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Authors: Anton Yu. Dolganov ; Mikhail V. Babich ; Timur S. Petrenko and Vladimir S. Kublanov

Affiliation: Ural Federal University, Yekaterinburg, Russian Federation

Keyword(s): Microwave Radiation, Radio Brightness Temperature, Machine Learning, Cognitive Load.

Abstract: The article described a technique for conducting experimental studies using passive non-invasive thermography in radio bands to study the effect of changes in the psychophysiological state on a person's radio-brightness temperature. The registration of the radio-brightness temperature signals was carried by contact microwave radiometer, which ensures the reception of brain microwave radiation in the frequency range (3.4-4.2) GHz. A data processing algorithm for detecting stable characteristics of patterns in changes in brightness temperature fluctuations, based on continuous wavelet transform, was proposed. A total of 18 parameters were used to estimate the brightness temperature fluctuations. In this study, two machine learning methods were tested that allow the selection of the most significant features: logistic regression using L1-regularization and the decision tree method. The accuracy of determining the functional state on the training data reached 90%. It was shown that the p arameter of microwave radiation fluctuations – the median value of the amplitude of fluctuations with fluctuation periods from 40 to 80 s, makes it possible to divide the initial data sample into two subgroups in which the response to cognitive load is significantly different. (More)

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Paper citation in several formats:
Dolganov, A.; Babich, M.; Petrenko, T. and Kublanov, V. (2021). Development of a Method for Identifying the Functional State of a Person When Solving Cognitive Tasks According to the Data of the Brain Microwave Radiation. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - NDNSNT; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 233-238. DOI: 10.5220/0010380502330238

@conference{ndnsnt21,
author={Anton Yu. Dolganov. and Mikhail V. Babich. and Timur S. Petrenko. and Vladimir S. Kublanov.},
title={Development of a Method for Identifying the Functional State of a Person When Solving Cognitive Tasks According to the Data of the Brain Microwave Radiation},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - NDNSNT},
year={2021},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010380502330238},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - NDNSNT
TI - Development of a Method for Identifying the Functional State of a Person When Solving Cognitive Tasks According to the Data of the Brain Microwave Radiation
SN - 978-989-758-490-9
IS - 2184-4305
AU - Dolganov, A.
AU - Babich, M.
AU - Petrenko, T.
AU - Kublanov, V.
PY - 2021
SP - 233
EP - 238
DO - 10.5220/0010380502330238
PB - SciTePress

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