202 related articles for article (PubMed ID: 37858107)
1. Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals.
Daydulo YD; Thamineni BL; Dawud AA
BMC Med Inform Decis Mak; 2023 Oct; 23(1):232. PubMed ID: 37858107
[TBL] [Abstract][Full Text] [Related]
2. Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks.
Çınar A; Tuncer SA
Comput Methods Biomech Biomed Engin; 2021 Feb; 24(2):203-214. PubMed ID: 32955928
[TBL] [Abstract][Full Text] [Related]
3. A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.
Madan P; Singh V; Singh DP; Diwakar M; Pant B; Kishor A
Bioengineering (Basel); 2022 Apr; 9(4):. PubMed ID: 35447712
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals.
Prusty MR; Pandey TN; Lekha PS; Lellapalli G; Gupta A
Sci Rep; 2024 Feb; 14(1):2633. PubMed ID: 38302520
[TBL] [Abstract][Full Text] [Related]
7. Arrhythmia classification based on multi-feature multi-path parallel deep convolutional neural networks and improved focal loss.
Ran Z; Jiang M; Li Y; Wang Z; Wu Y; Ke W; Xia L
Math Biosci Eng; 2024 Mar; 21(4):5521-5535. PubMed ID: 38872546
[TBL] [Abstract][Full Text] [Related]
8. ECG Heartbeat Classification Based on an Improved ResNet-18 Model.
Jing E; Zhang H; Li Z; Liu Y; Ji Z; Ganchev I
Comput Math Methods Med; 2021; 2021():6649970. PubMed ID: 34007306
[TBL] [Abstract][Full Text] [Related]
9. Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets.
Sattar S; Mumtaz R; Qadir M; Mumtaz S; Khan MA; De Waele T; De Poorter E; Moerman I; Shahid A
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676101
[TBL] [Abstract][Full Text] [Related]
10. Ensemble classifier fostered detection of arrhythmia using ECG data.
Ramkumar M; Alagarsamy M; Balakumar A; Pradeep S
Med Biol Eng Comput; 2023 Sep; 61(9):2453-2466. PubMed ID: 37145258
[TBL] [Abstract][Full Text] [Related]
11. Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning Model.
Barbosa LCN; Lopes D; Escrivaes I; Moreira AHJ; Carvalho V; Vilaca JL; Morais P
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082961
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms.
Ma S; Cui J; Xiao W; Liu L
Comput Intell Neurosci; 2022; 2022():1577778. PubMed ID: 35990162
[TBL] [Abstract][Full Text] [Related]
13. Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method.
Lin M; Hong Y; Hong S; Zhang S
Technol Health Care; 2024; 32(S1):95-105. PubMed ID: 38759040
[TBL] [Abstract][Full Text] [Related]
14. Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing.
Hsu PY; Cheng CK
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():292-295. PubMed ID: 33017986
[TBL] [Abstract][Full Text] [Related]
15. Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique.
Irfan S; Anjum N; Althobaiti T; Alotaibi AA; Siddiqui AB; Ramzan N
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957162
[TBL] [Abstract][Full Text] [Related]
16. Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.
Oh SL; Ng EYK; Tan RS; Acharya UR
Comput Biol Med; 2019 Feb; 105():92-101. PubMed ID: 30599317
[TBL] [Abstract][Full Text] [Related]
17. Cardiac arrhythmia beat classification using DOST and PSO tuned SVM.
Raj S; Ray KC; Shankar O
Comput Methods Programs Biomed; 2016 Nov; 136():163-77. PubMed ID: 27686713
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
Islam MS; Hasan KF; Sultana S; Uddin S; Lio' P; Quinn JMW; Moni MA
Neural Netw; 2023 May; 162():271-287. PubMed ID: 36921434
[TBL] [Abstract][Full Text] [Related]
20. Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets.
Luo X; Yang L; Cai H; Tang R; Chen Y; Li W
Comput Methods Programs Biomed; 2021 Sep; 208():106258. PubMed ID: 34218172
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
