Validation of a Low-Cost Electrocardiography (ECG) System for Psychophysiological Research

dc.contributor.authorWagner, Ruth Erna
dc.contributor.authorPlácido da Silva, Hugo
dc.contributor.authorGramann, Klaus
dc.date.accessioned2021-07-26T12:10:50Z
dc.date.available2021-07-26T12:10:50Z
dc.date.issued2021-06-30
dc.date.updated2021-07-19T10:58:42Z
dc.description.abstractBackground and Objective: The reliability of low-cost mobile systems for recording Electrocardiographic (ECG) data is mostly unknown, posing questions regarding the quality of the recorded data and the validity of the extracted physiological parameters. The present study compared the BITalino toolkit with an established medical-grade ECG system (BrainAmp-ExG). Methods: Participants underwent simultaneous ECG recordings with the two instruments while watching pleasant and unpleasant pictures of the “International Affective Picture System” (IAPS). Common ECG parameters were extracted and compared between the two systems. The Intraclass Correlation Coefficients (ICCs) and the Bland–Altman Limits of Agreement (LoA) method served as criteria for measurement agreement. Results: All but one parameter showed an excellent agreement (>80%) between both devices in the ICC analysis. No criteria for Bland–Altman LoA and bias were found in the literature regarding ECG parameters. Conclusion: The results of the ICC and Bland–Altman methods demonstrate that the BITalino system can be considered as an equivalent recording device for stationary ECG recordings in psychophysiological experiments.en
dc.identifier.eissn1424-8220
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/13449
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-12235
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc150 Psychologiede
dc.subject.otherBITalinoen
dc.subject.otherBrainAmpen
dc.subject.otherICCen
dc.subject.otherintraclass correlation coefficienten
dc.subject.otherBland–Altman methoden
dc.titleValidation of a Low-Cost Electrocardiography (ECG) System for Psychophysiological Researchen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber4485en
dcterms.bibliographicCitation.doi10.3390/s21134485en
dcterms.bibliographicCitation.issue13en
dcterms.bibliographicCitation.journaltitleSensorsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume21en
tub.accessrights.dnbfreeen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaft::FG Biopsychologie und Neuroergonomiede
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Biopsychologie und Neuroergonomiede
tub.affiliation.instituteInst. Psychologie und Arbeitswissenschaftde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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