Possibility for Recognition of Psychic Brain Activity with Continuous Wavelet Analysis of EEG

Yumatov, E. A.; Hramov, Alexandr E.; Grubov, Vadim V.; Глазачев, О. С.; Дудник, Е. Н.; Каратыгин, Н. А.

doi:10.4236/jbbs.2019.93006

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…The fact of a truthful or false mental response is entered in the protocol. Then all the files with EEG recordings during the mental response will be analyzed by the wavelet transform and machine learning [16][17][18][19][20][21].…”

Section: Description Of the Experimental Modelmentioning

confidence: 99%

See 1 more Smart Citation

Experimental approach to the recognition of truthful and false mental responses based on the wavelet transform of the electroencephalogram

Ea¹,

VYu²,

Na³

et al. 2019

Trends Med

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An existing polygraph technique to evaluate the faithfulness of the verbal response is based on recoding of psychophysiological and somatic-and-autonomic indices, which do not reflect the actual deceitful or truthful state of the subject's brain.The advanced method of electroencephalogram wavelet transform was developed in recent years. This approach allowed us to determine a principle possibility for the direct, objective recording of mental activity in the human brain.The overall goal of the research is to develop a fundamentally new information technology to identify a truthful and deceitful state in the brain mental activity, which suggests the wavelet transform of the electroencephalogram and machine learning.For this purpose, an experimental model and software have been created and described in the article for recognizing the truthful and false mental responses of a person based on the electroencephalogram analysis.The software was developed with Microsoft Visual Studio 2017 and Net Framework 4.5. This software is simple in use and works with the Russian language interface.The developed experimental model and information-software allow us to compare electroencephalographic indicators of two mental states of brain activity, one of which is deceitful, and the other is truthful.

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Section: Description Of the Experimental Modelmentioning

confidence: 99%

“…In the beginning of each testing, the image and question appear on the monitor screen of a test person. The time of demonstration can human brain [20][21]. These data hold much promise to develop a new information technology for the recognition of truthful and false states of the human brain.…”

Section: Introductionmentioning

confidence: 99%

Experimental approach to the recognition of truthful and false mental responses based on the wavelet transform of the electroencephalogram

Ea¹,

VYu²,

Na³

et al. 2019

Trends Med

View full text Add to dashboard Cite

show abstract

“…In recent years, progressive wavelet transforms based electroencephalogram (EEG) methods have been developed [1][2][3][4]. Using the wavelet transform based EEG method, we established the fundamental possibility of direct objective recording of the mental activity of the human brain [5,6], which opened the prospect of developing a new information technology for studying the mechanisms of extracting information from the human brain memory.…”

Section: Introductionmentioning

confidence: 99%

“…Using the mathematical wavelet transform based electroencephalogram (EEG) method, we established the fundamental possibility of objective recording of the mental activity of the human brain, which opened the prospect of revealing the mechanisms for extracting information from memory.The overall goal of this study is to develop a fundamentally new information technology to identify mechanisms of memory reproduction in the mental activity of the brain by means of the wavelet transform based electroencephalogram (EEG). To solve this problem, an experimental model and software that allow testing the extraction of information from memory in humans have been developed [1][2][3][4][5][6].…”

mentioning

confidence: 99%

“…The overall goal of this study is to develop a fundamentally new information technology to identify mechanisms of memory reproduction in the mental activity of the brain by means of the wavelet transform based electroencephalogram (EEG). To solve this problem, an experimental model and software that allow testing the extraction of information from memory in humans have been developed [1][2][3][4][5][6].…”

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confidence: 99%

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Methodology, experimental model and software for identifying memory replication processes based on wavelet analysis of electroencephalograms

Ea¹,

VYu²,

En³

et al. 2020

Trends Med

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The brain has a memory, i.e. a unique ability to memorize and reproduce information. Memory mechanisms consist of perception, memorization, storage and subsequent reproduction of information.Based on numerous studies, only the neurophysiological mechanisms of perception, memorization and storage of information in the brain are disclosed, which include neurochemical and molecular processes. At the same time, the key mechanisms for extracting information from memory are still completely unknown. The problem is that the extraction of information from memory occurs in the subjective, mental sphere of brain activity, which was not available for study by existing neurophysiological methods.In recent years, progressive wavelet transforms based electroencephalogram (EEG) methods have been developed. Using the mathematical wavelet transform based electroencephalogram (EEG) method, we established the fundamental possibility of objective recording of the mental activity of the human brain, which opened the prospect of revealing the mechanisms for extracting information from memory.The overall goal of this study is to develop a fundamentally new information technology to identify mechanisms of memory reproduction in the mental activity of the brain by means of the wavelet transform based electroencephalogram (EEG). To solve this problem, an experimental model and software that allow testing the extraction of information from memory in humans have been developed [1][2][3][4][5][6].

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Creation of an Alert Device for Early Detection of Epilepsy Using an EEG Signal Power Threshold

Cáceres-Benítez,

Marcillo,

Enríquez-Ortega

et al. 2023

Communications in Computer and Information Science

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Possibility for Recognition of Psychic Brain Activity with Continuous Wavelet Analysis of EEG

Cited by 8 publications

References 17 publications

Experimental approach to the recognition of truthful and false mental responses based on the wavelet transform of the electroencephalogram

Experimental approach to the recognition of truthful and false mental responses based on the wavelet transform of the electroencephalogram

Methodology, experimental model and software for identifying memory replication processes based on wavelet analysis of electroencephalograms

Creation of an Alert Device for Early Detection of Epilepsy Using an EEG Signal Power Threshold

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