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 *

215 related articles for article (PubMed ID: 26737653)

  • 21. Separating arterial and venous-related components of photoplethysmographic signals for accurate extraction of oxygen saturation and respiratory rate.
    Yousefi R; Nourani M
    IEEE J Biomed Health Inform; 2015 May; 19(3):848-57. PubMed ID: 25055387
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate.
    Zhang J; Scebba G; Karlen W
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5939-5942. PubMed ID: 33019326
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Estimation of respiratory rates based on photoplethysmographic measurements at the sternum.
    Chreiteh SS; Belhage B; Hoppe K; Branebjerg J; Haahr R; Duun S; Thomsen EV
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6570-3. PubMed ID: 26737798
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Real-time estimation of respiratory rate from a photoplethysmogram using an adaptive lattice notch filter.
    Park C; Lee B
    Biomed Eng Online; 2014 Dec; 13():170. PubMed ID: 25518918
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.
    Jarchi D; Salvi D; Tarassenko L; Clifton DA
    Sensors (Basel); 2018 Oct; 18(11):. PubMed ID: 30384462
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Respiratory rate monitoring from the photoplethysmogram via sparse signal reconstruction.
    Zhang X; Ding Q
    Physiol Meas; 2016 Jul; 37(7):1105-19. PubMed ID: 27319303
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An automated algorithm for determining respiratory rate by photoplethysmogram in children.
    Leonard PA; Clifton D; Addison PS; Watson JN; Beattie T
    Acta Paediatr; 2006 Sep; 95(9):1124-8. PubMed ID: 16938761
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review.
    Charlton PH; Birrenkott DA; Bonnici T; Pimentel MAF; Johnson AEW; Alastruey J; Tarassenko L; Watkinson PJ; Beale R; Clifton DA
    IEEE Rev Biomed Eng; 2018; 11():2-20. PubMed ID: 29990026
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A motion-tolerant approach for monitoring SpO
    Fan F; Yan Y; Tang Y; Zhang H
    Comput Biol Med; 2017 Dec; 91():291-305. PubMed ID: 29102826
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An efficient model for extracting respiratory and blood oxygen saturation data from photoplethysmogram signals by removing motion artifacts using heuristic-aided ensemble learning model.
    Bondala VR; Komalla AR
    Comput Biol Med; 2024 Sep; 180():108911. PubMed ID: 39089111
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Derivation of respiration rate from ambulatory ECG and PPG using Ensemble Empirical Mode Decomposition: Comparison and fusion.
    Orphanidou C
    Comput Biol Med; 2017 Feb; 81():45-54. PubMed ID: 28012294
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks.
    Yang G; Kang Y; Charlton PH; Kyriacou PA; Kim KK; Li L; Park C
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931763
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deriving respiration from photoplethysmographic pulse width.
    Lázaro J; Gil E; Bailón R; Mincholé A; Laguna P
    Med Biol Eng Comput; 2013 Feb; 51(1-2):233-42. PubMed ID: 22996834
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimation of respiratory rate from ECG, photoplethysmogram, and piezoelectric pulse transducer signals: a comparative study of time-frequency methods.
    Dash S; Shelley KH; Silverman DG; Chon KH
    IEEE Trans Biomed Eng; 2010 May; 57(5):1099-107. PubMed ID: 20659821
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Design and Implementation of Respiration Rate Measurement System Using an Information Filter on an Embedded Device.
    Prasetiyo RB; Choi KS; Yang GH
    Sensors (Basel); 2018 Nov; 18(12):. PubMed ID: 30513667
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Respiratory Rate Estimation using PPG: A Deep Learning Approach.
    Bian D; Mehta P; Selvaraj N
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():5948-5952. PubMed ID: 33019328
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Initial evaluation of prospective cardiac triggering using photoplethysmography signals recorded with a video camera compared to pulse oximetry and electrocardiography at 7T MRI.
    Spicher N; Kukuk M; Maderwald S; Ladd ME
    Biomed Eng Online; 2016 Nov; 15(1):126. PubMed ID: 27881126
    [TBL] [Abstract][Full Text] [Related]  

  • 38. CapNet: A Deep Learning-based Framework for Estimation of Capnograph Signal from PPG.
    Ahmed S; Islam MT; Biswas S; Samrat RH; Akash TI; Subhana A; Shahnaz C
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3392-3395. PubMed ID: 36086237
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Respiratory rate detection algorithms by photoplethysmography signal processing.
    Lee EM; Kim NH; Trang NT; Hong JH; Cha EJ; Lee TS
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1140-3. PubMed ID: 19162865
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Neural network for photoplethysmographic respiratory rate monitoring.
    Johansson A
    Med Biol Eng Comput; 2003 May; 41(3):242-8. PubMed ID: 12803287
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.