BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

948 related articles for article (PubMed ID: 17946618)

  • 1. Comparison of heart rate variability signal features derived from electrocardiography and photoplethysmography in healthy individuals.
    Bolanos M; Nazeran H; Haltiwanger E
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4289-94. PubMed ID: 17946618
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects.
    Lu G; Yang F; Taylor JA; Stein JF
    J Med Eng Technol; 2009; 33(8):634-41. PubMed ID: 19848857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Limitations of oximetry to measure heart rate variability measures.
    Lu G; Yang F
    Cardiovasc Eng; 2009 Sep; 9(3):119-25. PubMed ID: 19728090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 2015():5952-5. PubMed ID: 26737647
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 40(2):025007. PubMed ID: 30669123
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Wireless photoplethysmographic device for heart rate variability signal acquisition and analysis.
    Reyes I; Nazeran H; Franco M; Haltiwanger E
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():2092-5. PubMed ID: 23366333
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography.
    Selvaraj N; Jaryal A; Santhosh J; Deepak KK; Anand S
    J Med Eng Technol; 2008; 32(6):479-84. PubMed ID: 18663635
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects.
    Weinschenk SW; Beise RD; Lorenz J
    Eur J Appl Physiol; 2016 Aug; 116(8):1527-35. PubMed ID: 27278521
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 22(4):. PubMed ID: 35214329
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 41(3):035001. PubMed ID: 32079008
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method.
    Nardelli M; Vanello N; Galperti G; Greco A; Scilingo EP
    Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32498403
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 2018():3558-3561. PubMed ID: 30441147
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantification of error between the heartbeat intervals measured form photoplethysmogram and electrocardiogram by synchronisation.
    Kuntamalla S; Lekkala RGR
    J Med Eng Technol; 2018 Jul; 42(5):389-396. PubMed ID: 30324857
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. Photoplethysmography as a Potential Alternative to Electrocardiography for Recording Heart Rate Intervals Used in Variability Analysis.
    Mirescu ŞC; Harden SW
    J Med Life; 2012; 5(Spec Issue):123-128. PubMed ID: 31803299
    [No Abstract]   [Full Text] [Related]  

  • 17. Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.
    Wu HT; Lewis GF; Davila MI; Daubechies I; Porges SW
    Methods Inf Med; 2016 Oct; 55(5):463-472. PubMed ID: 27626806
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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; 2018():4038034. PubMed ID: 29666670
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Toward Hypertension Prediction Based on PPG-Derived HRV Signals: a Feasibility Study.
    Lan KC; Raknim P; Kao WF; Huang JH
    J Med Syst; 2018 Apr; 42(6):103. PubMed ID: 29680866
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 48.