| Date |
Title |
Citation |
| Jan 2020 |
Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review |
Posada-Quintero, H.F.; Chon, K.H. Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review. Sensors 2020, 20, 479. https://doi.org/10.3390/s20020479 |
| Feb 2020 |
Analysis of Risk Factors and Symptoms of Burnout Syndrome in Colombian School Teachers under Statutes 2277 and 1278 Using Machine Learning Interpretation |
Posada-Quintero, H.F.; Molano-Vergara, P.N.; Parra-Hernández, R.M.; Posada-Quintero, J.I. Analysis of Risk Factors and Symptoms of Burnout Syndrome in Colombian School Teachers under Statutes 2277 and 1278 Using Machine Learning Interpretation. Soc. Sci. 2020, 9, 30. https://doi.org/10.3390/socsci9030030 |
| Sep 2020 |
Using electrodermal activity to validate multilevel pain stimulation in healthy volunteers evoked by thermal grills |
H. F. Posada-Quintero et al., “Using electrodermal activity to validate multilevel pain stimulation in healthy volunteers evoked by thermal grills,” American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, vol. 319, no. 3, Sep. 2020. doi:10.1152/ajpregu.00102.2020 |
| Sep 2020 |
Brain activity correlates with cognitive performance deterioration during sleep deprivation |
H. F. Posada-Quintero, N. Reljin, J. B. Bolkhovsky, A. D. Orjuela-Cañón, and K. H. Chon, “Brain activity correlates with cognitive performance deterioration during sleep deprivation,” Frontiers |
| Dec 2020 |
Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress |
Posada-Quintero, H.F.; Reljin, N.; Moutran, A.; Georgopalis, D.; Lee, E.C.-H.; Giersch, G.E.W.; Casa, D.J.; Chon, K.H. Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress. Nutrients 2020, 12, 42. https://doi.org/10.3390/nu12010042 |