Results of recording electrophysiological signals by nanosensors during tests on volunteers
Purpose The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement. Design/methodology/approach The nanosensor-based hardware and software complex (HSC) was used f...
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creator | Аvdeeva, Diana K Guo, Wenjia Nguyen, Dang Quang Yuzhakov, Mikhail M Ivanov, Ivan L Turushev, Nikita V Maksimov, Ivan V Balakhonova, Maria V |
description | Purpose
The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement.
Design/methodology/approach
The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz.
Findings
For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement.
Practical implications
The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies.
Originality/value
For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording. |
doi_str_mv | 10.1108/SR-12-2019-0323 |
format | Article |
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The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement.
Design/methodology/approach
The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz.
Findings
For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement.
Practical implications
The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies.
Originality/value
For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording.</description><identifier>ISSN: 0260-2288</identifier><identifier>EISSN: 1758-6828</identifier><identifier>DOI: 10.1108/SR-12-2019-0323</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Amplitudes ; Cardiology ; Channels ; Chlorine ; Electrocardiography ; Electrodes ; Electroencephalography ; Emotions ; Filtration ; Frequency ranges ; Galvanic skin response ; Heart rate ; High impulse ; Nanosensors ; Noise sensitivity ; P waves ; Questions ; Real time ; Recording ; Silver ; Software ; Stress ; Studies ; Volunteers</subject><ispartof>Sensor review, 2020-07, Vol.40 (3), p.335-346</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c299t-314da55114f837dbdda4cf0e7646351124fcb8a57fd21721a6ffec2b8f2047ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/SR-12-2019-0323/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,778,782,964,11618,27907,27908,52672</link.rule.ids></links><search><creatorcontrib>Аvdeeva, Diana K</creatorcontrib><creatorcontrib>Guo, Wenjia</creatorcontrib><creatorcontrib>Nguyen, Dang Quang</creatorcontrib><creatorcontrib>Yuzhakov, Mikhail M</creatorcontrib><creatorcontrib>Ivanov, Ivan L</creatorcontrib><creatorcontrib>Turushev, Nikita V</creatorcontrib><creatorcontrib>Maksimov, Ivan V</creatorcontrib><creatorcontrib>Balakhonova, Maria V</creatorcontrib><title>Results of recording electrophysiological signals by nanosensors during tests on volunteers</title><title>Sensor review</title><description>Purpose
The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement.
Design/methodology/approach
The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz.
Findings
For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement.
Practical implications
The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies.
Originality/value
For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording.</description><subject>Amplitudes</subject><subject>Cardiology</subject><subject>Channels</subject><subject>Chlorine</subject><subject>Electrocardiography</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Emotions</subject><subject>Filtration</subject><subject>Frequency ranges</subject><subject>Galvanic skin response</subject><subject>Heart rate</subject><subject>High impulse</subject><subject>Nanosensors</subject><subject>Noise sensitivity</subject><subject>P waves</subject><subject>Questions</subject><subject>Real time</subject><subject>Recording</subject><subject>Silver</subject><subject>Software</subject><subject>Stress</subject><subject>Studies</subject><subject>Volunteers</subject><issn>0260-2288</issn><issn>1758-6828</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkM1LwzAYxoMoOKdnrwHP2ZI3aZseZfgFA6HTk4eQ5mN2dM1MWmH_vS3zInh64eX5PTz8ELpldMEYlctNRRgQoKwklAM_QzNWZJLkEuQ5mlHIKQGQ8hJdpbSjlIHI-Qx9VC4NbZ9w8Dg6E6Jtui12rTN9DIfPY2pCG7aN0S1OzbbTbcL1EXe6C8l1KcSE7RAnpHdpaunwd2iHrncupmt04UfA3fzeOXp_fHhbPZP169PL6n5NDJRlTzgTVmcZY8JLXtjaWi2Mp67Ix4XjG4Q3tdRZ4S2wApjOvXcGaumBikLXfI7uTr2HGL6GcYfahSFOWxUIEBIyWsoxtTylTAwpRefVITZ7HY-KUTUZVJtKMVCTQTUZHInFiXB7F3Vr_wH-KOc_R1dzcw</recordid><startdate>20200721</startdate><enddate>20200721</enddate><creator>Аvdeeva, Diana K</creator><creator>Guo, Wenjia</creator><creator>Nguyen, Dang Quang</creator><creator>Yuzhakov, Mikhail M</creator><creator>Ivanov, Ivan L</creator><creator>Turushev, Nikita V</creator><creator>Maksimov, Ivan V</creator><creator>Balakhonova, Maria V</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SP</scope><scope>7TB</scope><scope>7U5</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>L7M</scope><scope>M0C</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>20200721</creationdate><title>Results of recording electrophysiological signals by nanosensors during tests on volunteers</title><author>Аvdeeva, Diana K ; Guo, Wenjia ; Nguyen, Dang Quang ; Yuzhakov, Mikhail M ; Ivanov, Ivan L ; Turushev, Nikita V ; Maksimov, Ivan V ; Balakhonova, Maria V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c299t-314da55114f837dbdda4cf0e7646351124fcb8a57fd21721a6ffec2b8f2047ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Amplitudes</topic><topic>Cardiology</topic><topic>Channels</topic><topic>Chlorine</topic><topic>Electrocardiography</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Emotions</topic><topic>Filtration</topic><topic>Frequency ranges</topic><topic>Galvanic skin response</topic><topic>Heart rate</topic><topic>High impulse</topic><topic>Nanosensors</topic><topic>Noise sensitivity</topic><topic>P waves</topic><topic>Questions</topic><topic>Real time</topic><topic>Recording</topic><topic>Silver</topic><topic>Software</topic><topic>Stress</topic><topic>Studies</topic><topic>Volunteers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Аvdeeva, Diana K</creatorcontrib><creatorcontrib>Guo, Wenjia</creatorcontrib><creatorcontrib>Nguyen, Dang Quang</creatorcontrib><creatorcontrib>Yuzhakov, Mikhail M</creatorcontrib><creatorcontrib>Ivanov, Ivan L</creatorcontrib><creatorcontrib>Turushev, Nikita V</creatorcontrib><creatorcontrib>Maksimov, Ivan V</creatorcontrib><creatorcontrib>Balakhonova, Maria V</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ABI/INFORM Global</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>Sensor review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Аvdeeva, Diana K</au><au>Guo, Wenjia</au><au>Nguyen, Dang Quang</au><au>Yuzhakov, Mikhail M</au><au>Ivanov, Ivan L</au><au>Turushev, Nikita V</au><au>Maksimov, Ivan V</au><au>Balakhonova, Maria V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Results of recording electrophysiological signals by nanosensors during tests on volunteers</atitle><jtitle>Sensor review</jtitle><date>2020-07-21</date><risdate>2020</risdate><volume>40</volume><issue>3</issue><spage>335</spage><epage>346</epage><pages>335-346</pages><issn>0260-2288</issn><eissn>1758-6828</eissn><abstract>Purpose
The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement.
Design/methodology/approach
The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz.
Findings
For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement.
Practical implications
The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies.
Originality/value
For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/SR-12-2019-0323</doi><tpages>12</tpages></addata></record> |
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source | Emerald Journals |
subjects | Amplitudes Cardiology Channels Chlorine Electrocardiography Electrodes Electroencephalography Emotions Filtration Frequency ranges Galvanic skin response Heart rate High impulse Nanosensors Noise sensitivity P waves Questions Real time Recording Silver Software Stress Studies Volunteers |
title | Results of recording electrophysiological signals by nanosensors during tests on volunteers |
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