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Journal Abstract Search

201 related items for PubMed ID: 37116508

  • 1. A deep learning method for continuous noninvasive blood pressure monitoring using photoplethysmography.
    Liang H, He W, Xu Z.
    Physiol Meas; 2023 May 22; 44(5):. PubMed ID: 37116508
    [Abstract] [Full Text] [Related]

  • 2. DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.
    Kim DK, Kim YT, Kim H, Kim DJ.
    IEEE J Biomed Health Inform; 2022 Aug 22; 26(8):3697-3707. PubMed ID: 35511844
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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 29; 46(4):1589-1605. PubMed ID: 37747644
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections.
    Lai K, Wang X, Cao C.
    Sensors (Basel); 2024 Apr 24; 24(9):. PubMed ID: 38732827
    [Abstract] [Full Text] [Related]

  • 7. KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography.
    Ma C, Zhang P, Song F, Sun Y, Fan G, Zhang T, Feng Y, Zhang G.
    IEEE J Biomed Health Inform; 2023 May 24; 27(5):2219-2230. PubMed ID: 35700247
    [Abstract] [Full Text] [Related]

  • 8. BP-diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net.
    Liu Y, Yu J, Mou H.
    Physiol Meas; 2024 Oct 14; 45(10):. PubMed ID: 39321963
    [Abstract] [Full Text] [Related]

  • 9. A Refined Blood Pressure Estimation Model Based on Single Channel Photoplethysmography.
    Zhang Y, Ren X, Liang X, Ye X, Zhou C.
    IEEE J Biomed Health Inform; 2022 Dec 14; 26(12):5907-5917. PubMed ID: 36103444
    [Abstract] [Full Text] [Related]

  • 10. Continuous Blood Pressure Estimation Using Exclusively Photopletysmography by LSTM-Based Signal-to-Signal Translation.
    Harfiya LN, Chang CC, Li YH.
    Sensors (Basel); 2021 Apr 23; 21(9):. PubMed ID: 33922447
    [Abstract] [Full Text] [Related]

  • 11. Cuff-Less Blood Pressure Estimation From Photoplethysmography via Visibility Graph and Transfer Learning.
    Wang W, Mohseni P, Kilgore KL, Najafizadeh L.
    IEEE J Biomed Health Inform; 2022 May 23; 26(5):2075-2085. PubMed ID: 34784289
    [Abstract] [Full Text] [Related]

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  • 14. Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals.
    Malayeri AB, Khodabakhshi MB.
    Sci Rep; 2022 Apr 22; 12(1):6633. PubMed ID: 35459260
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  • 16. Non-invasive blood pressure estimation combining deep neural networks with pre-training and partial fine-tuning.
    Meng Z, Yang X, Liu X, Wang D, Han X.
    Physiol Meas; 2022 Nov 11; 43(11):. PubMed ID: 36301705
    [Abstract] [Full Text] [Related]

  • 17. 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 11; 37(2):367-76. PubMed ID: 24722801
    [Abstract] [Full Text] [Related]

  • 18. Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only.
    Hsu YC, Li YH, Chang CC, Harfiya LN.
    Sensors (Basel); 2020 Oct 04; 20(19):. PubMed ID: 33020401
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  • 20. Real-Time Cuffless Continuous Blood Pressure Estimation Using 1D Squeeze U-Net Model: A Progress toward mHealth.
    Athaya T, Choi S.
    Biosensors (Basel); 2022 Aug 18; 12(8):. PubMed ID: 36005051
    [Abstract] [Full Text] [Related]

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