Jun Young Kim

Jan 9, 2024 | jssm.org | Jae Oh |Jun Young Kim |Jin Yoon

Lateral ankle sprain (LAS), the most common injury among athletes (Nelson et al., 2007; Gribble et al., 2016), is associated with high direct and indirect treatment costs (Shah et al., 2016; Feger et al., 2017). Among different sports, soccer has the highest incidence of LAS-related injuries. LAS in young soccer players accounts for approximately 20% of all injuries, resulting in a loss of time during training and competition (Kucera et al., 2005; De Ridder et al., 2017; Donovan et al., 2020).

Apr 20, 2023 | nature.com | Jun Young Kim |Myung Ho Jeong |Zeshan Shoaib |Arbab Akbar |Eung Soo Kim |Muhammad Ahmad Kamran

Drowsy driving is a common, but underestimated phenomenon in terms of associated risks as it often results in crashes causing fatalities and serious injuries. It is a challenging task to alert or reduce the driver’s drowsy state using non-invasive techniques. In this study, a drowsiness reduction strategy has been developed and analyzed using exposure to different light colors and recording the corresponding electrical and biological brain activities. 31 subjects were examined by dividing them into 2 classes, a control group, and a healthy group. Fourteen EEG and 42 fNIRS channels were used to gather neurological data from two brain regions (prefrontal and visual cortices). Experiments shining 3 different colored lights have been carried out on them at certain times when there is a high probability to get drowsy. The results of this study show that there is a significant increase in HbO of a sleep-deprived participant when he is exposed to blue light. Similarly, the beta band of EEG also showed an increased response. However, the study found that there is no considerable increase in HbO and beta band power in the case of red and green light exposures. In addition to that, values of other physiological signals acquired such as heart rate, eye blinking, and self-reported Karolinska Sleepiness Scale scores validated the findings predicted by the electrical and biological signals. The statistical significance of the signals achieved has been tested using repeated measures ANOVA and t-tests. Correlation scores were also calculated to find the association between the changes in the data signals with the corresponding changes in the alertness level.