A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning. - Md Billal Hossain; Hugo F. Posada-Quintero; Youngsun Kong; Riley Q. McNaboe; Ki H. Chon (EMBC, 2021)

Validation of Spectral Indices of Electrodermal Activity with a Wearable Device. - Riley Q. McNaboe; Md Billal Hossain; Youngsun Kong; Ki H. Chon; Hugo F. Posada-Quintero (EMBC, 2021)

Automatic motion artifact detection in electrodermal activity data using machine learning. - Md Billal Hossain; Hugo F. Posada-Quintero; Youngsun Kong; Riley Q. McNaboe; Ki H. Chon (Biomed. Signal Process. Control., 2022)

Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity. - Riley Q. McNaboe; Luke Beardslee; Youngsun Kong; Brittany N. Smith; I-Ping Chen; Hugo F. Posada-Quintero; Ki H. Chon (Sensors, 2022)

Identifying Optimal Electrodermal Activity Locations in the Torso for Wearable Belt Monitors: Preliminary Results. - Riley Q. McNaboe; Hugo F. Posada-Quintero (EMBC, 2024)

Electrodermal Activity on the Torso: Identification of Locations for Wearable Belt Monitors. - Riley Q. McNaboe; Hugo F. Posada-Quintero (MeMeA, 2024)

Optimizing Sensor Locations for Electrodermal Activity Monitoring Using a Wearable Belt System. - Riley Q. McNaboe; Youngsun Kong; Wendy A. Henderson; Xiaomei Cong; Aolan Li; Min-Hee Seo; Ming-Hui Chen; Bin Feng; Hugo F. Posada-Quintero (J. Sens. Actuator Networks, 2025)