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Journal Abstract Search

408 related items for PubMed ID: 30699397

  • 1. Estimating blood pressure trends and the nocturnal dip from photoplethysmography.
    Radha M, de Groot K, Rajani N, Wong CCP, Kobold N, Vos V, Fonseca P, Mastellos N, Wark PA, Velthoven N, Haakma R, Aarts RM.
    Physiol Meas; 2019 Feb 26; 40(2):025006. PubMed ID: 30699397
    [Abstract] [Full Text] [Related]

  • 2. Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure.
    Finnegan E, Davidson S, Harford M, Watkinson P, Tarassenko L, Villarroel M.
    Sci Rep; 2023 Jan 18; 13(1):986. PubMed ID: 36653426
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  • 4. Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.
    Khalid SG, Zhang J, Chen F, Zheng D.
    J Healthc Eng; 2018 Jan 18; 2018():1548647. PubMed ID: 30425819
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  • 7. Photoplethysmography-based cuffless blood pressure estimation: an image encoding and fusion approach.
    Liu Y, Yu J, Mou H.
    Physiol Meas; 2023 Dec 15; 44(12):. PubMed ID: 38099538
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  • 8. A Continuous Blood Pressure Estimation Method Using Photoplethysmography by GRNN-Based Model.
    Li Z, He W.
    Sensors (Basel); 2021 Oct 29; 21(21):. PubMed ID: 34770514
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  • 10. Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques.
    Miao F, Wen B, Hu Z, Fortino G, Wang XP, Liu ZD, Tang M, Li Y.
    Artif Intell Med; 2020 Aug 29; 108():101919. PubMed ID: 32972654
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  • 12. Photoplethysmography for blood volumes and oxygenation changes during intermittent vascular occlusions.
    Abay TY, Kyriacou PA.
    J Clin Monit Comput; 2018 Jun 29; 32(3):447-455. PubMed ID: 28547651
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  • 15. Study of cuffless blood pressure estimation method based on multiple physiological parameters.
    Zhang Y, Zhou C, Huang Z, Ye X.
    Physiol Meas; 2021 Jun 17; 42(5):. PubMed ID: 33857923
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  • 16. Continuous cuffless blood pressure monitoring using photoplethysmography-based PPG2BP-net for high intrasubject blood pressure variations.
    Joung J, Jung CW, Lee HC, Chae MJ, Kim HS, Park J, Shin WY, Kim C, Lee M, Choi C.
    Sci Rep; 2023 May 27; 13(1):8605. PubMed ID: 37244974
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  • 17. Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring.
    Cisnal A, Li Y, Fuchs B, Ejtehadi M, Riener R, Paez-Granados D.
    IEEE J Biomed Health Inform; 2024 Oct 27; 28(10):5768-5779. PubMed ID: 38857137
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  • 18. Noninvasive Cuffless Blood Pressure Estimation Using Pulse Transit Time and Impedance Plethysmography.
    Huynh TH, Jafari R, Chung WY.
    IEEE Trans Biomed Eng; 2019 Apr 27; 66(4):967-976. PubMed ID: 30130167
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  • 19. Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach.
    Leitner J, Chiang PH, Dey S.
    IEEE J Biomed Health Inform; 2022 Jan 27; 26(1):218-228. PubMed ID: 34077378
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  • 20. Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques.
    Chowdhury MH, Shuzan MNI, Chowdhury MEH, Mahbub ZB, Uddin MM, Khandakar A, Reaz MBI.
    Sensors (Basel); 2020 Jun 01; 20(11):. PubMed ID: 32492902
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