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Journal Abstract Search

232 related items for PubMed ID: 34784288

  • 1. Continuous PPG-Based Blood Pressure Monitoring Using Multi-Linear Regression.
    Haddad S, Boukhayma A, Caizzone A.
    IEEE J Biomed Health Inform; 2022 May; 26(5):2096-2105. PubMed ID: 34784288
    [Abstract] [Full Text] [Related]

  • 2. Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time.
    Li Y, Wang Z, Zhang L, Yang X, Song J.
    Australas Phys Eng Sci Med; 2014 Jun; 37(2):367-76. PubMed ID: 24722801
    [Abstract] [Full Text] [Related]

  • 3. Photoplethysmography Based Blood Pressure Monitoring Using the Senbiosys Ring.
    Haddad S, Boukhayma A, Di Pietrantonio G, Barison A, de Preux G, Caizzone A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1609-1612. PubMed ID: 34891593
    [Abstract] [Full Text] [Related]

  • 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 Nov; 2018():1548647. PubMed ID: 30425819
    [Abstract] [Full Text] [Related]

  • 5. An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method.
    Pal R, Rudas A, Kim S, Chiang JN, Barney A, Cannesson M.
    Comput Methods Programs Biomed; 2024 Sep; 254():108283. PubMed ID: 38901273
    [Abstract] [Full Text] [Related]

  • 6. Cuff-less Blood Pressure Measurement Using Supplementary ECG and PPG Features Extracted Through Wavelet Transformation.
    Singla M, Sistla P, Azeemuddin S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4628-4631. PubMed ID: 31946895
    [Abstract] [Full Text] [Related]

  • 7. Photoplethysmography derivatives and pulse transit time in overnight blood pressure monitoring.
    Shahrbabaki SS, Ahmed B, Penzel T, Cvetkovic D.
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2855-2858. PubMed ID: 28268912
    [Abstract] [Full Text] [Related]

  • 8. Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework.
    Pankaj, Kumar A, Komaragiri R, Kumar M.
    Phys Eng Sci Med; 2023 Dec; 46(4):1589-1605. PubMed ID: 37747644
    [Abstract] [Full Text] [Related]

  • 9. Hybrid CNN-SVR Blood Pressure Estimation Model Using ECG and PPG Signals.
    Rastegar S, Gholam Hosseini H, Lowe A.
    Sensors (Basel); 2023 Jan 22; 23(3):. PubMed ID: 36772300
    [Abstract] [Full Text] [Related]

  • 10. An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach.
    Athaya T, Choi S.
    Sensors (Basel); 2021 Mar 07; 21(5):. PubMed ID: 33800106
    [Abstract] [Full Text] [Related]

  • 11. Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative.
    Sarkar S, Ghosh A.
    Comput Biol Med; 2023 Nov 07; 166():107558. PubMed ID: 37806054
    [Abstract] [Full Text] [Related]

  • 12. A PPG-Based Calibration-Free Cuffless Blood Pressure Estimation Method Using Cardiovascular Dynamics.
    Samimi H, Dajani HR.
    Sensors (Basel); 2023 Apr 21; 23(8):. PubMed ID: 37112490
    [Abstract] [Full Text] [Related]

  • 13. PPG-Based Blood Pressure Monitoring by Pulse Wave Analysis: Calibration Parameters are Stable for Three Months.
    Proenca M, Bonnier G, Ferrario D, Verjus C, Lemay M.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 21; 2019():5560-5563. PubMed ID: 31947115
    [Abstract] [Full Text] [Related]

  • 14. A novel method for continuous blood pressure estimation based on a single-channel photoplethysmogram signal.
    Hu Q, Deng X, Wang A, Yang C.
    Physiol Meas; 2021 Jan 01; 41(12):125009. PubMed ID: 33166940
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 16. DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model.
    Raju SMTU, Dipto SA, Hossain MI, Chowdhury MAS, Haque F, Nashrah AT, Nishan A, Khan MMH, Hashem MMA.
    Med Biol Eng Comput; 2024 Dec 17; 62(12):3687-3708. PubMed ID: 38963467
    [Abstract] [Full Text] [Related]

  • 17. New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy.
    Lin WH, Wang H, Samuel OW, Liu G, Huang Z, Li G.
    Physiol Meas; 2018 Feb 26; 39(2):025005. PubMed ID: 29319536
    [Abstract] [Full Text] [Related]

  • 18. Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network.
    Khodabakhshi MB, Eslamyeh N, Sadredini SZ, Ghamari M.
    Comput Methods Programs Biomed; 2022 Nov 26; 226():107131. PubMed ID: 36137326
    [Abstract] [Full Text] [Related]

  • 19. Fully convolutional neural network and PPG signal for arterial blood pressure waveform estimation.
    Zhou Y, Tan Z, Liu Y, Cheng H.
    Physiol Meas; 2023 Sep 01; 44(7):. PubMed ID: 37402386
    [Abstract] [Full Text] [Related]

  • 20. Boosting Algorithms based Cuff-less Blood Pressure Estimation from Clinically Relevant ECG and PPG Morphological Features.
    Ghosh A, Sarkar S, Liu H, Mandal S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul 01; 2023():1-6. PubMed ID: 38082568
    [Abstract] [Full Text] [Related]

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