activity
20212025
most citedA Preliminary Study on Automatic Motion Artifacts Detection in Electrodermal Activity Data Using Machine Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Autoencoder-Based Denoising of Muscle Artifacts in ECG to Preserve Skin Nerve Activity (SKNA) for Cognitive Stress Detection

Farnoush Baghestani, Jihye Moon, Youngsun Kong +1

The sympathetic nervous system (SNS) plays a central role in regulating the body's responses to stress and maintaining physiological stability. Its dysregulation is associated with…

eess.SP2025

Feasibility of Extracting Skin Nerve Activity from Electrocardiogram Recorded at A Low Sampling Frequency

Youngsun Kong, Farnoush Baghestani, I-Ping Chen +1

Skin nerve activity (SKNA) derived from electrocardiogram (ECG) signals has been a promising non-invasive surrogate for accurate and effective assessment of the sympathetic nervous…

eess.SP2024

A Novel Approach to Characterize Dynamics of ECG-Derived Skin Nerve Activity via Time-Varying Spectral Analysis

Youngsun Kong, Farnoush Baghestani, William D'Angelo +2

Assessment of the sympathetic nervous system (SNS) is one of the major approaches for studying affective states. Skin nerve activity (SKNA) derived from high-frequency components o…

q-bio.NC2024

Skin Sympathetic Nerve Activity Driver Extraction through Non-Negative Sparse Decomposition

Farnoush Baghestani, Youngsun Kong, Ki H. Chon

In recent years, skin sympathetic nerve activity (SKNA) extracted from electrocardiogram has gained attention as a novel noninvasive measure of the sympathetic nervous system (SNS)…

eess.SP20211 cited

A Preliminary Study on Automatic Motion Artifacts Detection in Electrodermal Activity Data Using Machine Learning

Md Billal Hossain, Hugo Fernando Posada-Quintero, Youngsun Kong +2

The electrodermal activity (EDA) signal is a sensitive and non-invasive surrogate measure of sympathetic function. Use of EDA has increased in popularity in recent years for such a…