139 related articles for article (PubMed ID: 31664990)
1. Atrial fibrillation classification based on convolutional neural networks.
Lee KS; Jung S; Gil Y; Son HS
BMC Med Inform Decis Mak; 2019 Oct; 19(1):206. PubMed ID: 31664990
[TBL] [Abstract][Full Text] [Related]
2. Detecting atrial fibrillation by deep convolutional neural networks.
Xia Y; Wulan N; Wang K; Zhang H
Comput Biol Med; 2018 Feb; 93():84-92. PubMed ID: 29291535
[TBL] [Abstract][Full Text] [Related]
3. Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.
Erdenebayar U; Kim H; Park JU; Kang D; Lee KJ
J Korean Med Sci; 2019 Feb; 34(7):e64. PubMed ID: 30804732
[TBL] [Abstract][Full Text] [Related]
4. ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network.
Xiong Z; Nash MP; Cheng E; Fedorov VV; Stiles MK; Zhao J
Physiol Meas; 2018 Sep; 39(9):094006. PubMed ID: 30102248
[TBL] [Abstract][Full Text] [Related]
5. Atrial Fibrillation Detection with Single-Lead Electrocardiogram Based on Temporal Convolutional Network-ResNet.
Zhao X; Zhou R; Ning L; Guo Q; Liang Y; Yang J
Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257491
[TBL] [Abstract][Full Text] [Related]
6. AFibNet: an implementation of atrial fibrillation detection with convolutional neural network.
Tutuko B; Nurmaini S; Tondas AE; Rachmatullah MN; Darmawahyuni A; Esafri R; Firdaus F; Sapitri AI
BMC Med Inform Decis Mak; 2021 Jul; 21(1):216. PubMed ID: 34261486
[TBL] [Abstract][Full Text] [Related]
7. A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet Transform.
Wu Z; Feng X; Yang C
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1908-1912. PubMed ID: 31946271
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
Kwon S; Hong J; Choi EK; Lee E; Hostallero DE; Kang WJ; Lee B; Jeong ER; Koo BK; Oh S; Yi Y
JMIR Mhealth Uhealth; 2019 Jun; 7(6):e12770. PubMed ID: 31199302
[TBL] [Abstract][Full Text] [Related]
9. Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings.
Rubin J; Parvaneh S; Rahman A; Conroy B; Babaeizadeh S
J Electrocardiol; 2018; 51(6S):S18-S21. PubMed ID: 30122456
[TBL] [Abstract][Full Text] [Related]
10. Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum
Lai D; Zhang X; Zhang Y; Bin Heyat MB
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4897-4900. PubMed ID: 31946958
[TBL] [Abstract][Full Text] [Related]
11. Atrial Fibrillation Prediction With Residual Network Using Sensitivity and Orthogonality Constraints.
Jalali A; Lee M
IEEE J Biomed Health Inform; 2020 Feb; 24(2):407-413. PubMed ID: 31825883
[TBL] [Abstract][Full Text] [Related]
12. Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation.
Parvaneh S; Rubin J; Rahman A; Conroy B; Babaeizadeh S
Physiol Meas; 2018 Aug; 39(8):084003. PubMed ID: 30044235
[TBL] [Abstract][Full Text] [Related]
13. Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings.
Fan X; Yao Q; Cai Y; Miao F; Sun F; Li Y
IEEE J Biomed Health Inform; 2018 Nov; 22(6):1744-1753. PubMed ID: 30106699
[TBL] [Abstract][Full Text] [Related]
14. Artificial Neural Network for Atrial Fibrillation Identification in Portable Devices.
Marinucci D; Sbrollini A; Marcantoni I; Morettini M; Swenne CA; Burattini L
Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32599796
[TBL] [Abstract][Full Text] [Related]
15. An ECG Signal Classification Method Based on Dilated Causal Convolution.
Ma H; Chen C; Zhu Q; Yuan H; Chen L; Shu M
Comput Math Methods Med; 2021; 2021():6627939. PubMed ID: 33603825
[TBL] [Abstract][Full Text] [Related]
16. MGNN: A multiscale grouped convolutional neural network for efficient atrial fibrillation detection.
Liu S; Wang A; Deng X; Yang C
Comput Biol Med; 2022 Sep; 148():105863. PubMed ID: 35849950
[TBL] [Abstract][Full Text] [Related]
17. A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms.
Sodmann P; Vollmer M; Nath N; Kaderali L
Physiol Meas; 2018 Oct; 39(10):104005. PubMed ID: 30235165
[TBL] [Abstract][Full Text] [Related]
18. Deterministic logic versus software-based artificial neural networks in the diagnosis of atrial fibrillation.
Yang TF; Devine B; Macfarlane PW
J Electrocardiol; 1993; 26 Suppl():90-4. PubMed ID: 8189154
[TBL] [Abstract][Full Text] [Related]
19. Atrial Fibrillation Beat Identification Using the Combination of Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks.
Xu X; Wei S; Ma C; Luo K; Zhang L; Liu C
J Healthc Eng; 2018; 2018():2102918. PubMed ID: 30057730
[TBL] [Abstract][Full Text] [Related]
20. ECG signal classification with binarized convolutional neural network.
Wu Q; Sun Y; Yan H; Wu X
Comput Biol Med; 2020 Jun; 121():103800. PubMed ID: 32568678
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
