Effects of low frequency electric fields on the sedimentation rate of human blood. Preliminary observations

1985 ◽  
Vol 29 (3) ◽  
pp. 243-252 ◽  
Author(s):  
J. Juutilainen ◽  
T. Lahtinen
Keyword(s):  
Electric Fields ◽  
Human Blood ◽  
Sedimentation Rate ◽  
Low Frequency

Domain dynamics of strontium-barium niobate crystals in low-frequency electric fields

1990 ◽  
Vol 111 (1) ◽  
pp. 299-305 ◽  
Author(s):  
A. I. Bezhanova ◽  
V. I. Silvestrov ◽  
T. A. Zeinalova ◽  
T. R. Volk
Keyword(s):  
Electric Fields ◽  
Low Frequency ◽  
Strontium Barium Niobate ◽  
Strontium Barium ◽  
Domain Dynamics

Pulsed DC electric fields couple to natural NAD(P)H oscillations in HT-1080 fibrosarcoma cells

2001 ◽  
Vol 114 (8) ◽  
pp. 1515-1520 ◽  
Author(s):  
A.J. Rosenspire ◽  
A.L. Kindzelskii ◽  
H.R. Petty
Keyword(s):  
Electric Field ◽  
Electric Fields ◽  
Cell Function ◽  
Low Frequency ◽  
Reactive Oxygen Metabolites ◽  
Pulsed Dc ◽  
Fibrosarcoma Cells ◽  
Chemotactic Factors ◽  
Oxygen Metabolites ◽  
Dc Electric Fields

Previously, we have demonstrated that NAD(P)H levels in neutrophils and macrophages are oscillatory. We have also found that weak ultra low frequency AC or pulsed DC electric fields can resonate with, and increase the amplitude of, NAD(P)H oscillations in these cells. For these cells, increased NAD(P)H amplitudes directly signal changes in behavior in the absence of cytokines or chemotactic factors. Here, we have studied the effect of pulsed DC electric fields on HT-1080 fibrosarcoma cells. As in neutrophils and macrophages, NAD(P)H levels oscillate. We find that weak (~10(-)(5) V/m), but properly phased DC (pulsed) electric fields, resonate with NAD(P)H oscillations in polarized and migratory, but not spherical, HT-1080 cells. In this instance, electric field resonance signals an increase in HT-1080 pericellular proteolytic activity. Electric field resonance also triggers an immediate increase in the production of reactive oxygen metabolites. Under resonance conditions, we find evidence of DNA damage in HT-1080 cells in as little as 5 minutes. Thus the ability of external electric fields to effect cell function and physiology by acting on NAD(P)H oscillations is not restricted to cells of the hematopoietic lineage, but may be a universal property of many, if not all polarized and migratory eukaryotic cells.

scholarly journals Computation of currents induced by ELF electric fields in anisotropic human tissues using the Finite Integration Technique (FIT)

2005 ◽  
Vol 3 ◽  
pp. 227-231 ◽  
Author(s):  
V. C. Motrescu ◽  
U. van Rienen
Keyword(s):  
Dielectric Properties ◽  
Electromagnetic Fields ◽  
Electric Fields ◽  
Human Body ◽  
Low Frequency ◽  
Integration Technique ◽  
Human Body Model ◽  
Body Model ◽  
Finite Integration Technique ◽  
Muscle Tissues

Abstract. In the recent years, the task of estimating the currents induced within the human body by environmental electromagnetic fields has received increased attention from scientists around the world. While important progress was made in this direction, the unpredictable behaviour of living biological tissue made it difficult to quantify its reaction to electromagnetic fields and has kept the problem open. A successful alternative to the very difficult one of performing measurements is that of computing the fields within a human body model using numerical methods implemented in a software code. One of the difficulties is represented by the fact that some tissue types exhibit an anisotropic character with respect to their dielectric properties. Our work consists of computing currents induced by extremely low frequency (ELF) electric fields in anisotropic muscle tissues using in this respect, a human body model extended with muscle fibre orientations as well as an extended version of the Finite Integration Technique (FIT) able to compute fully anisotropic dielectric properties.

Analysis of human brain exposure to low-frequency magnetic fields: A numerical assessment of spatially averaged electric fields and exposure limits

2013 ◽  
Vol 34 (5) ◽  
pp. 375-384 ◽  
Author(s):  
Xi-Lin Chen ◽  
Stefan Benkler ◽  
Nicholas Chavannes ◽  
Valerio De Santis ◽  
Jurriaan Bakker ◽  
...  
Keyword(s):  
Magnetic Fields ◽  
Human Brain ◽  
Electric Fields ◽  
Low Frequency ◽  
Exposure Limits ◽  
Numerical Assessment ◽  
Brain Exposure
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