BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 16311452)

  • 1. Estimation of breathing interval from the photoplethysmographic signals in children.
    Foo JY; Wilson SJ
    Physiol Meas; 2005 Dec; 26(6):1049-58. PubMed ID: 16311452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Variability in time delay between two models of pulse oximeters for deriving the photoplethysmographic signals.
    Foo JY; Wilson SJ; Dakin C; Williams G; Harris MA; Cooper D
    Physiol Meas; 2005 Aug; 26(4):531-44. PubMed ID: 15886446
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection method to minimize variability in photoplethysmographic signals for timing-related measurement.
    Foo JY; Wilson SJ
    J Med Eng Technol; 2006; 30(2):93-6. PubMed ID: 16531348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combined photoplethysmographic monitoring of respiration rate and pulse: a comparison between different measurement sites in spontaneously breathing subjects.
    Nilsson L; Goscinski T; Kalman S; Lindberg LG; Johansson A
    Acta Anaesthesiol Scand; 2007 Oct; 51(9):1250-7. PubMed ID: 17711563
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Motion artifact reduction in photoplethysmography using independent component analysis.
    Kim BS; Yoo SK
    IEEE Trans Biomed Eng; 2006 Mar; 53(3):566-8. PubMed ID: 16532785
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. PTT variability for discrimination of sleep apnea related decreases in the amplitude fluctuations of PPG signal in children.
    Gil E; Bailón R; Vergara JM; Laguna P
    IEEE Trans Biomed Eng; 2010 May; 57(5):1079-88. PubMed ID: 20142152
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using time-frequency analysis of the photoplethysmographic waveform to detect the withdrawal of 900 mL of blood.
    Scully CG; Selvaraj N; Romberg FW; Wardhan R; Ryan J; Florian JP; Silverman DG; Shelley KH; Chon KH
    Anesth Analg; 2012 Jul; 115(1):74-81. PubMed ID: 22543068
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimized symbolic dynamics approach for the analysis of the respiratory pattern.
    Caminal P; Vallverdú M; Giraldo B; Benito S; Vázquez G; Voss A
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1832-9. PubMed ID: 16285386
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode.
    Nilsson L; Johansson A; Kalman S
    Acta Anaesthesiol Scand; 2005 Sep; 49(8):1157-62. PubMed ID: 16095458
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving estimation of cardiac vagal tone during spontaneous breathing using a paced breathing calibration.
    Wilhelm FH; Grossman P; Coyle MA
    Biomed Sci Instrum; 2004; 40():317-24. PubMed ID: 15133978
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Automated estimation of the phase between thoracic and abdominal movement signals.
    Motto AL; Galiana HL; Brown KA; Kearney RE
    IEEE Trans Biomed Eng; 2005 Apr; 52(4):614-21. PubMed ID: 15825863
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adaptive and wavelet filtering methods for improving accuracy of respiratory measurement.
    Keenan DB; Wilhelm FH
    Biomed Sci Instrum; 2005; 41():37-42. PubMed ID: 15850079
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Early experience with remote pressure sensor respiratory plethysmography monitoring sedation in the MR scanner.
    Caldiroli D; Minati L
    Eur J Anaesthesiol; 2007 Sep; 24(9):761-9. PubMed ID: 17517150
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Changes induced in the lower- and upper-limb pulse transit-time ratio during inspiratory resistive breathing.
    Foo JY; Lim CS
    Biomed Tech (Berl); 2007 Jun; 52(3):248-54. PubMed ID: 17561786
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using the multi-parameter variability of photoplethysmographic signals to evaluate short-term cardiovascular regulation.
    Chen X; Liu N; Huang Y; Yun F; Wang J; Li J
    J Clin Monit Comput; 2015 Oct; 29(5):605-12. PubMed ID: 25408376
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Comparison of respiratory-induced variations in photoplethysmographic signals.
    Li J; Jin J; Chen X; Sun W; Guo P
    Physiol Meas; 2010 Mar; 31(3):415-25. PubMed ID: 20147775
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.