Objective: To explore the effect of emotional optimization of workplace employees in immersive virtual natural environment. Methods: In July 2020, 15 subjects were selected to complete two groups of treadmill walking training experiments in virtual natural environment and daily environment respectively. At the same time, the subjects' skin electrical (EDA) , pulse frequency (Pf) , respiratory frequency (Rf) physiological data and Self-Assessment Manikin (SAM) data before and after walking were collected; the mean value of three dimensions of SAM and the emotion difference before and after the experiment were calculated. The differences of physiological indexes and subjective mood changes of subjects were tested by paired sample t-test. Results: Compared with the daily environment, the ΔEDA, ΔPf and ΔRf of the subjects in the virtual natural environment were all decreased , and the differences were statistically significant (P<0.05). There were statistically significant differences in pleasure and arousal between subjects before and after using the virtual natural environment (P <0.05). Compared with the daily environment, the Δpleasure degree of subjects using the virtual natural environment increased, and the Δarousal degree and Δdominance degree decreased, and the differences were statistically significant (P <0.05). Conclusion: Walking in virtual natural environment can help subjects improve their mood, relax and improve the regulation ability of autonomic nervous system.
Arousal ; Emotions/physiology* ; Heart Rate ; Humans ; Virtual Reality ; Workplace

There are two modes to display panoramic movies in virtual reality (VR) environment: non-stereoscopic mode (2D) and stereoscopic mode (3D). It has not been fully studied whether there are differences in the activation effect between these two continuous display modes on emotional arousal and what characteristics of the related neural activity are. In this paper, we designed a cognitive psychology experiment in order to compare the effects of VR-2D and VR-3D on emotional arousal by analyzing synchronously collected scalp electroencephalogram signals. We used support vector machine (SVM) to verify the neurophysiological differences between the two modes in VR environment. The results showed that compared with VR-2D films, VR-3D films evoked significantly higher electroencephalogram (EEG) power (mainly reflected in α and β activities). The significantly improved β wave power in VR-3D mode showed that 3D vision brought more intense cortical activity, which might lead to higher arousal. At the same time, the more intense α activity in the occipital region of the brain also suggested that VR-3D films might cause higher visual fatigue. By the means of neurocinematics, this paper demonstrates that EEG activity can well reflect the effects of different vision modes on the characteristics of the viewers' neural activities. The current study provides theoretical support not only for the future exploration of the image language under the VR perspective, but for future VR film shooting methods and human emotion research.
Arousal ; Electroencephalography ; Emotions/physiology* ; Humans ; Motion Pictures ; Virtual Reality

Vigilance is defined as the ability to maintain attention or alertness over prolonged periods of time. Since Mid-20th century, following the increasing man-machine communication, high level of vigilance has been demanded in many areas including driving safety, medical care and therapy, aerospace and military affairs, etc. Therefore, finding quick methods to improve the level of vigilance has become a key issue in medical study. Based on physical regulation, chemical regulation and physiological regulation, the research progress has been summarized in this paper. We, furthermore, also try to predict the future trend in this academic area and develop some tentative ideas about seeking more effective and convenient ways to improve the level of brain vigilance.
Arousal ; physiology ; Attention ; Brain ; physiology ; Coffee ; Humans ; Light ; Rest ; physiology ; Sound

Vigilance is the body level of awareness for objective things. It has been used in security, medical and other fields since people used it as an objective indicator. Therefore automatical vigilance detection has become a major issue needed to be resolved as soon as possible. The methods of vigilance detection at home and abroad in recent years was analyzed in this paper, which will benefit the research and the people dedicated in vigilance detection.
Arousal ; physiology ; Awareness ; physiology ; Brain ; physiology ; Electrocardiography ; Electroencephalography ; Humans ; Neural Networks (Computer) ; Pulse ; Signal Detection, Psychological ; physiology ; Task Performance and Analysis

Poor and monotonous work could easily lead to a decrease of arousal level of the monitoring work personnel. In order to improve the performance of monitoring work, low arousal level needs to be recognized and awakened. We proposed a recognition method of low arousal by the electroencephalogram (EEG) as the object of study to recognize the low arousal level in the vigilance. We used wavelet packet transform to decompose the EEG signal so the EEG rhythms of each component were obtained, and then we calculated the parameters of relative energy and energy ratio of high-low frequency, and constructed the feature vector to monitor low arousal state in the operation. We finally used support vector machine (SVM) to recognize the low arousal state in the simulate operation. The experimental results showed that the method introduced in this article could well distinguish low arousal level from arousal level in the vigilance and it could also get a high recognition rate. Have been compared with other analysis methods, the present method could more effectively recognize low arousal level and provide better technical support for wake-up mechanism of low arousal state.
Arousal ; Brain ; physiology ; Electroencephalography ; Humans ; Signal Processing, Computer-Assisted ; Support Vector Machine ; Wavelet Analysis

Exploring the functional network during the interaction between emotion and cognition is an important way to reveal the underlying neural connections in the brain. Sparse Bayesian network (SBN) has been used to analyze causal characteristics of brain regions and has gradually been applied to the research of brain network. In this study, we got theta band and alpha band from emotion electroencephalogram (EEG) of 22 subjects, constructed effective networks of different arousal, and analyzed measurements of complex network including degree, average clustering coefficient and characteristic path length. We found that: (1) compared with EEG signal of low arousal, left middle temporal extensively interacted with other regions in high arousal, while right superior frontal interacted less; (2) average clustering coefficient was higher in high arousal and characteristic path length was shorter in low arousal.
Arousal ; Bayes Theorem ; Brain ; physiology ; Brain Mapping ; Cluster Analysis ; Cognition ; Electroencephalography ; Emotions ; Humans

We investigated blood pressure (BP) reactivity of obstructive sleep apnea (OSA) during rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep. The influences on BP reactivity of degree of arousal, the lowest O2 saturation (SaO2), and respiratory disturbance (RD) duration were compared. Ten normotensive or borderline hypertensive patients with OSA were studied with one-night polysomnography including non-invasive beat-to-beat BP monitoring (Finapres(R)). We compared baseline BP, pre-apneic BP, and post-apneic BP during both REM and NREM sleep. Also, relationships between delta BP (post-apneic BP minus pre-apneic BP) and degree of arousal, the lowest SaO2, and RD duration were examined. During both REM and NREM sleep, pre-apneic BP was elevated compared with baseline BP. Post-apneic BP elevation was noted compared with pre-apneic BP. The degree of arousal was more significantly correlated with delta BP than the lowest SaO2. RD duration was hardly correlated with delta BP. Pre-apneic BP elevation seems to result from cumulation of sympathetic activation and sympathetic nervous system resetting. The correlation between delta BP and degree of arousal suggests that sympathetic activation causing post-apneic BP elevation may result mainly from an arousal response regardless of hypoxia.
Adult ; Aged ; Anoxia/physiopathology ; Arousal/*physiology ; Blood Pressure/*physiology ; Human ; Male ; Middle Age ; Oxygen/blood ; Sleep Apnea, Obstructive/diagnosis/*physiopathology ; Sleep, REM/*physiology ; Sympathetic Nervous System/physiology

Norepinephrine (NE)-containing locus ceruleus (LC) has been known to participate in the regulation of the sleep-wake cycle according to the differential firing rate. The aim of this study was to know the change of extracellular NE level in the rat amygdala, which are reciprocally connected with LC, during sleep-wake-fulness. Extracellular NE levels in the rat amygdala were inrestigated during different stages of the sleep-waking cycle using in vivo microdialysis and polygraphic recording. Dialysates were collected every 5 min and correlated with the results of polygraphic recording. The content of NE was measured by high-performance liquid chromatography with electrochemical detection. NE level was the highest in active waking (AW) and, when compared to AW, NE level was progressively lower in quiet waking (QW; 86%), quiet sleep (QS; 72%), and active sleep (AS or REM sleep; 61%). This result suggests that the rat amygdala also participates in the regulation of the sleep-wake cycle according to the differential NE release.
Amygdala/*metabolism ; Animals ; Arousal/*physiology ; Electroencephalography ; Extracellular Space/metabolism ; Locus Coeruleus/metabolism ; Male ; Microdialysis ; Norepinephrine/*metabolism ; Rats ; Rats, Sprague-Dawley ; Sleep/*physiology

OBJECTIVETo evaluate the feasibility of pulse transit time (PTT) arousals as an index of sleep fragmentation in patients with obstructive sleep apnea hypopnea syndrome (OSAHS).

METHODSIndividuals referred for evaluation of possible OSAHS underwent overnight polysomnography (PSG). Three conventional indices of sleep fragmentation [electroencephalography (EEG) arousals, apnea/hypopnea index (AHI) , oxygen desaturation index (ODI)] , PTT arousals, and Epworth sleepiness scale (ESS) were compared.

RESULTSPTT arousals were positively correlated with EEG arousals (r = 0.746, P < 0.001), AHI (r = 0.786, P < 0.001), and ODI (r = 0.665, P < 0.001) , respectively. But, both PTT arousals and EEG arousals had no correlation with ESS (r = 0.432, P = 0.201; r = 0.196, P = 0.591, respectively).

CONCLUSIONPTT arousals are correlated well with other standard measures estimating severity of OSAHS and potentially a non-invasive marker with which to measure the sleep fragmentation in patients with OSAHS.

Adult ; Arousal ; physiology ; Autonomic Nervous System ; physiopathology ; Electrocardiography ; Electroencephalography ; Humans ; Middle Aged ; Pulse ; Sleep Apnea Syndromes ; physiopathology ; Sleep Apnea, Obstructive ; physiopathology ; Sleep Stages ; physiology

Adolescent ; Arousal ; physiology ; Child ; Child, Preschool ; Electroencephalography ; methods ; Female ; Humans ; Male ; Polysomnography ; Sleep Apnea Syndromes ; physiopathology ; Sleep Apnea, Obstructive ; physiopathology ; Sleep Stages ; physiology