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Journal Abstract Search

183 related items for PubMed ID: 21795890

  • 1. Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
    Convertino VA, Moulton SL, Grudic GZ, Rickards CA, Hinojosa-Laborde C, Gerhardt RT, Blackbourne LH, Ryan KL.
    J Trauma; 2011 Jul; 71(1 Suppl):S25-32. PubMed ID: 21795890
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  • 3. Physiological and medical monitoring for en route care of combat casualties.
    Convertino VA, Ryan KL, Rickards CA, Salinas J, McManus JG, Cooke WH, Holcomb JB.
    J Trauma; 2008 Apr; 64(4 Suppl):S342-53. PubMed ID: 18385586
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  • 5. The physiology of blood loss and shock: New insights from a human laboratory model of hemorrhage.
    Schiller AM, Howard JT, Convertino VA.
    Exp Biol Med (Maywood); 2017 Apr; 242(8):874-883. PubMed ID: 28346013
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  • 7. Tracking central hypovolemia with ecg in humans: cautions for the use of heart period variability in patient monitoring.
    Ryan KL, Rickards CA, Ludwig DA, Convertino VA.
    Shock; 2010 Jun; 33(6):583-9. PubMed ID: 19997052
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  • 8. Autonomic compensation to simulated hemorrhage monitored with heart period variability.
    Cooke WH, Rickards CA, Ryan KL, Convertino VA.
    Crit Care Med; 2008 Jun; 36(6):1892-9. PubMed ID: 18496361
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  • 10. Temporal physiologic patterns of shock and circulatory dysfunction based on early descriptions by invasive and noninvasive monitoring.
    Shoemaker WC.
    New Horiz; 1996 May; 4(2):300-18. PubMed ID: 8774804
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  • 11. Lightweight noninvasive trauma monitor for early indication of central hypovolemia and tissue acidosis: a review.
    Soller BR, Zou F, Ryan KL, Rickards CA, Ward K, Convertino VA.
    J Trauma Acute Care Surg; 2012 Aug; 73(2 Suppl 1):S106-11. PubMed ID: 22847078
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  • 12. Are you bleeding? Validation of a machine-learning algorithm for determination of blood volume status: application to remote triage.
    Rickards CA, Vyas N, Ryan KL, Ward KR, Andre D, Hurst GM, Barrera CR, Convertino VA.
    J Appl Physiol (1985); 2014 Mar 01; 116(5):486-94. PubMed ID: 24408992
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  • 13. A sensitive shock index for real-time patient assessment during simulated hemorrhage.
    Van Sickle C, Schafer K, Mulligan J, Grudic GZ, Moulton SL, Convertino VA.
    Aviat Space Environ Med; 2013 Sep 01; 84(9):907-12. PubMed ID: 24024301
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  • 14. Lower body negative pressure as a model to study progression to acute hemorrhagic shock in humans.
    Cooke WH, Ryan KL, Convertino VA.
    J Appl Physiol (1985); 2004 Apr 01; 96(4):1249-61. PubMed ID: 15016789
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  • 16. Inspiratory resistance maintains arterial pressure during central hypovolemia: implications for treatment of patients with severe hemorrhage.
    Convertino VA, Ryan KL, Rickards CA, Cooke WH, Idris AH, Metzger A, Holcomb JB, Adams BD, Lurie KG.
    Crit Care Med; 2007 Apr 01; 35(4):1145-52. PubMed ID: 17334239
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  • 18. [Assessment of stroke volume variation and intrathoracic blood volume index on the responsiveness to volume loading in mechanically ventilated canine with hemorrhagic shock].
    Liu SQ, Qiu HB, Yang Y, Chen YM, Li JQ, Shen JF.
    Zhonghua Wai Ke Za Zhi; 2006 Sep 01; 44(17):1216-9. PubMed ID: 17147872
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  • 19. An enhanced automatic algorithm for estimation of respiratory variations in arterial pulse pressure during regions of abrupt hemodynamic changes.
    Aboy M, Crespo C, Austin D.
    IEEE Trans Biomed Eng; 2009 Oct 01; 56(10):2537-45. PubMed ID: 19535315
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