These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

382 related articles for article (PubMed ID: 30098452)

  • 1. Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine.
    Yang W; Si Y; Wang D; Guo B
    Comput Biol Med; 2018 Oct; 101():22-32. PubMed ID: 30098452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System.
    Li H; Yuan D; Wang Y; Cui D; Cao L
    Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27775596
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Arrhythmia heartbeats classification based on neighborhood preserving embedding algorithm].
    Gao X; Li Z; Chen S; Li J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2017 Feb; 34(1):1-6. PubMed ID: 29717579
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Arrhythmia Classification of ECG Signals Using Hybrid Features.
    Anwar SM; Gul M; Majid M; Alnowami M
    Comput Math Methods Med; 2018; 2018():1380348. PubMed ID: 30538768
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Approach for Multi-Lead ECG Classification Using DL-CCANet and TL-CCANet.
    Yang W; Si Y; Wang D; Zhang G
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31330925
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust algorithm for arrhythmia classification in ECG using extreme learning machine.
    Kim J; Shin HS; Shin K; Lee M
    Biomed Eng Online; 2009 Oct; 8():31. PubMed ID: 19863819
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.
    Qin Q; Li J; Zhang L; Yue Y; Liu C
    Sci Rep; 2017 Jul; 7(1):6067. PubMed ID: 28729684
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network.
    Ji Y; Zhang S; Xiao W
    Sensors (Basel); 2019 Jun; 19(11):. PubMed ID: 31195603
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel application of deep learning for single-lead ECG classification.
    Mathews SM; Kambhamettu C; Barner KE
    Comput Biol Med; 2018 Aug; 99():53-62. PubMed ID: 29886261
    [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. Arrhythmia Recognition and Classification Using ECG Morphology and Segment Feature Analysis.
    Zhu W; Chen X; Wang Y; Wang L
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):131-138. PubMed ID: 29994263
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A High-Performance Anti-Noise Algorithm for Arrhythmia Recognition.
    Feng J; Si Y; Zhang Y; Sun M; Yang W
    Sensors (Basel); 2024 Jul; 24(14):. PubMed ID: 39065956
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals.
    Elhaj FA; Salim N; Harris AR; Swee TT; Ahmed T
    Comput Methods Programs Biomed; 2016 Apr; 127():52-63. PubMed ID: 27000289
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Neural system for heartbeats recognition using genetically integrated ensemble of classifiers.
    Osowski S; Siwek K; Siroic R
    Comput Biol Med; 2011 Mar; 41(3):173-80. PubMed ID: 21315326
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A cascaded classifier for multi-lead ECG based on feature fusion.
    Chen G; Hong Z; Guo Y; Pang C
    Comput Methods Programs Biomed; 2019 Sep; 178():135-143. PubMed ID: 31416542
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patient-Specific Deep Architectural Model for ECG Classification.
    Luo K; Li J; Wang Z; Cuschieri A
    J Healthc Eng; 2017; 2017():4108720. PubMed ID: 29065597
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 20.