Sung Jun Hong
Biographic Data
| ID | 7965463 |
|---|---|
| NAME | Sung Jun Hong |
| GIVEN NAMES | Sung Jun |
| FAMILY NAME | Hong |
| SIGNATURE | HONG S J |
| AFFILIATIONS | Samsung Medical Center |
| ORCID | 0000-0001-6116-9684 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues
In a deep learning model using the time-frequency HRV data, a significant predictor of IGD severity classification was parasympathetic tone reactivity when exposed to gaming situations. The reactivity of the sympathetic tone for the gaming situation could predict only the severe group of IGD. This study suggests that the autonomic response to the game-related cues can reflect the addiction status to the game
Altered Heart Rate Variability During Gameplay in Internet Gaming Disorder
Internet gaming disorder (IGD) is characterized by a loss of control over gaming and a decline in psychosocial functioning derived from excessive gameplay. We hypothesized that individuals with IGD would show different autonomic nervous system (ANS) responses to the games than those without IGD. In this study, heart rate variability (HRV) was assessed in 21 young males with IGD and 27 healthy controls while playing their favorite Internet game. T…
No prominent works on this page.
Altered Heart Rate Variability During Gameplay in Internet Gaming Disorder
Internet gaming disorder (IGD) is characterized by a loss of control over gaming and a decline in psychosocial functioning derived from excessive gameplay. We hypothesized that individuals with IGD would show different autonomic nervous system (ANS) responses to the games than those without IGD. In this study, heart rate variability (HRV) was assessed in 21 young males with IGD and 27 healthy controls while playing their favorite Internet game. T…
Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues
In a deep learning model using the time-frequency HRV data, a significant predictor of IGD severity classification was parasympathetic tone reactivity when exposed to gaming situations. The reactivity of the sympathetic tone for the gaming situation could predict only the severe group of IGD. This study suggests that the autonomic response to the game-related cues can reflect the addiction status to the game
Addiction (2 works) · Audiology (2 works) · Blood pressure (2 works) · Heart rate (2 works) · Heart rate variability (2 works) · Heart Rate Variability and Autonomic Control (2 works) · Impact of Technology on Adolescents (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Psychology (2 works)