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PUBMED FOR HANDHELDS

Journal Abstract Search


548 related items for PubMed ID: 31751811

  • 21. Study of atrial activities for abnormality detection by phase rectified signal averaging technique.
    Maji U, Pal S, Mitra M.
    J Med Eng Technol; 2015; 39(5):291-302. PubMed ID: 26084877
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  • 22. A new smart wristband equipped with an artificial intelligence algorithm to detect atrial fibrillation.
    Chen E, Jiang J, Su R, Gao M, Zhu S, Zhou J, Huo Y.
    Heart Rhythm; 2020 May; 17(5 Pt B):847-853. PubMed ID: 32354449
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  • 23. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
    Kwon S, Hong J, Choi EK, Lee E, Hostallero DE, Kang WJ, Lee B, Jeong ER, Koo BK, Oh S, Yi Y.
    JMIR Mhealth Uhealth; 2019 Jun 06; 7(6):e12770. PubMed ID: 31199302
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  • 24. Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy.
    Zhou X, Ding H, Ung B, Pickwell-MacPherson E, Zhang Y.
    Biomed Eng Online; 2014 Feb 17; 13(1):18. PubMed ID: 24533474
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  • 25. A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection.
    Shao M, Zhou Z, Bin G, Bai Y, Wu S.
    Sensors (Basel); 2020 Jan 22; 20(3):. PubMed ID: 31979184
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  • 29. The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation.
    Dörr M, Nohturfft V, Brasier N, Bosshard E, Djurdjevic A, Gross S, Raichle CJ, Rhinisperger M, Stöckli R, Eckstein J.
    JACC Clin Electrophysiol; 2019 Feb 22; 5(2):199-208. PubMed ID: 30784691
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  • 30. 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 22; 116():103378. PubMed ID: 31778896
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  • 33. Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals.
    Hajeb-Mohammadalipour S, Ahmadi M, Shahghadami R, Chon KH.
    Sensors (Basel); 2018 Jun 29; 18(7):. PubMed ID: 29966276
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  • 34. Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study.
    Lubitz SA, Faranesh AZ, Selvaggi C, Atlas SJ, McManus DD, Singer DE, Pagoto S, McConnell MV, Pantelopoulos A, Foulkes AS.
    Circulation; 2022 Nov 08; 146(19):1415-1424. PubMed ID: 36148649
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  • 35. 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 25; 17(11):. PubMed ID: 29068369
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  • 38. Scalable customization of atrial fibrillation detection in cardiac monitoring devices: increasing detection accuracy through personalized monitoring in large patient populations.
    Jang KJ, Balakrishnan G, Syed Z, Verma N.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Oct 25; 2011():2184-7. PubMed ID: 22254772
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  • 39. A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning.
    Rizwan A, Zoha A, Mabrouk IB, Sabbour HM, Al-Sumaiti AS, Alomainy A, Imran MA, Abbasi QH.
    IEEE Rev Biomed Eng; 2021 Oct 25; 14():219-239. PubMed ID: 32112683
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