Biomagnetism Update

Vvedensky, V. L.; Ozhogin, V.I.

doi:10.4028/www.scientific.net/msf.373-376.105

Cited by 2 publications

(2 citation statements)

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“…only the higher mammals have an α-rhythm [22] and it is established synchronously with puberty, after which it is not fixed in the frontal lobes [15];…”

Section: Eyementioning

confidence: 99%

Modeling of Brain Physics <strong> </strong>

Kholmanskiy¹

2019

Preprint

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The physics of the human brain has two componentsbasic physics common to all mammals and the physics of thinking inherent only in man. The development of the mental component of the structural and functional organization of the brain in phylogeny was associated with the chiral factor of the external environment, and in ontogenesis -with the social factor. The sensitivity of the brain to these factors was based on the single-connected nature of its aqueous basis, the mechanism of electromagnetic induction, and the features of the thermodynamics of the brain in a state of night sleep. In order to unify the description of the mechanism of electromagnetic processes in the brain, the concept of a quasiphoton has been introduced, combining all forms of excitation of electronic and molecular-cellular structures of the brain. Equivalent schemes of vibrational contours of neural network elements and macrostructures of the brain are proposed.Estimates of the kinetic parameters (activation energy, velocity) of the physical processes underlying the energy-information exchange of the brain with the external environment are made.Mechanisms of operative (physical) and permanent (chemical) memory of the brain, including a model of nonlocal quantum correlations, are discussed.

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“…only the higher mammals have an α-rhythm [22] and it is established synchronously with puberty, after which it is not fixed in the frontal lobes [15];…”

Section: Eyementioning

confidence: 99%

Modeling of Brain Physics <strong> </strong>

Kholmanskiy¹

2019

Preprint

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“…Over the last few decades it has been possible to measure human biomagnetic fields and to obtain from them useful information not found in electrical signals (Vvedensky and Ozhogin 2001). The first adult magnetocardiogram (MCG) recording was made in 1963 (Baule and Mcfee 1963) and the first fetal MCG recording was made in 1974 (Kariniemi et al 1974).…”

Section: Introductionmentioning

confidence: 99%

Fetal source extraction from magnetocardiographic recordings by dependent component analysis

et al. 2005

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Fetal magnetocardiography (fMCG) has been extensively reported in the literature as a non-invasive, prenatal technique that can be used to monitor various functions of the fetal heart. However, fMCG signals often have low signal-to-noise ratio (SNR) and are contaminated by strong interference from the mother's magnetocardiogram signal. A promising, efficient tool for extracting signals, even under low SNR conditions, is blind source separation (BSS), or independent component analysis (ICA). Herein we propose an algorithm based on a variation of ICA, where the signal of interest is extracted using a time delay obtained from an autocorrelation analysis. We model the system using autoregression, and identify the signal component of interest from the poles of the autocorrelation function. We show that the method is effective in removing the maternal signal, and is computationally efficient. We also compare our results to more established ICA methods, such as FastICA.

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Biomagnetism Update

Cited by 2 publications

References 0 publications

Modeling of Brain Physics <strong> </strong>

Modeling of Brain Physics <strong> </strong>

Fetal source extraction from magnetocardiographic recordings by dependent component analysis

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