2023:

Date Title Citation
Jan 2023 Sympathetic Arousal Detection in Horses Using Electrodermal Activity Golzari, K.; Kong, Y.; Reed, S.A.; Posada-Quintero, H.F. Sympathetic Arousal Detection in Horses Using Electrodermal Activity. Animals 202313, 229. https://doi.org/10.3390/ani13020229
Mar 2023 Differentiating between stress-and EPT-induced electrodermal activity during dental examination Kong, Y.; Posada-Quintero, H.F.; Tran, H.; Talati, A.; Acquista, T.J.; Chen, I.P.; Chon, K.H. Differentiating between stress-and EPT-induced electrodermal activity during dental examination. Comput. Biol. Med. 2023, 155, 106695.
Aug 2023 Mutual Information between EDA and EEG in Multiple Cognitive Tasks and Sleep Deprivation Conditions Martínez Vásquez, D.A.; Posada-Quintero, H.F.; Rivera Pinzón, D.M. Mutual Information between EDA and EEG in Multiple Cognitive Tasks and Sleep Deprivation Conditions. Behav. Sci. 202313, 707. https://doi.org/10.3390/bs13090707
Sep 2023 Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity J. O. Pinzon-Arenas, Y. Kong, K. H. Chon and H. F. Posada-Quintero, "Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity," in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 9, pp. 4250-4260, Sept. 2023, doi: 10.1109/JBHI.2023.3291955.
Nov 2023 Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram Posada-Quintero HF, Manjur SM, Hossain MB, Marmolejo-Ramos F, et al. Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram. Res Autism Spectr Disord. 2023;109: 102258. https://doi.org/10.1016/j.rasd. 2023.102258.
Nov 2023 EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks Veeranki, Y.R.; McNaboe, R.; Posada-Quintero, H.F. EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks. Signals 20234, 816-835. https://doi.org/10.3390/signals4040045