[1] Youngsun Kong, Hugo F. Posada-Quintero, Hanh Tran, Ankur Talati, Thomas J. Acquista, I-Ping Chen, Ki H. Chon,
Differentiating between stress- and EPT-induced electrodermal activity during dental examination,
Computers in Biology and Medicine.  download

[1]          X. Pan et al., “Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance,” Artif. Intell. Med., vol. 140, p. 102548, Jun. 2023, doi: 10.1016/j.artmed.2023.102548.https://biosignal.media.uconn.edu/wp-content/uploads/sites/2503/2023/06/DEEP-Cross-1.pdfhttps://biosignal.media.uconn.edu/wp-content/uploads/sites/2503/2023/06/DEEP-Cross-1.pdf download

[2]          K. Mahoney, K. Chon, R. Ghaffari, M. Minnis, R. Huggins, and E. Lee, “Epicore Discovery Patch® sweat collection system to assess sweat proteomics-based biomarker discovery in exercise-heat stress and acclimation,” Physiology, vol. 38, no. S1, p. 5733002, May 2023, doi: 10.1152/physiol.2023.38.S1.5733002.

[3]          J. Moon, H. F. Posada-Quintero, and K. H. Chon, “Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction,” Neural Netw., May 2023, doi: 10.1016/j.neunet.2023.05.015. download

[4]          T. J. Paul et al., “Anxiety, patient activation, and quality of life among stroke survivors prescribed smartwatches for atrial fibrillation monitoring,” Cardiovasc. Digit. Health J., May 2023, doi: 10.1016/j.cvdhj.2023.04.002. download

[5]          Y. Kong et al., “Differentiating between stress- and EPT-induced electrodermal activity during dental examination,” Comput. Biol. Med., vol. 155, p. 106695, Mar. 2023, doi: 10.1016/j.compbiomed.2023.106695. download

[6]          H. T. Tran, Y. Kong, A. Talati, H. Posada-Quintero, K. H. Chon, and I.-P. Chen, “The use of electrodermal activity in pulpal diagnosis and dental pain assessment,” Int. Endod. J., vol. 56, no. 3, pp. 356–368, 2023, doi: 10.1111/iej.13868. download

[7]          J. Moon, H. F. Posada-Quintero, and K. H. Chon, “A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information,” Expert Syst. Appl., vol. 213, p. 118930, Mar. 2023, doi: 10.1016/j.eswa.2022.118930.

[8]          D. Han et al., “A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study,” JMIR Cardio, vol. 7, no. 1, p. e41691, Feb. 2023, doi: 10.2196/41691.download

[9]          K. Golzari, Y. Kong, S. A. Reed, and H. F. Posada-Quintero, “Sympathetic Arousal Detection in Horses Using Electrodermal Activity,” Animals, vol. 13, no. 2, Art. no. 2, Jan. 2023, doi: 10.3390/ani13020229.download

[10]        A. Zhdanov, P. Constable, S. M. Manjur, A. Dolganov, H. F. Posada-Quintero, and A. Lizunov, “OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms,” Bioengineering, vol. 10, no. 6, Art. no. 6, Jun. 2023, doi: 10.3390/bioengineering10060708.download


[1]          K. H. Chon and H. Posada-Quintero, “Methods, systems, and apparatuses for the detection of oxygen toxicity related symptoms,” US20230023197A1, Jan. 26, 2023 Accessed: Jun. 22, 2023. [Online]. Available: https://patents.google.com/patent/US20230023197A1/en

[2]          K. H. Chon and S. Hajeb, “Automated condition-based suppression of cpr artifacts in ecg data,” US20230138815A1, May 04, 2023 Accessed: Jun. 22, 2023. [Online]. Available: https://patents.google.com/patent/US20230138815A1/en