BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

504 related articles for article (PubMed ID: 31728941)

  • 41. 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]  

  • 42. A new approach for arrhythmia classification using deep coded features and LSTM networks.
    Yildirim O; Baloglu UB; Tan RS; Ciaccio EJ; Acharya UR
    Comput Methods Programs Biomed; 2019 Jul; 176():121-133. PubMed ID: 31200900
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. Heartbeats Classification Using Hybrid Time-Frequency Analysis and Transfer Learning Based on ResNet.
    Zhang Y; Li J; Wei S; Zhou F; Li D
    IEEE J Biomed Health Inform; 2021 Nov; 25(11):4175-4184. PubMed ID: 34077377
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
    Alickovic E; Subasi A
    J Med Syst; 2016 Apr; 40(4):108. PubMed ID: 26922592
    [TBL] [Abstract][Full Text] [Related]  

  • 46. 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]  

  • 47. 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]  

  • 48. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
    Atal DK; Singh M
    Comput Methods Programs Biomed; 2020 Nov; 196():105607. PubMed ID: 32593973
    [TBL] [Abstract][Full Text] [Related]  

  • 49. ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.
    Zhang J; Liu A; Gao M; Chen X; Zhang X; Chen X
    Artif Intell Med; 2020 Jun; 106():101856. PubMed ID: 32593390
    [TBL] [Abstract][Full Text] [Related]  

  • 50. An Electrocardiogram Delineator via Deep Segmentation Network.
    Jia D; Zhao W; Li Z; Hu J; Yan C; Wang H; You T
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1913-1916. PubMed ID: 31946272
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Deep Learning Based Patient-Specific Classification of Arrhythmia on ECG signal.
    Zhao W; Hu J; Jia D; Wang H; Li Z; Yan C; You T
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1500-1503. PubMed ID: 31946178
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.
    Yildirim O; Talo M; Ciaccio EJ; Tan RS; Acharya UR
    Comput Methods Programs Biomed; 2020 Dec; 197():105740. PubMed ID: 32932129
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A New Approach to Classify Cardiac Arrythmias Using 2D Convolutional Neural Networks.
    de Santana JRG; Costa MGF; Costa Filho CFF
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():566-570. PubMed ID: 34891357
    [TBL] [Abstract][Full Text] [Related]  

  • 54. WavelNet: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms.
    Kim N; Seo W; Kim JH; Choi SY; Park SM
    Comput Methods Programs Biomed; 2023 Apr; 231():107375. PubMed ID: 36724593
    [TBL] [Abstract][Full Text] [Related]  

  • 55. An ECG Heartbeat Classification Method Based on Deep Convolutional Neural Network.
    Zhang D; Chen Y; Chen Y; Ye S; Cai W; Chen M
    J Healthc Eng; 2021; 2021():7167891. PubMed ID: 34616536
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.
    Erdenebayar U; Kim H; Park JU; Kang D; Lee KJ
    J Korean Med Sci; 2019 Feb; 34(7):e64. PubMed ID: 30804732
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias.
    Kiranyaz S; Ince T; Gabbouj M
    Sci Rep; 2017 Aug; 7(1):9270. PubMed ID: 28839215
    [TBL] [Abstract][Full Text] [Related]  

  • 58. 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]  

  • 59. Electrocardiogram Beat-Classification Based on a ResNet Network.
    Brito C; Machado A; Sousa A
    Stud Health Technol Inform; 2019 Aug; 264():55-59. PubMed ID: 31437884
    [TBL] [Abstract][Full Text] [Related]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 26.