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 *

177 related articles for article (PubMed ID: 39123835)

  • 21. 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]  

  • 22. Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.
    Poh MZ; Battisti AJ; Cheng LF; Lin J; Patwardhan A; Venkataraman GS; Athill CA; Patel NS; Patel CP; Machado CE; Ellis JT; Crosson LA; Tamura Y; Plowman RS; Turakhia MP; Ghanbari H
    J Am Heart Assoc; 2023 Oct; 12(19):e030543. PubMed ID: 37750558
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Automatic screening method for atrial fibrillation based on lossy compression of the electrocardiogram signal.
    Zhang H; Dong Z; Gao J; Lu P; Wang Z
    Physiol Meas; 2020 Aug; 41(7):075005. PubMed ID: 32464608
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection.
    Shao M; Zhou Z; Bin G; Bai Y; Wu S
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31979184
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [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]  

  • 28. Machine learning detection of Atrial Fibrillation using wearable technology.
    Lown M; Brown M; Brown C; Yue AM; Shah BN; Corbett SJ; Lewith G; Stuart B; Moore M; Little P
    PLoS One; 2020; 15(1):e0227401. PubMed ID: 31978173
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.
    Ghosh SK; Tripathy RK; Paternina MRA; Arrieta JJ; Zamora-Mendez A; Naik GR
    J Med Syst; 2020 May; 44(6):114. PubMed ID: 32388733
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Monitoring and detecting atrial fibrillation using wearable technology.
    Nemati S; Ghassemi MM; Ambai V; Isakadze N; Levantsevych O; Shah A; Clifford GD
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3394-3397. PubMed ID: 28269032
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.
    Poh MZ; Poh YC; Chan PH; Wong CK; Pun L; Leung WW; Wong YF; Wong MM; Chu DW; Siu CW
    Heart; 2018 Dec; 104(23):1921-1928. PubMed ID: 29853485
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Evaluation of an algorithm-guided photoplethysmography for atrial fibrillation burden using a smartwatch.
    Zhao Z; Li Q; Li S; Guo Q; Bo X; Kong X; Xia S; Li X; Dai W; Guo L; Liu X; Jiang C; Guo X; Liu N; Li S; Zuo S; Sang C; Long D; Dong J; Ma C
    Pacing Clin Electrophysiol; 2024 Apr; 47(4):511-517. PubMed ID: 38407298
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Sensitivity and Specificity of Wearables for Atrial Fibrillation in Elderly Populations: A Systematic Review.
    Babar F; Cheema AM; Ahmad Z; Sarfraz A; Sarfraz Z; Ashraff H; Tayyab H; Bajwa AM; Ali H; Sarfraz M; Shahzad A; Sabzwari SRA
    Curr Cardiol Rep; 2023 Jul; 25(7):761-779. PubMed ID: 37222916
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Current perspectives on wearable rhythm recordings for clinical decision-making: the wEHRAbles 2 survey.
    Manninger M; Zweiker D; Svennberg E; Chatzikyriakou S; Pavlovic N; Zaman JAB; Kircanski B; Lenarczyk R; Vanduynhoven P; Kosiuk J; Potpara T; Duncker D
    Europace; 2021 Jul; 23(7):1106-1113. PubMed ID: 33842972
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.
    Mohagheghian F; Han D; Peitzsch A; Nishita N; Ding E; Dickson EL; DiMezza D; Otabil EM; Noorishirazi K; Scott J; Lessard D; Wang Z; Whitcomb C; Tran KV; Fitzgibbons TP; McManus DD; Chon KH
    IEEE Trans Biomed Eng; 2022 Sep; 69(9):2982-2993. PubMed ID: 35275809
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification.
    Millán CA; Girón NA; Lopez DM
    Int J Environ Res Public Health; 2020 Jan; 17(2):. PubMed ID: 31941071
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples.
    Baalman SWE; Schroevers FE; Oakley AJ; Brouwer TF; van der Stuijt W; Bleijendaal H; Ramos LA; Lopes RR; Marquering HA; Knops RE; de Groot JR
    Int J Cardiol; 2020 Oct; 316():130-136. PubMed ID: 32315684
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study.
    Lubitz SA; Faranesh AZ; Atlas SJ; McManus DD; Singer DE; Pagoto S; Pantelopoulos A; Foulkes AS
    Am Heart J; 2021 Aug; 238():16-26. PubMed ID: 33865810
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Mobile Phone-Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App.
    Proesmans T; Mortelmans C; Van Haelst R; Verbrugge F; Vandervoort P; Vaes B
    JMIR Mhealth Uhealth; 2019 Mar; 7(3):e12284. PubMed ID: 30916656
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.