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Statements

Subject Item
n2:RIV%2F68407700%3A21460%2F10%3A00166148%21RIV11-MSM-21460___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
This work concerns with the measuring, analysis and interpretation of the data, obtained from real-life experiments carried-out on the Faculty of natural science, Charles University in Prague, department of parasitology. The data sets contain electrophysiological signals (such a ECG, galvanic skin response etc.) and further factors, which are the results of certain psychylogical tests (dedicated for example for the domination vs. submisivity detection). The number of these pair-experiments was 240 ? they contain resting state followed by the psychical stress period. From the preprocessed data the tachogram was computed and the set of HRV parameters was extracted. Then the HRV parameters were analyzed in correlation with the psychological parameters. Psychological factors of each person were used as filter parameters and their influence to the separation of the rest and stress phase was observed. Using the results of this analysis the basic principle of the classification algorithm was This work concerns with the measuring, analysis and interpretation of the data, obtained from real-life experiments carried-out on the Faculty of natural science, Charles University in Prague, department of parasitology. The data sets contain electrophysiological signals (such a ECG, galvanic skin response etc.) and further factors, which are the results of certain psychylogical tests (dedicated for example for the domination vs. submisivity detection). The number of these pair-experiments was 240 ? they contain resting state followed by the psychical stress period. From the preprocessed data the tachogram was computed and the set of HRV parameters was extracted. Then the HRV parameters were analyzed in correlation with the psychological parameters. Psychological factors of each person were used as filter parameters and their influence to the separation of the rest and stress phase was observed. Using the results of this analysis the basic principle of the classification algorithm was
dcterms:title
Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load
skos:prefLabel
Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load
skos:notation
RIV/68407700:21460/10:00166148!RIV11-MSM-21460___
n3:aktivita
n6:S
n3:aktivity
S
n3:dodaniDat
n11:2011
n3:domaciTvurceVysledku
n17:3783561
n3:druhVysledku
n18:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
286775
n3:idVysledku
RIV/68407700:21460/10:00166148
n3:jazykVysledku
n20:eng
n3:klicovaSlova
HRV analysis; stress; psycho-physiological correlates; psycho-physiological filters; submisivity; dominance
n3:klicoveSlovo
n4:stress n4:dominance n4:psycho-physiological%20correlates n4:psycho-physiological%20filters n4:submisivity n4:HRV%20analysis
n3:kontrolniKodProRIV
[FAC36BEFBE09]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Workshop 2010
n3:obor
n14:AQ
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n11:2010
n3:tvurceVysledku
Kliment, Radim
n3:typAkce
n8:EUR
n3:zahajeniAkce
2010-02-22+01:00
s:numberOfPages
2
n12:hasPublisher
České vysoké učení technické v Praze
n13:isbn
978-80-01-04513-8
n16:organizacniJednotka
21460