Patents:
K. H. Chon, D. Han, S. K. Bashar, and F. Mohagheghian, “Heart Condition Treatment and Analysis,” US20220022765A1, Jan. 27, 2022 Accessed: Mar. 10, 2022. [Online]. Available: https://patents.google.com/patent/US20220022765A1/en
Journal Articles:
[1] M.-B. Hossain, H. F. Posada-Quintero, Y. Kong, R. McNaboe, and K. H. Chon, “Automatic motion artifact detection in electrodermal activity data using machine learning,” Biomedical Signal Processing and Control, vol. 74, p. 103483, Apr. 2022, doi: 10.1016/j.bspc.2022.103483. Download
[2] A. Hernando, H. Posada-Quintero, M. D. Peláez-Coca, E. Gil, and K. H. Chon, “Autonomic Nervous System characterization in hyperbaric environments considering respiratory component and non-linear analysis of Heart Rate Variability,” Computer Methods and Programs in Biomedicine, vol. 214, p. 106527, Feb. 2022, doi: 10.1016/j.cmpb.2021.106527. Download
[3] K. Newlin Lew et al., “Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies,” J Diabetes Sci Technol, p. 19322968211035376, Jan. 2022, doi: 10.1177/19322968211035375. Download
[4] Y. Kong, H. F. Posada-Quintero, D. Gever, L. Bonacci, K. H. Chon, and J. Bolkhovsky, “Multi-Attribute Task Battery configuration to effectively assess pilot performance deterioration during prolonged wakefulness,” Informatics in Medicine Unlocked, vol. 28, p. 100822, Jan. 2022, doi: 10.1016/j.imu.2021.100822. Download
[5] H. F. Posada-Quintero, C. S. Landon, N. M. Stavitzski, J. B. Dean, and K. H. Chon, “Seizures Caused by Exposure to Hyperbaric Oxygen in Rats Can Be Predicted by Early Changes in Electrodermal Activity,” Frontiers in Physiology, vol. 12, 2022, Accessed: Jan. 13, 2022. [Online]. Available: https://www.frontiersin.org/article/10.3389/fphys.2021.767386 Download
[6] D. Han et al., “A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia,” Biosensors, vol. 12, no. 2, Art. no. 2, Feb. 2022, doi: 10.3390/bios12020082. Download
[7] J. Holtkötter et al., “Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System,” Sensors, vol. 22, no. 8, Art. no. 8, Jan. 2022, doi: 10.3390/s22082958. Download
[8] J. M. Rucci, N. A. Bosch, E. K. Quinn, K. H. Chon, D. D. McManus, and A. J. Walkey, “External Validation of a Risk Score for Daily Prediction of Atrial Fibrillation among Critically Ill Patients with Sepsis,” Annals ATS, vol. 19, no. 4, pp. 697–701, Apr. 2022, doi: 10.1513/AnnalsATS.202107-787RL. Download
[9] F. Mohagheghian et al., “Optimized Signal Quality Assessment for Photoplethysmogram Signals using Feature Selection,” IEEE Transactions on Biomedical Engineering, pp. 1–1, 2022, doi: 10.1109/TBME.2022.3158582. Download
[10] E. Ding et al., “USABILITY OF A SMARTWATCH FOR ATRIAL FIBRILLATION DETECTION IN OLDER ADULTS AFTER STROKE,” Cardiovascular Digital Health Journal, Apr. 2022, doi: 10.1016/j.cvdhj.2022.03.003. Download
[11] M. S. Daley, K. Diaz, H. F. Posada-Quintero, Y. Kong, K. Chon, and J. B. Bolkhovsky, “Archetypal physiological responses to prolonged wakefulness,” Biomedical Signal Processing and Control, vol. 74, p. 103529, Apr. 2022, doi: 10.1016/j.bspc.2022.103529. Download
[12] M.-B. Hossain, Y. Kong, H. F. Posada-Quintero, and K. H. Chon, “Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices’ Quality and Robustness against Motion Artifact,” Sensors, vol. 22, no. 9, Art. no. 9, Jan. 2022, doi: 10.3390/s22093177. Download