Preventive Effect of Mebicar and Ginsenoside Rg1 on Neurobehavioral and Immunological Disruptions Caused by Intermittent Unpredictable Stress in Mice.

Objectives: Ginsenoside Rg1 and mebicar have been reported to have broad efficacy spectrum, including anti-anxiety and anti-stress. These drugs have been used not only for treatment but also for the purpose of increasing resistance from disease. A specific aim of this study was to investigate whether mebicar or ginsenoside Rg1 can prevent physiological changes resulting from intermittent unpredictable stress (IUS).

Differential anxiety-like behavior, HPA responsiveness, and host-resistance in mice with different circling preference.

Relationships between behavioral sidedness and immune responses in previous studies have differed depending on behavior tests and severity of biological stress in mice. It was necessary to elucidate the psychophysiological mediators that connect behavioral sidedness and immune responses. This study investigated interrelationships among anxiety-like behavior, the HPA axis responsiveness, and host-resistance to bacterial infection.

A Novel Animal Model Simulating the Beginning of Combat Exposure.

Objective: Predator stress, social defeat stress, and fear conditioning animal models have been applied to investigate combat-related posttraumatic stress disorder (PTSD). However, no animal model psychopharmacological studies have investigated prevention of somatization of increased mental stress and fatigue at the beginning of combat exposure. This study utilized a novel animal model simulating the beginning of combat exposure that aided specification of a set of biomarkers.

Wearable bio signal monitoring system applied to aviation safety.

Pilots are required to have the ability to evaluate their own physical and psychological status to operate high performance aircrafts effectively. Existing studies have lacked consideration of applying bio signal of pilots in real time flight situation. The purpose of this study is to develop a wearable bio signal monitoring system that can measure the condition of pilots under an extreme flight environment to ensure flight safety.

G-LOC Warning Algorithms Based on EMG Features of the Gastrocnemius Muscle.

Background: G-induced loss of consciousness (G-LOC) is mainly caused by failure to sustain an oxygenated blood supply to the pilot's brain because of the sudden acceleration in the direction of the +Gz axis, and is considered a critical safety issue. The purpose of this study was to develop G-LOC warning algorithms based on monitoring electromyograms (EMG) of the gastrocnemius muscle on the calf.

Methods: EMG data was retrieved from a total of 67 pilots and pilot trainees of the Korean Air Force during high-G training on a human centrifugal simulator.

Detection of G-Induced Loss of Consciousness (G-LOC) prognosis through EMG monitoring on gastrocnemius muscle in flight.

G-Induced Loss of Consciousness (G-LOC) is mainly caused by the sudden acceleration in the direction of +Gz axis from the fighter pilots, and is considered as an emergent situation of which fighter pilots are constantly aware. In order to resist against G-LOC, fighter pilots are subject to run Anti-G straining maneuver (AGSM), which includes L-1 respiration maneuvering and muscular contraction of the whole body. The purpose of this study is to create a G-LOC warning alarm prior to G-LOC by monitoring the Electromyogram (EMG) of the gastrocnemius muscle on the calf, which goes under constant muscular contraction during the AGSM process.