121 related articles for article (PubMed ID: 35942461)
1. An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning.
Alsafi H; Munilla J; Rahebi J
Comput Intell Neurosci; 2022; 2022():7276028. PubMed ID: 35942461
[TBL] [Abstract][Full Text] [Related]
2. A Parallel Cross Convolutional Recurrent Neural Network for Automatic Imbalanced ECG Arrhythmia Detection with Continuous Wavelet Transform.
Toma TI; Choi S
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236496
[TBL] [Abstract][Full Text] [Related]
3. Arrhythmia detection using deep convolutional neural network with long duration ECG signals.
Yıldırım Ö; Pławiak P; Tan RS; Acharya UR
Comput Biol Med; 2018 Nov; 102():411-420. PubMed ID: 30245122
[TBL] [Abstract][Full Text] [Related]
4. Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification.
Kumar A; Kumar M; Mahapatra RP; Bhattacharya P; Le TT; Verma S; Kavita ; Mohiuddin K
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177564
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. [Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias].
Li D; Zhang H; Liu Z; Huang J; Wang T
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Apr; 36(2):189-198. PubMed ID: 31016934
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.
Zhang J; Liu A; Gao M; Chen X; Zhang X; Chen X
Artif Intell Med; 2020 Jun; 106():101856. PubMed ID: 32593390
[TBL] [Abstract][Full Text] [Related]
9. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
Atal DK; Singh M
Comput Methods Programs Biomed; 2020 Nov; 196():105607. PubMed ID: 32593973
[TBL] [Abstract][Full Text] [Related]
10. Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design.
Basha J; Bacanin N; Vukobrat N; Zivkovic M; Venkatachalam K; Hubálovský S; Trojovský P
Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34640973
[TBL] [Abstract][Full Text] [Related]
11. Multi-information fusion neural networks for arrhythmia automatic detection.
Chen A; Wang F; Liu W; Chang S; Wang H; He J; Huang Q
Comput Methods Programs Biomed; 2020 Sep; 193():105479. PubMed ID: 32388066
[TBL] [Abstract][Full Text] [Related]
12. Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.
Yildirim O; Talo M; Ciaccio EJ; Tan RS; Acharya UR
Comput Methods Programs Biomed; 2020 Dec; 197():105740. PubMed ID: 32932129
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Constrained transformer network for ECG signal processing and arrhythmia classification.
Che C; Zhang P; Zhu M; Qu Y; Jin B
BMC Med Inform Decis Mak; 2021 Jun; 21(1):184. PubMed ID: 34107920
[TBL] [Abstract][Full Text] [Related]
15. ECG classification using 1-D convolutional deep residual neural network.
Khan F; Yu X; Yuan Z; Rehman AU
PLoS One; 2023; 18(4):e0284791. PubMed ID: 37098024
[TBL] [Abstract][Full Text] [Related]
16. Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification.
Hammad M; Meshoul S; Dziwiński P; Pławiak P; Elgendy IA
Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502049
[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. Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms.
Krasteva V; Ménétré S; Didon JP; Jekova I
Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32438582
[TBL] [Abstract][Full Text] [Related]
19. Inter-patient arrhythmia classification with improved deep residual convolutional neural network.
Li Y; Qian R; Li K
Comput Methods Programs Biomed; 2022 Feb; 214():106582. PubMed ID: 34933228
[TBL] [Abstract][Full Text] [Related]
20. A novel transformer-based ECG dimensionality reduction stacked auto-encoders for arrhythmia beat detection.
Ding C; Wang S; Jin X; Wang Z; Wang J
Med Phys; 2023 Sep; 50(9):5897-5912. PubMed ID: 37470489
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
