191 related articles for article (PubMed ID: 37783539)
1. Few-shot transfer learning for personalized atrial fibrillation detection using patient-based siamese network with single-lead ECG records.
Ng Y; Liao MT; Chen TL; Lee CK; Chou CY; Wang W
Artif Intell Med; 2023 Oct; 144():102644. PubMed ID: 37783539
[TBL] [Abstract][Full Text] [Related]
2. Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection.
Zhang X; Li J; Cai Z; Zhang L; Chen Z; Liu C
Med Biol Eng Comput; 2021 Jan; 59(1):165-173. PubMed ID: 33387183
[TBL] [Abstract][Full Text] [Related]
3. Transfer Learning for Detection of Atrial Fibrillation in Deterministic Compressive Sensed ECG.
Abdelazez M; Rajan S; Chan ADC
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5398-5401. PubMed ID: 33019201
[TBL] [Abstract][Full Text] [Related]
4. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
Ramesh J; Solatidehkordi Z; Aburukba R; Sagahyroon A
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770543
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring.
Zhang P; Chen Y; Lin F; Wu S; Yang X; Li Q
IEEE J Biomed Health Inform; 2022 Aug; 26(8):3791-3801. PubMed ID: 35536820
[TBL] [Abstract][Full Text] [Related]
7. An incremental learning system for atrial fibrillation detection based on transfer learning and active learning.
Shi H; Wang H; Qin C; Zhao L; Liu C
Comput Methods Programs Biomed; 2020 Apr; 187():105219. PubMed ID: 31786450
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. TP-CNN: A Detection Method for atrial fibrillation based on transposed projection signals with compressed sensed ECG.
Zhang H; Dong Z; Sun M; Gu H; Wang Z
Comput Methods Programs Biomed; 2021 Oct; 210():106358. PubMed ID: 34478912
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017.
Kleyko D; Osipov E; Wiklund U
Biomed Phys Eng Express; 2020 Feb; 6(2):025010. PubMed ID: 33438636
[TBL] [Abstract][Full Text] [Related]
13. Identification of Atrial Fibrillation With Single-Lead Mobile ECG During Normal Sinus Rhythm Using Deep Learning.
Kim J; Lee SJ; Ko B; Lee M; Lee YS; Lee KH
J Korean Med Sci; 2024 Feb; 39(5):e56. PubMed ID: 38317452
[TBL] [Abstract][Full Text] [Related]
14. Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.
Jahan MS; Mansourvar M; Puthusserypady S; Wiil UK; Peimankar A
Int J Med Inform; 2022 Jul; 163():104790. PubMed ID: 35552189
[TBL] [Abstract][Full Text] [Related]
15. Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.
Lai D; Bu Y; Su Y; Zhang X; Ma CS
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1569-1578. PubMed ID: 32175879
[TBL] [Abstract][Full Text] [Related]
16. Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.
Ghosh SK; Tripathy RK; Paternina MRA; Arrieta JJ; Zamora-Mendez A; Naik GR
J Med Syst; 2020 May; 44(6):114. PubMed ID: 32388733
[TBL] [Abstract][Full Text] [Related]
17. Automatic screening method for atrial fibrillation based on lossy compression of the electrocardiogram signal.
Zhang H; Dong Z; Gao J; Lu P; Wang Z
Physiol Meas; 2020 Aug; 41(7):075005. PubMed ID: 32464608
[TBL] [Abstract][Full Text] [Related]
18. End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networks.
Habineza T; Ribeiro AH; Gedon D; Behar JA; Ribeiro ALP; Schön TB
J Electrocardiol; 2023; 81():193-200. PubMed ID: 37774529
[TBL] [Abstract][Full Text] [Related]
19. Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier.
Jekova I; Christov I; Krasteva V
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015834
[TBL] [Abstract][Full Text] [Related]
20. Device agnostic AI-based analysis of ambulatory ECG recordings.
Kennedy A; Doggart P; Smith SW; Finlay D; Guldenring D; Bond R; McCausland C; McLaughlin J
J Electrocardiol; 2022; 74():154-157. PubMed ID: 36283253
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
