng Y; Zhang G
Comput Biol Med; 2021 Dec; 139():104880. PubMed ID: 34700255
[TBL] [Abstract][Full Text] [Related]
4. Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings.
Nguyen A; Ansari S; Hooshmand M; Lin K; Ghanbari H; Gryak J; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():526-529. PubMed ID: 30440450
[TBL] [Abstract][Full Text] [Related]
5. Multi-center atrial fibrillation electrocardiogram (ECG) classification using Fourier space convolutional neural networks (FD-CNN) and transfer learning.
Vasconcelos L; Martinez BP; Kent M; Ansari S; Ghanbari H; Nenadic I
J Electrocardiol; 2023; 81():201-206. PubMed ID: 37778217
[TBL] [Abstract][Full Text] [Related]
6. TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural network.
Deng Y; Sun Q; Wang C; Wang Y; Zhou SK
J Neural Eng; 2023 Jul; 20(4):. PubMed ID: 37399806
[No Abstract] [Full Text] [Related]
7. Automated inter-patient arrhythmia classification with dual attention neural network.
Lyu H; Li X; Zhang J; Zhou C; Tang X; Xu F; Yang Y; Huang Q; Xiang W; Li D
Comput Methods Programs Biomed; 2023 Jun; 236():107560. PubMed ID: 37116424
[TBL] [Abstract][Full Text] [Related]
8. [An Atrial Fibrillation Classification Method Study Based on BP Neural Network and SVM].
Liu C; Lin G; Zhou J; Ye J; Zhang X
Zhongguo Yi Liao Qi Xie Za Zhi; 2023 May; 47(3):258-263. PubMed ID: 37288624
[TBL] [Abstract][Full Text] [Related]
9. A deep convolutional neural network model to classify heartbeats.
Acharya UR; Oh SL; Hagiwara Y; Tan JH; Adam M; Gertych A; Tan RS
Comput Biol Med; 2017 Oct; 89():389-396. PubMed ID: 28869899
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Automated Atrial Fibrillation Detection Based on Feature Fusion Using Discriminant Canonical Correlation Analysis.
Shi J; Chen C; Liu H; Wang Y; Shu M; Zhu Q
Comput Math Methods Med; 2021; 2021():6691177. PubMed ID: 33897806
[TBL] [Abstract][Full Text] [Related]
12. An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification.
Wang H; Shi H; Chen X; Zhao L; Huang Y; Liu C
J Med Syst; 2019 Dec; 44(2):35. PubMed ID: 31853698
[TBL] [Abstract][Full Text] [Related]
13. Morphological Autoencoders for Beat-by-Beat Atrial Fibrillation Detection Using Single-Lead ECG.
Silva R; Fred A; Plácido da Silva H
Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36905058
[TBL] [Abstract][Full Text] [Related]
14. Atrial fibrillation detection by heart rate variability in Poincare plot.
Park J; Lee S; Jeon M
Biomed Eng Online; 2009 Dec; 8():38. PubMed ID: 20003345
[TBL] [Abstract][Full Text] [Related]
15. Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals.
Chen X; Cheng Z; Wang S; Lu G; Xv G; Liu Q; Zhu X
Comput Methods Programs Biomed; 2021 Apr; 202():106009. PubMed ID: 33631641
[TBL] [Abstract][Full Text] [Related]
16. Diagnosis of atrial fibrillation using self-complementary attentional convolutional neural network.
Li Y; Zhang L; Zhu L; Liu L; Han B; Zhang Y; Wei S
Comput Methods Programs Biomed; 2023 Aug; 238():107565. PubMed ID: 37210927
[TBL] [Abstract][Full Text] [Related]
17. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Attia ZI; Noseworthy PA; Lopez-Jimenez F; Asirvatham SJ; Deshmukh AJ; Gersh BJ; Carter RE; Yao X; Rabinstein AA; Erickson BJ; Kapa S; Friedman PA
Lancet; 2019 Sep; 394(10201):861-867. PubMed ID: 31378392
[TBL] [Abstract][Full Text] [Related]
18. Automatic classification of arrhythmias using multi-branch convolutional neural networks based on channel-based attention and bidirectional LSTM.
Liu F; Li H; Wu T; Lin H; Lin C; Han G
ISA Trans; 2023 Jul; 138():397-407. PubMed ID: 36898911
[TBL] [Abstract][Full Text] [Related]
19. A cascaded classifier for multi-lead ECG based on feature fusion.
Chen G; Hong Z; Guo Y; Pang C
Comput Methods Programs Biomed; 2019 Sep; 178():135-143. PubMed ID: 31416542
[TBL] [Abstract][Full Text] [Related]
20. A comparative study on neural networks for paroxysmal atrial fibrillation events detection from electrocardiography.
Wen H; Kang J
J Electrocardiol; 2022; 75():19-27. PubMed ID: 36272352
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
