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 *

129 related articles for article (PubMed ID: 34891392)

  • 21. Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network.
    Cai W; Chen Y; Guo J; Han B; Shi Y; Ji L; Wang J; Zhang G; Luo J
    Comput Biol Med; 2020 Jan; 116():103378. PubMed ID: 31778896
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.
    Lee HC; Chen CY; Lee SJ; Lee MC; Tsai CY; Chen ST; Li YJ
    Comput Biol Med; 2022 Jul; 146():105584. PubMed ID: 35551013
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Detecting atrial fibrillation from short single lead ECGs using statistical and morphological features.
    Athif M; Yasawardene PC; Daluwatte C
    Physiol Meas; 2018 Jun; 39(6):064002. PubMed ID: 29767635
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Atrial Fibrillation Detection with Single-Lead Electrocardiogram Based on Temporal Convolutional Network-ResNet.
    Zhao X; Zhou R; Ning L; Guo Q; Liang Y; Yang J
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257491
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A fully-automated paper ECG digitisation algorithm using deep learning.
    Wu H; Patel KHK; Li X; Zhang B; Galazis C; Bajaj N; Sau A; Shi X; Sun L; Tao Y; Al-Qaysi H; Tarusan L; Yasmin N; Grewal N; Kapoor G; Waks JW; Kramer DB; Peters NS; Ng FS
    Sci Rep; 2022 Dec; 12(1):20963. PubMed ID: 36471089
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Detection of atrial fibrillation using discrete-state Markov models and Random Forests.
    Kalidas V; Tamil LS
    Comput Biol Med; 2019 Oct; 113():103386. PubMed ID: 31446318
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost.
    Chen Y; Wang X; Jung Y; Abedi V; Zand R; Bikak M; Adibuzzaman M
    Physiol Meas; 2018 Oct; 39(10):104006. PubMed ID: 30183685
    [TBL] [Abstract][Full Text] [Related]  

  • 28. ECG data dependency for atrial fibrillation detection based on residual networks.
    Seo HC; Oh S; Kim H; Joo S
    Sci Rep; 2021 Sep; 11(1):18256. PubMed ID: 34521892
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals.
    Ivanovic MD; Atanasoski V; Shvilkin A; Hadzievski L; Maluckov A
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1780-1783. PubMed ID: 31946242
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Detecting atrial fibrillation by deep convolutional neural networks.
    Xia Y; Wulan N; Wang K; Zhang H
    Comput Biol Med; 2018 Feb; 93():84-92. PubMed ID: 29291535
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm.
    Pandit D; Zhang L; Liu C; Chattopadhyay S; Aslam N; Lim CP
    Comput Methods Programs Biomed; 2017 Jun; 144():61-75. PubMed ID: 28495007
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.
    Lai D; Bu Y; Su Y; Zhang X; Ma CS
    IEEE J Biomed Health Inform; 2020 Jun; 24(6):1569-1578. PubMed ID: 32175879
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. The Deep-Match Framework: R-Peak Detection in Ear-ECG.
    Davies HJ; Hammour G; Zylinski M; Nassibi A; Stankovic L; Mandic DP
    IEEE Trans Biomed Eng; 2024 Jul; 71(7):2014-2021. PubMed ID: 38285581
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.
    van de Leur RR; Blom LJ; Gavves E; Hof IE; van der Heijden JF; Clappers NC; Doevendans PA; Hassink RJ; van Es R
    J Am Heart Assoc; 2020 May; 9(10):e015138. PubMed ID: 32406296
    [TBL] [Abstract][Full Text] [Related]  

  • 37. An ECG Signal Classification Method Based on Dilated Causal Convolution.
    Ma H; Chen C; Zhu Q; Yuan H; Chen L; Shu M
    Comput Math Methods Med; 2021; 2021():6627939. PubMed ID: 33603825
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.
    Galloway CD; Valys AV; Shreibati JB; Treiman DL; Petterson FL; Gundotra VP; Albert DE; Attia ZI; Carter RE; Asirvatham SJ; Ackerman MJ; Noseworthy PA; Dillon JJ; Friedman PA
    JAMA Cardiol; 2019 May; 4(5):428-436. PubMed ID: 30942845
    [TBL] [Abstract][Full Text] [Related]  

  • 39. An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions.
    Wesselius FJ; van Schie MS; de Groot NMS; Hendriks RC
    Comput Biol Med; 2022 Apr; 143():105331. PubMed ID: 35231835
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017.
    Kleyko D; Osipov E; Wiklund U
    Biomed Phys Eng Express; 2020 Feb; 6(2):025010. PubMed ID: 33438636
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.