Abstract
Regulation of microcirculation and other physiological processes have strong non-linear character and involves complex of different processes, every process with own hierarchy in time and different frequencies. Traditional Fourier analysis does not provide sufficient power and resolution to elucidate characteristic of low vasomotor frequencies. Therefore, we apply a Time–frequency (wavelet) analysis on the signal obtained by Laser Doppler flow meter (LDF) at 25 healthy volunteers, exposed at the same time to low frequency electromagnetic fields, used for physiotherapy. Signal processing include Matlab based algorithms for digital signal processing (DSP) and Matlab Spectral analysis toolbox of simultaneous registered variations in Blood Pressure (BP), Laser Doppler Flow (LDF), and Intravital microscopy (IVM). It provides useful information about regulatory mechanisms and vegetative nervous system regulation of peripheral blood flow. Continuous changes in blood pressure variations and perfusion of extremities were measured prior and after 10, 20, and 30 min ELF-EMF (10, 16, 20, and 30 mT), exposure. After wavelet analysis of the blood flow signals and vasomotion changes signals, several frequency bands were distinguished: 0.0095–0.02 Hz; (α), 0.02–0.06 Hz; (β), 0.06–0.15 Hz; (γ), 0.15–0.4 Hz; (δ), and 0.4–1 Hz; (θ) for LDF data and 0.0095–0.4 Hz; (α), 0.4–0.75 Hz; (β), 0.75–0.9 Hz; (γ), 0.9–1.2 Hz; (δ), and 1.2–2 Hz; (θ) for IVM data. In this study, overlapping of some frequency bands between IVM and LDF data were found. Overlapping of the frequency bands has two ways of interpretation, one related with similarity of the structures and tissues and other related with output of ELF-EMF stimulation. We used also correlation and cross-correlation analysis to compare non-invasive (BP measurements and LDF) data, with invasive intravital microscopy (IVM) data (obtained on animals in vivo), during ELF-EMF stimulation. IVM data were used as a reference value, for certain information of possible mechanisms of biological response at the tissue and blood vessel level after ELF-EMF exposure with frequency in the range from 10 to 50 Hz and magnetic flux density of 20 mT. Comparative analysis of IVM and LDF, frequency bands show that they have statistical significant changes after ELF-EMF stimulation. Five subintervals were confirmed (α-, β-, γ-, δ-, and θ). The findings indicate that local ELF-EMF exposure at the constant temperature of the media increases skin blood flow at the upper extremities which have a contribution to the α-frequency band at IVM.
Similar content being viewed by others
References
Aalkjaer C, Nilsson H (2005) Vasomotion: cellular background for the oscillator and for the synchronization of smooth muscle cells. Br J Pharmacol 1–24, [Epub ahead of print]
Akselrod S (1988) Spectral analysis of fluctuations in cardiovascular parameters: A quantitative tool for the investigation of autonomic control. Trends Pharmacol Sci 9:6–9
Bollinger A, Yanar A, Hoffmann U, Franzeck UK (1993) Is high-frequency fluxmotion due to respiration or to vasomotion activity? In: Messmer K (ed) Progress in applied microcirculation. Karger, Basel, pp 52–58
Bracic M, Stefanovska A (1998) Wavelet based analysis of human blood flow dynamics. Bull Math Biol 60:417–433
Braune S, Riedel A, Schulte-Monting J, Raczek J (2002) Influence of a radiofrequency electromagnetic field on cardiovascular and hormonal parameters of the autonomic nervous system in healthy individuals. J Radiat Res 158:352–356
Colantuoni A, Bertuglia S, Coppini G, Donato L (1990) Superposition of arteriolar vasomotion waves and regulation of blood flow in skeletal muscle microcirculation. Adv Exp Med Biol 277(1):549–558
Daubechies I (1990) The wavelet transform time-frequency localization and signal analysis. IEEE Trans Inform Theory 36:961–1004
Farge M (1992) Wavelet transforms and their applications to turbulence. Annu Rev Fluid Mech 24:395–457
Geyer MJ, Yih-Kuen J, Brienza DM, Boninger IL (2004) Using wavelet analysis to characterize the thermoregulatory mechanisms of sacral skin blood flow. J Rehabil Res Develop 41(6A):797–806
Golenhofen K (1970) Slow rhythms in smooth muscle. In: Buhlbring E, Brading AF, Jones AW, Tomita T (eds) smooth muscle. Edward Arnold Ltd, London, pp 316–342
Hoffman U, Franzeck UK, Geiger M, Bollinger A (1990) Variability of different patterns of skin oscillatory flux in healthy controls and patients with peripheral arterial occlusive disease. Int J Microcirc Clin Exp 12:255–273
Ieran M, Zaffuto S, Bagnacani M, Annovi M, Moratti A, Cadossi R (1990) Effect of low frequency pulsing electromagnetic fields on skin ulcers of venous origin in humans: a double-blind study. J Orthop Res 8(2):276–282
Johansson B, Mellander S (1975) Static and dynamic changes in the vascular myogenic response to passive changes in length as revealed by electrical and mechanical recording from the rat portal vein. Circ Res 36(1):76–83
Johnson PC (1986) Autoregulation of blood flow. Circulation 59(1):483–495
Johnson PC (1991) The myogenic response. News Physiol Sci 6:41–42
Kastrup J, Buhlow J, Lassen NA (1989) Vasomotion in human skin before and after local heating recorded with laser Doppler flowmetry. A method for induction of vasomotion. Int J Microcirc Clin Exp 8:205–215
Kingwell BA, Tran B, Cameron JD (1996) Enhanced vasodilation to acetylcholine in athletes in associated with lower plasma cholesterol. Am J Physiol 270:H2008–H2013
Kvernmo HD, Stefanovska A, Bracic M, Kirkeboen KA, Kvernebo K (1998) Spectral analysis of the laser Doppler perfusion signal in human skin before and after exercise. Microvasc Res 56:173–182
Landsverk SA, Kvandal P, Bernjak A, Stefanovska A, Kirkeboen KA (2007) The effects of general anesthesia on human skin microcirculation evaluated by wavelet transform. J Anesth Analg 105(4):1012–1019
Loschinger M, Thumm S, Hammerle H, Rodemann HP (1999) Induction of intracellular calcium oscillations in human skin fibroblast populations by sinusoidal extremely low-frequency magnetic fields (20 Hz, 8 mT) is dependent on the differentiation state of the single cell. Radiat Res 151(2):195–200
Maruyama S, Ohkubo C (1994) Acute effects of static magnetic fields and extremely low frequency electromagnetic fields on cutaneous microcirculation in rabbits (Part2). Nihon-Igakukan, Tokyo
Meyer JU, Borgstrom P, Lindblom L, Intaglietta M (1988) Vasomotion patterns in skeletal muscle arterioles during changes in arterial pressure. Microvasc Res 35:193–203
Morlet J (1983) Sampling theory and wave propagation. In: Chen CH (ed) NATO ASI series, vol I, Issues in acoustic signal/image processing and recognition. Springer Verlag, Berlin
Morris C, Skalak T (2005) Static magnetic fields alter arteriolar tone in vivo. Bioelectromagnetics 26(1):1–9
Muck-Weymann ME, Albrecht H-P, Hiller D, Hornstein OP, Bauer RD (1994) Breath-dependent laser-Doppler-fluxmotion in skin. VASA 4:299–304
Muck-Weymann ME, Albrecht H-P, Hager D, Hiller D, Hornstein OP, Bauer RD (1996) Respiratory-dependent laser-Doppler flux motion in different skin areas and its meaning to autonomic nervous control of the vessels of the skin. Microvasc Res 52:69–78
Nilsson H, Aalkjaer C (2003) Vasomotion: mechanisms and physiological importance. Mol Interv 3(2):79–89
Ohkubo C, Xu S (1997) Acute effects of static magnetic fields on cutaneous microcirculation in rabbits. In Vivo 11(3):221–225
Ohkubo C, Gmitrov J, Xu S, Nakayama E (1997) Vasodilator effects of static magnetic fields on cutaneous microcirculation under increased vascular tone in the rabbits. Nihon-Igakukan, Tokyo
Okano H, Ohkubo C (1998) Vasoconstrcting effects of static magnetic fields on cutaneous microcirculation under decreased vascular tone in the rabbit. Nihon-Igakukan, Tokyo
Oppenheim AV, Schaefer RW (1975) Digital signal processing. Prentice Hall, NJ
Sander D, Meyer BU, Roricht S, Klingelhofer J (1995) Effect of hemisphere-selective repetitive magnetic brain stimulation on middle cerebral artery blood flow velocity. Electroencephalogr Clin Neurophysiol 97(1):43–48
Sander D, Meyer BU, Roricht S, Matzander G, Klingelhofer J (1996) Increase of posterior cerebral artery blood flow velocity during threshold repetitive magnetic stimulation of the human visual cortex: hints for neuronal activation without cortical phosphenes. Electroencephalogr Clin Neurophysiol 99(5):473–478
Smith TL, Wong-Gibbons D, Maultsby J (2004) Microcirculatory effects of pulsed electromagnetic fields. J Orthop Res 22(1):80–84
Stefanovska A (1992) Self-organization of biological systems influenced by electrical current. Thesis, Faculty of Electrical Engineering, University of Ljubljana, Slovenia
Stefanovska A, Kroselj P (1997) Correlation integral and frequency analysis of cardiovascular functions. Open Sys Inform Dyn 4:457–478
Takeshige C, Sato M (1996) Comparisons of pain relief mechanisms between needling to the muscle, static magnetic field, external qigong and needling to the acupuncture point. Acupunct Electrother Res 21(2):119–131
Traikov L, Ushiyama A, Lawlor G, Sasaki R, Ohkubo C (2006) Changes of the Magnitude of arteriolar Vasomotion during and after ELF-EMF exposure in vivo. In: Ayrapetyan N and Markov MS (eds) NATO-advance research book “Current concepts in bioelectromagnetics”, vol 1. Springer, Printed in the Netherlands, pp 377–389
Vandeput JJ, Tanner JC, Beckers R (1990) Photoelectric plethysmography in monitoring skin circulation. South Med J 83(5):533–537
Xu S, Okano H, Ohkubo C (2000) Acute effects of whole-body exposure to static magnetic fields and 50-Hz electromagnetic fields on muscle microcirculation in anesthetized mice. Bioelectrochemistry 53(1):127–135
Acknowledgments
This work was partially supported by Grant 10134 of the UCTM-2006, Sofia, Bulgaria; and by Japanese Society of Promotion of Science (JSPS), 2002/04 ID#P02457 (Dr. Lubomir Traikov).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Traikov, L., Antonov, I., Petrova, J. et al. Signal processing and wavelet analysis of simultaneously registered blood pressure and laser Doppler flow signals during extremely low frequency electromagnetic field exposure in humans in vivo. Environmentalist 31, 187–195 (2011). https://doi.org/10.1007/s10669-011-9320-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10669-011-9320-2