TY - GEN
T1 - Artifacts Removal in Electrodermal Signals
AU - Rios-Prado, Rosario
AU - Tovar-Corona, Blanca
AU - Garay-Jimenez, Laura I.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The removal of noise in signal processing allows optimizing and improving the operation and performance of various computational algorithms. Therefore, this document proposes a procedure for removing artifacts in electrodermal signals to highlight the changes in the signal due to external stimuli. In addition, a proposal is presented for the separation between the phasic and tonic responses. Test using signals with and without artifacts is done, showing significant differences in the output signals. Although the performance of the response separation algorithm alone presents favorable results, the identification of the phasic response stimuli is enhanced by the removal of artifacts. The artifact removal technique obtained a detection and elimination of 89.85% of the total counted artifacts.
AB - The removal of noise in signal processing allows optimizing and improving the operation and performance of various computational algorithms. Therefore, this document proposes a procedure for removing artifacts in electrodermal signals to highlight the changes in the signal due to external stimuli. In addition, a proposal is presented for the separation between the phasic and tonic responses. Test using signals with and without artifacts is done, showing significant differences in the output signals. Although the performance of the response separation algorithm alone presents favorable results, the identification of the phasic response stimuli is enhanced by the removal of artifacts. The artifact removal technique obtained a detection and elimination of 89.85% of the total counted artifacts.
KW - Empatica E4
KW - Empirical Mode Decomposition
KW - artifacts removing
KW - signal processing
UR - http://www.scopus.com/inward/record.url?scp=85123870154&partnerID=8YFLogxK
U2 - 10.1109/CCE53527.2021.9633102
DO - 10.1109/CCE53527.2021.9633102
M3 - Contribución a la conferencia
AN - SCOPUS:85123870154
T3 - CCE 2021 - 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control
BT - CCE 2021 - 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2021
Y2 - 10 November 2021 through 12 November 2021
ER -