BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 26736826)

  • 21. 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]  

  • 22. Premature beats detection based on a novel convolutional neural network.
    Yang J; Cai W; Wang M
    Physiol Meas; 2021 Jul; 42(7):. PubMed ID: 34167103
    [No Abstract]   [Full Text] [Related]  

  • 23. An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest.
    Kung BH; Hu PY; Huang CC; Lee CC; Yao CY; Kuan CH
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):1904-1914. PubMed ID: 33136548
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Block-based neural networks for personalized ECG signal classification.
    Jiang W; Kong SG
    IEEE Trans Neural Netw; 2007 Nov; 18(6):1750-61. PubMed ID: 18051190
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A generic and robust system for automated patient-specific classification of ECG signals.
    Ince T; Kiranyaz S; Gabbouj M
    IEEE Trans Biomed Eng; 2009 May; 56(5):1415-26. PubMed ID: 19203885
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals.
    Huang H; Liu J; Zhu Q; Wang R; Hu G
    Biomed Eng Online; 2014 Jun; 13():90. PubMed ID: 24981916
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Classification of arrhythmic events in ambulatory electrocardiogram, using artificial neural networks.
    Silipo R; Gori M; Taddei A; Varanini M; Marchesi C
    Comput Biomed Res; 1995 Aug; 28(4):305-18. PubMed ID: 8549122
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal.
    Ullah H; Bin Heyat MB; AlSalman H; Khan HM; Akhtar F; Gumaei A; Mehdi A; Muaad AY; Islam MS; Ali A; Bu Y; Khan D; Pan T; Gao M; Lin Y; Lai D
    J Healthc Eng; 2022; 2022():3408501. PubMed ID: 35449862
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. [Detection of premature ventricular contraction and atrial premature contraction based on mode entropy].
    Wu J; Wang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Jun; 27(3):516-8. PubMed ID: 20649009
    [TBL] [Abstract][Full Text] [Related]  

  • 31. QRS Detection and Measurement Method of ECG Paper Based on Convolutional Neural Networks.
    Yu R; Gao Y; Duan X; Zhu T; Wang Z; Jiao B
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4636-4639. PubMed ID: 30441384
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings.
    Fan X; Yao Q; Cai Y; Miao F; Sun F; Li Y
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1744-1753. PubMed ID: 30106699
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Multi-center atrial fibrillation electrocardiogram (ECG) classification using Fourier space convolutional neural networks (FD-CNN) and transfer learning.
    Vasconcelos L; Martinez BP; Kent M; Ansari S; Ghanbari H; Nenadic I
    J Electrocardiol; 2023; 81():201-206. PubMed ID: 37778217
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs.
    Lee H; Shin M
    Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202805
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An efficient method for ectopic beats cancellation based on radial basis function.
    Mateo J; Torres A; Rieta JJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6947-50. PubMed ID: 22255936
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.
    Zhang J; Yao R; Ge W; Gao J
    Comput Methods Programs Biomed; 2020 Jan; 183():105089. PubMed ID: 31586788
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Robust neural-network-based classification of premature ventricular contractions using wavelet transform and timing interval features.
    Inan OT; Giovangrandi L; Kovacs GT
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2507-15. PubMed ID: 17153208
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Real-Time Arrhythmia Heartbeats Classification Algorithm Using Parallel Delta Modulations and Rotated Linear-Kernel Support Vector Machines.
    Tang X; Ma Z; Hu Q; Tang W
    IEEE Trans Biomed Eng; 2020 Apr; 67(4):978-986. PubMed ID: 31265382
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Arrhythmia Evaluation in Wearable ECG Devices.
    Sadrawi M; Lin CH; Lin YT; Hsieh Y; Kuo CC; Chien JC; Haraikawa K; Abbod MF; Shieh JS
    Sensors (Basel); 2017 Oct; 17(11):. PubMed ID: 29068369
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 11.