BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 33405209)

  • 1. Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long short-term memory network classifier.
    Pandey SK; Janghel RR
    Phys Eng Sci Med; 2021 Mar; 44(1):173-182. PubMed ID: 33405209
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier.
    Ojha MK; Wadhwani S; Wadhwani AK; Shukla A
    Phys Eng Sci Med; 2022 Jun; 45(2):665-674. PubMed ID: 35304901
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification.
    Yildirim Ö
    Comput Biol Med; 2018 May; 96():189-202. PubMed ID: 29614430
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals.
    Radhakrishnan T; Karhade J; Ghosh SK; Muduli PR; Tripathy RK; Acharya UR
    Comput Biol Med; 2021 Oct; 137():104783. PubMed ID: 34481184
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats.
    Oh SL; Ng EYK; Tan RS; Acharya UR
    Comput Biol Med; 2018 Nov; 102():278-287. PubMed ID: 29903630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A multiview feature fusion model for heartbeat classification.
    Huang Y; Li H; Yu X
    Physiol Meas; 2021 Jun; 42(6):. PubMed ID: 33984841
    [No Abstract]   [Full Text] [Related]  

  • 9. ECG feature extraction based on the bandwidth properties of variational mode decomposition.
    Mert A
    Physiol Meas; 2016 Apr; 37(4):530-43. PubMed ID: 26987295
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Automated detection of premature ventricular contraction based on the improved gated recurrent unit network.
    Wang J
    Comput Methods Programs Biomed; 2021 Sep; 208():106284. PubMed ID: 34304005
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM; Setarehdan SK; Mohebbi M
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Interpretation of Electrocardiogram Heartbeat by CNN and GRU.
    Yao G; Mao X; Li N; Xu H; Xu X; Jiao Y; Ni J
    Comput Math Methods Med; 2021; 2021():6534942. PubMed ID: 34497664
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ECG data enhancement method using generate adversarial networks based on Bi-LSTM and CBAM.
    Zhou F; Li J
    Physiol Meas; 2024 Feb; 45(2):. PubMed ID: 38266299
    [No Abstract]   [Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Electrocardiogram morphological arrhythmia classification using fuzzy entropy-based feature selection and optimal classifier.
    Chaubey K; Saha S
    Biomed Phys Eng Express; 2023 Oct; 9(6):. PubMed ID: 37604128
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection.
    Huang Z; Yang S; Zou Q; Gao X; Chen B
    Biomed Tech (Berl); 2024 Apr; 69(2):167-179. PubMed ID: 37768977
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.