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Items: 1 to 20 of 391

1.

Heart rate variability: comparison among devices with different temporal resolutions.

Chellakumar PJ, Brumfield A, Kunderu K, Schopper AW.

Physiol Meas. 2005 Dec;26(6):979-86. Epub 2005 Oct 17.

PMID:
16311446
2.

Real time measurement of RR intervals using a digital signal processor.

Buttfield AC, Bolton MP.

J Med Eng Technol. 2005 Jan-Feb;29(1):8-13.

PMID:
15764375
3.
4.

Limitations of oximetry to measure heart rate variability measures.

Lu G, Yang F.

Cardiovasc Eng. 2009 Sep;9(3):119-25. doi: 10.1007/s10558-009-9082-3.

PMID:
19728090
5.

Short-term studies of heart rate variability: comparison of two methods for recording.

Migliaro ER, Canetti R, Contreras P, Hakas M, Eirea G, Machado A.

Physiol Meas. 2004 Dec;25(6):N15-20.

PMID:
15712730
6.

Sampling frequency of the RR interval time series for spectral analysis of heart rate variability.

Singh D, Vinod K, Saxena SC.

J Med Eng Technol. 2004 Nov-Dec;28(6):263-72.

PMID:
15513744
7.

Correlations between the Poincaré plot and conventional heart rate variability parameters assessed during paced breathing.

Guzik P, Piskorski J, Krauze T, Schneider R, Wesseling KH, Wykretowicz A, Wysocki H.

J Physiol Sci. 2007 Feb;57(1):63-71. Epub 2007 Feb 3.

PMID:
17266795
8.

The efficiency of 10-second resting heart rate for the evaluation of short-term heart rate variability indices.

Nussinovitch U, Elishkevitz KP, Kaminer K, Nussinovitch M, Segev S, Volovitz B, Nussinovitch N.

Pacing Clin Electrophysiol. 2011 Nov;34(11):1498-502. doi: 10.1111/j.1540-8159.2011.03178.x.

PMID:
21797904
9.
10.

Influence of 50 Hz magnetic field on human heart rate variability: linear and nonlinear analysis.

Tabor Z, Michalski J, Rokita E.

Bioelectromagnetics. 2004 Sep;25(6):474-80.

PMID:
15300734
11.

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 Nov-Dec;32(6):479-84. doi: 10.1080/03091900701781317.

PMID:
18663635
12.

Structural relationships between measures based on heart beat intervals: potential for improved risk assessment.

Hallstrom AP, Stein PK, Schneider R, Hodges M, Schmidt G, Ulm K.

IEEE Trans Biomed Eng. 2004 Aug;51(8):1414-20.

PMID:
15311827
13.

[The automatic, beat-to-beat determination of the QT interval and analysis of its spontaneous variability under basal conditions].

Chorro Gascó FJ, Guerrero Martínez J, Martínez Sober M, Soria Olivas E, Sanchís Forés J, Ibáñez Candela M, Espí López J, López Merino V.

Rev Esp Cardiol. 1995 Nov;48(11):722-31. Spanish.

PMID:
8532941
14.

Heart rate variability in the fetus: a comparison of measures.

Van Leeuwen P, Lange S, Geue D, Grönemeyer D.

Biomed Tech (Berl). 2007 Feb;52(1):61-5.

PMID:
17313336
15.

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
16.

Heart rate variability fraction--a new reportable measure of 24-hour R-R interval variation.

Sosnowski M, Clark E, Latif S, Macfarlane PW, Tendera M.

Ann Noninvasive Electrocardiol. 2005 Jan;10(1):7-15.

PMID:
15649232
17.

Time domain parameters can be estimated with less statistical error than frequency domain parameters in the analysis of heart rate variability.

Kuss O, Schumann B, Kluttig A, Greiser KH, Haerting J.

J Electrocardiol. 2008 Jul-Aug;41(4):287-91. doi: 10.1016/j.jelectrocard.2008.02.014. Epub 2008 Mar 25.

PMID:
18367200
18.

Scaling characteristics of heart rate time series before the onset of ventricular tachycardia.

Baumert M, Wessel N, Schirdewan A, Voss A, Abbott D.

Ann Biomed Eng. 2007 Feb;35(2):201-7. Epub 2006 Dec 14.

PMID:
17171301
19.

Quantifying errors in spectral estimates of HRV due to beat replacement and resampling.

Clifford GD, Tarassenko L.

IEEE Trans Biomed Eng. 2005 Apr;52(4):630-8.

PMID:
15825865
20.

Heart rate variability measures during sinus rhythm predict cycle length entropy during atrial fibrillation.

Segerson NM, Smith ML, Wasmund SL, Lux RL, Daccarett M, Hamdan MH.

J Cardiovasc Electrophysiol. 2008 Oct;19(10):1031-6. doi: 10.1111/j.1540-8167.2008.01174.x. Epub 2008 May 2.

PMID:
18462335
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