231 related articles for article (PubMed ID: 36819737)
1. Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification.
Fki Z; Ammar B; Ayed MB
Cognit Comput; 2023 Feb; ():1-11. PubMed ID: 36819737
[TBL] [Abstract][Full Text] [Related]
2. [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]
3. A robust multiple heartbeats classification with weight-based loss based on convolutional neural network and bidirectional long short-term memory.
Yang M; Liu W; Zhang H
Front Physiol; 2022; 13():982537. PubMed ID: 36545286
[No Abstract] [Full Text] [Related]
4. DE-PNN: Differential Evolution-Based Feature Optimization with Probabilistic Neural Network for Imbalanced Arrhythmia Classification.
Nasim A; Kim YS
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746232
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. Convolutional neural network optimized by differential evolution for electrocardiogram classification.
Chen SW; Wang SL; Qi X; Ng TF; Ibrahim H
Multimed Tools Appl; 2023 Apr; ():1-27. PubMed ID: 37362685
[TBL] [Abstract][Full Text] [Related]
9. Automated ECG classification using a non-local convolutional block attention module.
Wang J; Qiao X; Liu C; Wang X; Liu Y; Yao L; Zhang H
Comput Methods Programs Biomed; 2021 May; 203():106006. PubMed ID: 33735660
[TBL] [Abstract][Full Text] [Related]
10. A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal.
Ullah A; Rehman SU; Tu S; Mehmood RM; Fawad ; Ehatisham-Ul-Haq M
Sensors (Basel); 2021 Feb; 21(3):. PubMed ID: 33535397
[TBL] [Abstract][Full Text] [Related]
11. Deep convolutional neural network and IoT technology for healthcare.
Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
[TBL] [Abstract][Full Text] [Related]
12. 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]
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. Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network.
Zahid MU; Kiranyaz S; Ince T; Devecioglu OC; Chowdhury MEH; Khandakar A; Tahir A; Gabbouj M
IEEE Trans Biomed Eng; 2022 Jan; 69(1):119-128. PubMed ID: 34110986
[TBL] [Abstract][Full Text] [Related]
15. ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features.
Mathunjwa BM; Lin YT; Lin CH; Abbod MF; Sadrawi M; Shieh JS
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214561
[TBL] [Abstract][Full Text] [Related]
16. Detection of Atrial Fibrillation Using 1D Convolutional Neural Network.
Hsieh CH; Li YS; Hwang BJ; Hsiao CH
Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32290113
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
[TBL] [Abstract][Full Text] [Related]
19. Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimization.
Wojciuk M; Swiderska-Chadaj Z; Siwek K; Gertych A
Heliyon; 2024 Mar; 10(5):e26586. PubMed ID: 38463880
[TBL] [Abstract][Full Text] [Related]
20. LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector.
Ammour N; Alhichri H; Bazi Y; Alajlan N
Comput Biol Med; 2021 Oct; 137():104807. PubMed ID: 34496312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]