Automatic motion artifact detection in electrodermal activity data using machine learning MB Hossain, HF Posada-Quintero, Y Kong, R McNaboe, KH Chon Biomedical Signal Processing and Control 74, 103483, 2022 | 20 | 2022 |
A preliminary study on automatic motion artifact detection in electrodermal activity data using machine learning MB Hossain, HF Posada-Quintero, Y Kong, R McNaboe, KH Chon 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks YR Veeranki, R McNaboe, HF Posada-Quintero Signals 4 (4), 816-835, 2023 | 6 | 2023 |
Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity R McNaboe, L Beardslee, Y Kong, BN Smith, IP Chen, ... Sensors 22 (22), 8851, 2022 | 3 | 2022 |
Validation of spectral indices of electrodermal activity with a wearable device RQ McNaboe, MB Hossain, Y Kong, KH Chon, HF Posada-Quintero 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
A Preliminary Study on Automatic Motion Artifacts Detection in Electrodermal Activity Data Using Machine Learning M Billal Hossain, HF Posada-Quintero, Y Kong, R McNaboe, K Chon arXiv e-prints, arXiv: 2107.07650, 2021 | | 2021 |