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Items: 1 to 20 of 99

1.

Heart rate variability analysis during central hypovolemia using wavelet transformation.

Ji SY, Belle A, Ward KR, Ryan KL, Rickards CA, Convertino VA, Najarian K.

J Clin Monit Comput. 2013 Jun;27(3):289-302. doi: 10.1007/s10877-013-9434-9. Epub 2013 Feb 1.

PMID:
23371800
2.

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 1;116(5):486-94. doi: 10.1152/japplphysiol.00012.2013. Epub 2014 Jan 9.

3.

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. doi: 10.1097/SHK.0b013e3181cd8cbe.

PMID:
19997052
4.

Influence of progressive central hypovolemia on Hölder exponent distributions of cardiac interbeat intervals.

West BJ, Scafetta N, Cooke WH, Balocchi R.

Ann Biomed Eng. 2004 Aug;32(8):1077-87.

PMID:
15446504
5.

A comparison of real-time performance of signal processing algorithms for minimum latency detection of hypovolemic States.

Jovanov E, Cox P, Saul JP, Salinas J, Ryan KL, Convertino VA.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1674-7.

PMID:
17946916
6.

A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation.

Belle A, Ansari S, Spadafore M, Convertino VA, Ward KR, Derksen H, Najarian K.

PLoS One. 2016 Feb 12;11(2):e0148544. doi: 10.1371/journal.pone.0148544. eCollection 2016.

7.

Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers part 2: frequency domain analysis.

Alian AA, Galante NJ, Stachenfeld NS, Silverman DG, Shelley KH.

J Clin Monit Comput. 2011 Dec;25(6):387-96. doi: 10.1007/s10877-011-9317-x. Epub 2011 Nov 6.

PMID:
22057245
8.

Heart rate variability and stroke volume variability to detect central hypovolemia during spontaneous breathing and supported ventilation in young, healthy volunteers.

Elstad M, Walløe L.

Physiol Meas. 2015 Apr;36(4):671-81. doi: 10.1088/0967-3334/36/4/671. Epub 2015 Mar 23.

PMID:
25799094
9.

Wavelet packet transform for R-R interval variability.

Tanaka K, Hargens AR.

Med Eng Phys. 2004 May;26(4):313-9.

PMID:
15121056
10.

Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.

Ebrahimi F, Setarehdan SK, Ayala-Moyeda J, Nazeran H.

Comput Methods Programs Biomed. 2013 Oct;112(1):47-57. doi: 10.1016/j.cmpb.2013.06.007. Epub 2013 Jul 26.

PMID:
23895941
11.
12.

Multiscale sample entropy based on discrete wavelet transform for clinical heart rate variability recognition.

Lee MY, Yu SN.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4299-302. doi: 10.1109/EMBC.2012.6346917.

PMID:
23366878
13.

Predictors of the Onset of Hemodynamic Decompensation During Progressive Central Hypovolemia: Comparison of the Peripheral Perfusion Index, Pulse Pressure Variability, and Compensatory Reserve Index.

Janak JC, Howard JT, Goei KA, Weber R, Muniz GW, Hinojosa-Laborde C, Convertino VA.

Shock. 2015 Dec;44(6):548-53. doi: 10.1097/SHK.0000000000000480.

PMID:
26529655
14.

Fractal analyses of HRV signals: a comparative study.

Akay M, Fischer R.

Methods Inf Med. 1997 Dec;36(4-5):271-3.

PMID:
9470376
15.

[A method to estimate the short-term fractal dimension of heart rate variability based on wavelet transform].

Zhonggang L, Hong Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Oct;23(5):981-5. Chinese.

PMID:
17121336
16.

Cardiac stroke volume variability measured non-invasively by three methods for detection of central hypovolemia in healthy humans.

Holme NL, Rein EB, Elstad M.

Eur J Appl Physiol. 2016 Dec;116(11-12):2187-2196. Epub 2016 Sep 10.

PMID:
27614883
17.

Kullback-Leibler clustering of continuous wavelet transform measures of heart rate variability.

Mager DE, Merritt MM, Kasturi J, Witkin LR, Urdiqui-Macdonald M, Sollers JJ 3rd, Evans MK, Zonderman AB, Abernethy DR, Thayer JF.

Biomed Sci Instrum. 2004;40:337-42.

PMID:
15133981
18.

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;84(9):907-12.

PMID:
24024301
19.

Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers. Part 1: time domain analysis.

Alian AA, Galante NJ, Stachenfeld NS, Silverman DG, Shelley KH.

J Clin Monit Comput. 2011 Dec;25(6):377-85. doi: 10.1007/s10877-011-9316-y. Epub 2011 Nov 4.

PMID:
22051898
20.

Enhanced vagal withdrawal during mild orthostatic stress in adolescents with chronic fatigue.

Wyller VB, Barbieri R, Thaulow E, Saul JP.

Ann Noninvasive Electrocardiol. 2008 Jan;13(1):67-73. doi: 10.1111/j.1542-474X.2007.00202.x.

PMID:
18234008

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