1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
oa
Multifractal analysis of laser Doppler flowmetry signals before and after arm-cranking exercise in an older healthy population
Rent:
Rent this article for
Access full text Article
/content/aapm/journal/medphys/40/2/10.1118/1.4774362
1.
1. M. L. Iabichella, E. Melillo, and G. Mosti, “A review of microvascular measurements in wound healing,” Int. J. Low. Extrem. Wounds 5, 181199 (2006).
http://dx.doi.org/10.1177/1534734606292492
2.
2. M. Klonizakis, J. M. Yeung, K. Lingam, J. R. Nash, G. Manning, and R. Donnelly, “Contrasting effects of varicose vein surgery on endothelial-dependent and independent cutaneous vasodilation in the perimalleolar region,” Eur. J. Vasc. Endovasc Surg. 31, 434438 (2006).
http://dx.doi.org/10.1016/j.ejvs.2005.10.017
3.
3. B. Kahaleh, “Vascular disease in scleroderma: Mechanisms of vascular injury,” Rheum. Dis. Clin. North Am. 34(1), 5771 (2008).
http://dx.doi.org/10.1016/j.rdc.2007.12.004
4.
4. M. A. James, J. Tullett, A. G. Hemsley, and A. C. Shore, “Effects of aging and hypertension on the microcirculation,” Hypertension 47, 968974 (2006).
http://dx.doi.org/10.1161/10.1161/01.HYP.0000209939.05482.61
5.
5. M. Klonizakis and E. Winter, “Effects of arm-cranking exercise in cutaneous microcirculation in older, sedentary people,” Microvasc. Res. 81(3), 331336 (2011).
http://dx.doi.org/10.1016/j.mvr.2011.01.008
6.
6. S. Muraki, M. Yamasaki, K. Ishii, K. Kikuchi, and K. Seki, “Effect of arm cranking exercise on skin blood flow of lower limb in people with injuries to the spinal cord,” Eur. J. Appl. Physiol. 71(1), 2832 (1995).
http://dx.doi.org/10.1007/BF00511229
7.
7. M. Klonizakis, G. A. Tew, J. A. Michaels, and J. M. Saxton, “Effects of upper-limb exercise on lower-limb cutaneous microvascular function in post-surgical varicose-vein patients,” Eur. J. Appl. Physiol. 109(6), 12211224 (2010).
http://dx.doi.org/10.1007/s00421-010-1471-1
8.
8. C. Leeuwenburgh and J. W. Heinecke, “Oxidative stress and antioxidants in exercise,” Curr. Med. Chem. 8(7), 829838 (2001).
http://dx.doi.org/10.2174/0929867013372896
9.
9. M. A. Black, D. J. Green, and N. T. Cable, “Exercise prevents age-related decline in nitric-oxide-mediated vasodilator function in cutaneous microvessels,” J. Physiol. 586, 35113524 (2008).
http://dx.doi.org/10.1113/jphysiol.2008.153742
10.
10. D. J. Green, A. Maiorana, G. O’Driscoll, and R. Taylor, “Effect of exercise training on endothelium-derived nitric oxide function in humans,” J. Physiol. 561, 125 (2004).
http://dx.doi.org/10.1113/jphysiol.2004.068197
11.
11. A. Humeau, W. Steenbergen, H. Nilsson, and T. Strömberg, “Laser Doppler perfusion monitoring and imaging: Novel approaches,” Med. Biol. Eng. Comput. 45, 421435 (2007).
http://dx.doi.org/10.1007/s11517-007-0170-5
12.
12. A. Humeau-Heurtier, G. Mahé, S. Durand, D. Henrion, and P. Abraham, “Laser speckle contrast imaging: Multifractal analysis of data recorded in healthy subjects,” Med. Phys. 39(10), 58495856 (2012).
http://dx.doi.org/10.1118/1.4748506
13.
13. A. Humeau, F. Chapeau-Blondeau, D. Rousseau, P. Rousseau, W. Trzepizur, and P. Abraham, “Multifractality, sample entropy, and wavelet analyses for age-related changes in the peripheral cardiovascular system: Preliminary results,” Med. Phys. 35, 717723 (2008).
http://dx.doi.org/10.1118/1.2831909
14.
14. E. Figueiras, M. Roustit, S. Semedo, L. F. Ferreira, J. L. Crascowski, and A. Humeau, “Sample entropy of laser Doppler flowmetry signals increases in patients with systemic sclerosis,” Microvasc. Res. 82(2), 152155 (2011).
http://dx.doi.org/10.1016/j.mvr.2011.05.007
15.
15. A. Humeau, B. Buard, F. Chapeau-Blondeau, D. Rousseau, G. Mahé, and P. Abraham, “Multifractal analysis of central (electrocardiography) and peripheral (laser Doppler flowmetry) cardiovascular time series from healthy human subjects,” Physiol. Meas. 30, 617629 (2009).
http://dx.doi.org/10.1088/0967-3334/30/7/007
16.
16. A. Humeau, B. Buard, F. Chapeau-Blondeau, D. Rousseau, G. Mahé, and P. Abraham, “Multifractal analysis of heart rate variability and laser Doppler flowmetry fluctuations: Comparison of results from different numerical methods,” Phys. Med. Biol. 55(20), 62796297 (2010).
http://dx.doi.org/10.1088/0031-9155/55/20/015
17.
17. B. Buard, G. Mahé, F. Chapeau-Blondeau, D. Rousseau, P. Abraham, and A. Humeau, “Generalized fractal dimensions of laser Doppler flowmetry signals recorded from glabrous and nonglabrous skin,” Med. Phys. 37, 28272836 (2010).
http://dx.doi.org/10.1118/1.3395577
18.
18. E. S. C. Ching and Y. K. Tsang, “Multifractality and scale invariance in human heartbeat dynamics,” Phys. Rev. E 76(4 Pt 1), 041910 (2007).
http://dx.doi.org/10.1103/PhysRevE.76.041910
19.
19. R. Sassi, M. G. Signorini, and S. Cerutti, “Multifractality and heart rate variability,” Chaos 19(2), 02850710285075 (2009).
http://dx.doi.org/10.1063/1.3152223
20.
20. N. Charkoudian and J. M. Johnson, “Altered reflex control of cutaneous circulation by female sex steroids is independent of prostaglandins,” Am. J. Physiol. 276(5 Pt 2), H1634H1640 (1999).
21.
21. M. Klonizakis, G. A. Tew, J. A. Michaels, and J. M. Saxton, “Impaired microvascular endothelial function is restored by acute lower limb exercise in post-surgical varicose vein patients,” Microvasc. Res. 77, 158162 (2009).
http://dx.doi.org/10.1016/j.mvr.2008.09.009
22.
22. T. C. Halsey, M. H. Jensen, L. P. Kadanoff, I. Procaccia, and B. I. Shraiman, “Fractal measures and their singularities: The characterization of strange sets,” Phys. Rev. A 33, 11411151 (1986).
http://dx.doi.org/10.1103/PhysRevA.33.1141
23.
23. J. Feder, Fractals (Plenum, New York, 1988).
24.
24. P. Kvandal, S. A. Landsverk, A. Bernjak, A. Stefanovska, H. D. Kvernmo, and K. A. Kirkeboen, “Low-frequency oscillations of the laser Doppler perfusion signal in human skin,” Microvasc. Res. 72, 120127 (2006).
http://dx.doi.org/10.1016/j.mvr.2006.05.006
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/2/10.1118/1.4774362
Loading
/content/aapm/journal/medphys/40/2/10.1118/1.4774362
Loading

Data & Media loading...

Loading

Article metrics loading...

/content/aapm/journal/medphys/40/2/10.1118/1.4774362
2013-01-11
2015-05-29

Abstract

Purpose:

There is a lot of speculation about the role of nitric-oxide (NO) in the improvement usually noticed in microcirculatory function, following exercise. The knowledge of the underlying mechanisms leading to such an improvement is important as it may help in targeting and implementing therapies for microcirculatory diseases. Through a laser Doppler flowmetry (LDF) signal processing study, the authors’ goal is to compare multifractal spectra of LDF data recorded in both lower leg and forearm, during different exercise conditions, in an older, untrained but healthy population.

Methods:

Using the method suggested byHalsey et al. [Phys. Rev. A33, 1141–1151 (Year: 1986)10.1103/PhysRevA.33.1141], multifractal spectra of LDF signals recorded on lower leg and forearm before and after exercise (arm-cranking), before and after acetylcholine (ACh) iontophoresis, were determined on scales in relation with the NO-dependent endothelial activity. The width of each multifractal spectrum was then computed through the maximum and minimum Hölder exponent values for which the multifractal spectrum reaches its minimal values. The results were then compared.

Results:

Following exercise and on the scales studied, the average width of the multifractal spectra in both lower leg and forearm does not vary significantly before and after ACh iontophoresis. Similarly, following ACh iontophoresis and exercise, the average width of multifractal spectra remains statistically unchanged, when compared to that measured prior to exercise, in both upper and lower body, although negative trends can be observed.

Conclusions:

For the authors’ population and for the type of exercise that the authors have chosen, the authors showed that the width of the multifractal spectra of LDF signals does not change significantly on scales in relation with the NO-dependent endothelial activity. Future studies may involve comparisons with signals obtained in patient populations.

Loading

Full text loading...

/deliver/fulltext/aapm/journal/medphys/40/2/1.4774362.html;jsessionid=3mhhfn568dbo7.x-aip-live-02?itemId=/content/aapm/journal/medphys/40/2/10.1118/1.4774362&mimeType=html&fmt=ahah&containerItemId=content/aapm/journal/medphys
true
true
This is a required field
Please enter a valid email address

Oops! This section, does not exist...

Use the links on this page to find existing content.

752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Multifractal analysis of laser Doppler flowmetry signals before and after arm-cranking exercise in an older healthy population
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/2/10.1118/1.4774362
10.1118/1.4774362
SEARCH_EXPAND_ITEM