Using wavelet analysis to detect the influence of low frequency magnetic fields on human physiological tremor

The influence of extremely low frequency magnetic fields (ELF-MFs) on human physiological processes and, in particular, on motor activity is still not established with certainty. Using the wavelet-transform approach, changes in the characteristics of human finger micromovement are studied in the pre...

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Bibliographic Details
Published inPhysiological measurement Vol. 28; no. 3; pp. 321 - 333
Main Authors Pavlov, A N, Tupitsyn, A N, Legros, A, Beuter, A, Mosekilde, E
Format Journal Article
LanguageEnglish
Published England IOP Publishing 01.03.2007
Subjects
Adult
Biochemistry, Molecular Biology
Biophysics
Electromagnetic Fields
Fingers - radiation effects
Humans
Life Sciences
Male
Middle Aged
Models, Biological
Motor Activity - radiation effects
Neurons and Cognition
Toxicology
Tremor - physiopathology
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Summary:The influence of extremely low frequency magnetic fields (ELF-MFs) on human physiological processes and, in particular, on motor activity is still not established with certainty. Using the wavelet-transform approach, changes in the characteristics of human finger micromovement are studied in the presence of a low intensity MF centred at the level of the head. Different approaches to nonstationary signal analysis involving real as well as complex wavelet functions are considered. We find evidence that ELF-MFs lead to more regular postural tremor and more homogeneous energy distribution.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0967-3334
1361-6579
DOI:10.1088/0967-3334/28/3/007