activity
20212026
most citedA Preliminary Study on Automatic Motion Artifacts Detection in Electrodermal Activity Data Using Machine Learning

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

eess.SP2026

PI-AMFM: Permutation-Invariant Learning for Variable-Cardinality AM-FM Mode Decomposition in Biomedical Signal Analysis

Youngsun Kong, Ki H. Chon

Physiological recordings often contain nonstationary oscillatory components whose number and dynamics vary across signals. Amplitude- and frequency-modulated (AM-FM) representation…

cs.LG2026

A Multimodal Autonomic Sensing Framework for Objective Assessment of Patient Responses to Dental Pulp Stimulation

Youngsun Kong, Yubin Choi, Dongjin Song +3

Patient responses to dental pulp testing, ranging from no sensation to intense pain, provide important information for assessing pulp status in endodontic diagnosis. However, pain…

eess.SP2026

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions

Yongbin Lee, Andrew Peitzsch, Youngsun Kong +4

Electrodermal activity (EDA) is widely used in wearable Internet of Medical Things (IoMT) systems for continuous health monitoring, including autonomic assessment. However, EDA sig…

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 New 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)…

cs.LG2024

Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise

Farnoush Baghestani, Mahdi Pirayesh Shirazi Nejad, Youngsun Kong +1

Continuous monitoring of non-invasive skin sympathetic nerve activity (SKNA) holds promise for understanding the sympathetic nervous system (SNS) dynamics in various physiological…

eess.SP2021★ 1 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…