Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-12235
For citation please use:
Main Title: Validation of a Low-Cost Electrocardiography (ECG) System for Psychophysiological Research
Author(s): Wagner, Ruth Erna
Plácido da Silva, Hugo
Gramann, Klaus
Type: Article
Language Code: en
Abstract: Background 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.
URI: https://depositonce.tu-berlin.de/handle/11303/13449
http://dx.doi.org/10.14279/depositonce-12235
Issue Date: 30-Jun-2021
Date Available: 26-Jul-2021
DDC Class: 150 Psychologie
Subject(s): BITalino
BrainAmp
ICC
intraclass correlation coefficient
Bland–Altman method
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Sensors
Publisher: MDPI
Publisher Place: Basel
Volume: 21
Issue: 13
Article Number: 4485
Publisher DOI: 10.3390/s21134485
EISSN: 1424-8220
Appears in Collections:FG Biopsychologie und Neuroergonomie » Publications

Files in This Item:
sensors-21-04485-v2.pdf
Format: Adobe PDF | Size: 644.71 kB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons