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 *

240 related articles for article (PubMed ID: 35640394)

  • 1. Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.
    Kumar D; Peimankar A; Sharma K; Domínguez H; Puthusserypady S; Bardram JE
    Comput Methods Programs Biomed; 2022 Jun; 221():106899. PubMed ID: 35640394
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.
    Jahan MS; Mansourvar M; Puthusserypady S; Wiil UK; Peimankar A
    Int J Med Inform; 2022 Jul; 163():104790. PubMed ID: 35552189
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring.
    Zhang P; Chen Y; Lin F; Wu S; Yang X; Li Q
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3791-3801. PubMed ID: 35536820
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings.
    Zhang P; Ma C; Sun Y; Fan G; Song F; Feng Y; Zhang G
    Comput Biol Med; 2021 Dec; 139():104880. PubMed ID: 34700255
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection.
    Zhang X; Li J; Cai Z; Zhang L; Chen Z; Liu C
    Med Biol Eng Comput; 2021 Jan; 59(1):165-173. PubMed ID: 33387183
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification.
    Tutuko B; Rachmatullah MN; Darmawahyuni A; Nurmaini S; Tondas AE; Passarella R; Partan RU; Rifai A; Sapitri AI; Firdaus F
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336500
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier.
    Jekova I; Christov I; Krasteva V
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Review of Deep Learning-Based Atrial Fibrillation Detection Studies.
    Murat F; Sadak F; Yildirim O; Talo M; Murat E; Karabatak M; Demir Y; Tan RS; Acharya UR
    Int J Environ Res Public Health; 2021 Oct; 18(21):. PubMed ID: 34769819
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LTH-ECG: Lottery Ticket Hypothesis-based Deep Learning Model Compression for Atrial Fibrillation Detection from Single Lead ECG On Wearable and Implantable Devices.
    Sahu I; Ukil A; Khandelwal S; Pal A
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1655-1658. PubMed ID: 36085683
    [TBL] [Abstract][Full Text] [Related]  

  • 13. From sleep patterns to heart rhythm: Predicting atrial fibrillation from overnight polysomnograms.
    Koscova Z; Rad AB; Nasiri S; Reyna MA; Sameni R; Trotti LM; Sun H; Turley N; Stone KL; Thomas RJ; Mignot E; Westover B; Clifford GD
    J Electrocardiol; 2024; 86():153759. PubMed ID: 39067281
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination.
    Wan X; Liu Y; Mei X; Ye J; Zeng C; Chen Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1809-1820. PubMed ID: 38388761
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].
    Zhao S; Liu M; Liu M; Yang X; Xiong P; Zhang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Aug; 41(4):700-707. PubMed ID: 39218595
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
    Ramesh J; Solatidehkordi Z; Aburukba R; Sagahyroon A
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770543
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AFibNet: an implementation of atrial fibrillation detection with convolutional neural network.
    Tutuko B; Nurmaini S; Tondas AE; Rachmatullah MN; Darmawahyuni A; Esafri R; Firdaus F; Sapitri AI
    BMC Med Inform Decis Mak; 2021 Jul; 21(1):216. PubMed ID: 34261486
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care.
    Yao Y; Jia Y; Wu M; Wang S; Song H; Fang X; Liao X; Li D; Zhao Q
    BMC Prim Care; 2024 Jul; 25(1):267. PubMed ID: 39033295
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Atrial Fibrillation Burden Estimation Using Multi-Task Deep Convolutional Neural Network.
    Prabhakararao E; Dandapat S
    IEEE J Biomed Health Inform; 2022 Dec; 26(12):5992-6002. PubMed ID: 35849681
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Device agnostic AI-based analysis of ambulatory ECG recordings.
    Kennedy A; Doggart P; Smith SW; Finlay D; Guldenring D; Bond R; McCausland C; McLaughlin J
    J Electrocardiol; 2022; 74():154-157. PubMed ID: 36283253
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.