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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

386 related items for PubMed ID: 35255373

  • 1. Effects of using different algorithms and fiducial points for the detection of interbeat intervals, and different sampling rates on the assessment of pulse rate variability from photoplethysmography.
    Mejía-Mejía E, May JM, Kyriacou PA.
    Comput Methods Programs Biomed; 2022 May; 218():106724. PubMed ID: 35255373
    [Abstract] [Full Text] [Related]

  • 2. Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals.
    Peralta E, Lazaro J, Bailon R, Marozas V, Gil E.
    Physiol Meas; 2019 Feb 26; 40(2):025007. PubMed ID: 30669123
    [Abstract] [Full Text] [Related]

  • 3. Impact of the PPG Sampling Rate in the Pulse Rate Variability Indices Evaluating Several Fiducial Points in Different Pulse Waveforms.
    Pelaez-Coca MD, Hernando A, Lazaro J, Gil E.
    IEEE J Biomed Health Inform; 2022 Feb 26; 26(2):539-549. PubMed ID: 34310329
    [Abstract] [Full Text] [Related]

  • 4. A low-complexity PPG pulse detection method for accurate estimation of the pulse rate variability (PRV) during sudden decreases in the signal amplitude.
    Argüello Prada EJ, Paredes Higinio A.
    Physiol Meas; 2020 Apr 16; 41(3):035001. PubMed ID: 32079008
    [Abstract] [Full Text] [Related]

  • 5. Spectral analysis for pulse rate variability assessment from simulated photoplethysmographic signals.
    Mejía-Mejía E, Kyriacou PA.
    Front Physiol; 2022 Apr 16; 13():966130. PubMed ID: 36569750
    [Abstract] [Full Text] [Related]

  • 6. Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals.
    Mejia-Mejia E, Kyriacou PA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul 16; 2022():649-652. PubMed ID: 36086146
    [Abstract] [Full Text] [Related]

  • 7. Information Retrieval from Photoplethysmographic Sensors: A Comprehensive Comparison of Practical Interpolation and Breath-Extraction Techniques at Different Sampling Rates.
    Reali P, Lolatto R, Coelli S, Tartaglia G, Bianchi AM.
    Sensors (Basel); 2022 Feb 13; 22(4):. PubMed ID: 35214329
    [Abstract] [Full Text] [Related]

  • 8. Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability.
    Polak AG, Klich B, Saganowski S, Prucnal MA, Kazienko P.
    Sensors (Basel); 2022 Sep 17; 22(18):. PubMed ID: 36146394
    [Abstract] [Full Text] [Related]

  • 9. Influence of acquisition frame-rate and video compression techniques on pulse-rate variability estimation from vPPG signal.
    Cerina L, Iozzia L, Mainardi L.
    Biomed Tech (Berl); 2019 Feb 25; 64(1):53-65. PubMed ID: 29135450
    [Abstract] [Full Text] [Related]

  • 10. Photoplethysmography sampling frequency: pilot assessment of how low can we go to analyze pulse rate variability with reliability?
    Choi A, Shin H.
    Physiol Meas; 2017 Mar 25; 38(3):586-600. PubMed ID: 28169836
    [Abstract] [Full Text] [Related]

  • 11. Relationships between heart-rate variability and pulse-rate variability obtained from video-PPG signal using ZCA.
    Iozzia L, Cerina L, Mainardi L.
    Physiol Meas; 2016 Nov 25; 37(11):1934-1944. PubMed ID: 27681456
    [Abstract] [Full Text] [Related]

  • 12. Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography.
    Firoozabadi R, Helfenbein ED, Babaeizadeh S.
    J Electrocardiol; 2017 Nov 25; 50(6):841-846. PubMed ID: 28918214
    [Abstract] [Full Text] [Related]

  • 13. Effect of Filtering of Photoplethysmography Signals in Pulse Rate Variability Analysis.
    Mejia-Mejia E, May JM, Kyriacou PA.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 25; 2021():5500-5503. PubMed ID: 34892370
    [Abstract] [Full Text] [Related]

  • 14. Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera.
    Bánhalmi A, Borbás J, Fidrich M, Bilicki V, Gingl Z, Rudas L.
    J Healthc Eng; 2018 Nov 25; 2018():4038034. PubMed ID: 29666670
    [Abstract] [Full Text] [Related]

  • 15. Local Interval Estimation Improves Accuracy and Robustness of Heart Rate Variability Derivation from Photoplethysmography.
    Antink CH, Leonhardt S, Walter M.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 25; 2018():3558-3561. PubMed ID: 30441147
    [Abstract] [Full Text] [Related]

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  • 17. Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities.
    Pineda-Alpizar F, Arriola-Valverde S, Vado-Chacón M, Sossa-Rojas D, Liu H, Zheng D.
    Sensors (Basel); 2023 Apr 24; 23(9):. PubMed ID: 37177450
    [Abstract] [Full Text] [Related]

  • 18. Extraction of heart rate variability from smartphone photoplethysmograms.
    Peng RC, Zhou XL, Lin WH, Zhang YT.
    Comput Math Methods Med; 2015 Apr 24; 2015():516826. PubMed ID: 25685174
    [Abstract] [Full Text] [Related]

  • 19. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals.
    Jeyhani V, Mahdiani S, Peltokangas M, Vehkaoja A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Apr 24; 2015():5952-5. PubMed ID: 26737647
    [Abstract] [Full Text] [Related]

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