• Title/Summary/Keyword: analysis of eye-movement

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The Association between Serotonin Reuptake Inhibitors and Obstructive Sleep Apnea in People with Epilepsy-A Retrospective Analysis

  • Cheng, Jocelyn Y.
    • Journal of Sleep Medicine
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    • v.15 no.2
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    • pp.43-47
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    • 2018
  • Objectives: Obstructive sleep apnea (OSA) is common in people with epilepsy (PWE), and confers medical and seizure-related consequences when untreated. Positive airway pressure, the gold-standard for OSA management, is limited by tolerability. As serotonin is involved respiratory control and amelioration of seizure-induced respiratory events, this study aims to determine whether serotonin reuptake inhibitors (SRIs) may represent a potential therapeutic option. Methods: A retrospective study of 100 PWE and OSA ${\geq}18$ years of age was conducted. The primary outcome measure was OSA severity as function of SRI use, with rapid eye movement (REM)-related OSA as a secondary outcome. Results: Older age and depression were more common in those taking an SRI. There was no association between SRIs and OSA severity. However, the SRI group was less likely to have REM-related OSA. Conclusions: In PWE and OSA, SRI use is associated with reduced risk of REM-related OSA, and may represent a potential management strategy.

Computational electroencephalography analysis for characterizing brain networks

  • Sunwoo, Jun-Sang;Cha, Kwang Su;Jung, Ki-Young
    • Annals of Clinical Neurophysiology
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    • v.22 no.2
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    • pp.82-91
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    • 2020
  • Electroencephalography (EEG) produces time-series data of neural oscillations in the brain, and is one of the most commonly used methods for investigating both normal brain functions and brain disorders. Quantitative EEG analysis enables identification of frequencies and brain activity that are activated or impaired. With studies on the structural and functional networks of the brain, the concept of the brain as a complex network has been fundamental to understand normal brain functions and the pathophysiology of various neurological disorders. Functional connectivity is a measure of neural synchrony in the brain network that refers to the statistical interdependency between neural oscillations over time. In this review, we first discuss the basic methods of EEG analysis, including preprocessing, spectral analysis, and functional-connectivity and graph-theory measures. We then review previous EEG studies of brain network characterization in several neurological disorders, including epilepsy, Alzheimer's disease, dementia with Lewy bodies, and idiopathic rapid eye movement sleep behavior disorder. Identifying the EEG-based network characteristics might improve the understanding of disease processes and aid the development of novel therapeutic approaches for various neurological disorders.

Object Detection Based on Deep Learning Model for Two Stage Tracking with Pest Behavior Patterns in Soybean (Glycine max (L.) Merr.)

  • Yu-Hyeon Park;Junyong Song;Sang-Gyu Kim ;Tae-Hwan Jun
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.89-89
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    • 2022
  • Soybean (Glycine max (L.) Merr.) is a representative food resource. To preserve the integrity of soybean, it is necessary to protect soybean yield and seed quality from threats of various pests and diseases. Riptortus pedestris is a well-known insect pest that causes the greatest loss of soybean yield in South Korea. This pest not only directly reduces yields but also causes disorders and diseases in plant growth. Unfortunately, no resistant soybean resources have been reported. Therefore, it is necessary to identify the distribution and movement of Riptortus pedestris at an early stage to reduce the damage caused by insect pests. Conventionally, the human eye has performed the diagnosis of agronomic traits related to pest outbreaks. However, due to human vision's subjectivity and impermanence, it is time-consuming, requires the assistance of specialists, and is labor-intensive. Therefore, the responses and behavior patterns of Riptortus pedestris to the scent of mixture R were visualized with a 3D model through the perspective of artificial intelligence. The movement patterns of Riptortus pedestris was analyzed by using time-series image data. In addition, classification was performed through visual analysis based on a deep learning model. In the object tracking, implemented using the YOLO series model, the path of the movement of pests shows a negative reaction to a mixture Rina video scene. As a result of 3D modeling using the x, y, and z-axis of the tracked objects, 80% of the subjects showed behavioral patterns consistent with the treatment of mixture R. In addition, these studies are being conducted in the soybean field and it will be possible to preserve the yield of soybeans through the application of a pest control platform to the early stage of soybeans.

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Analyzing Heart Rate Variability for Automatic Sleep Stage Classification (수면단계 자동분류를 위한 심박동변이도 분석)

  • 김원식;김교헌;박세진;신재우;윤영로
    • Science of Emotion and Sensibility
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    • v.6 no.4
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    • pp.9-14
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    • 2003
  • Sleep stages have been useful indicator to check a person's comfortableness in a sleep, But the traditional method of scoring sleep stages with polysomnography based on the integrated analysis of the electroencephalogram(EEG), electrooculogram(EOG), electrocardiogram(ECG), and electromyogram(EMG) is too restrictive to take a comfortable sleep for the participants, While the sympathetic nervous system is predominant during a wakefulness, the parasympathetic nervous system is more active during a sleep, Cardiovascular function is controlled by this autonomic nervous system, So, we have interpreted the heart rate variability(HRV) among sleep stages to find a simple method of classifying sleep stages, Six healthy male college students participated, and 12 night sleeps were recorded in this research, Sleep stages based on the "Standard scoring system for sleep stage" were automatically classified with polysomnograph by measuring EEG, EOG, ECG, and EMG(chin and leg) for the six participants during sleeping, To extract only the ECG signals from the polysomnograph and to interpret the HRV, a Sleep Data Acquisition/Analysis System was devised in this research, The power spectrum of HRV was divided into three ranges; low frequency(LF), medium frequency(MF), and high frequency(HF), It showed that, the LF/HF ratio of the Stage W(Wakefulness) was 325% higher than that of the Stage 2(p<.05), 628% higher than that of the Stage 3(p<.001), and 800% higher than that of the Stage 4(p<.001), Moreover, this ratio of the Stage 4 was 427% lower than that of the Stage REM (rapid eye movement) (p<.05) and 418% lower than that of the Stage l(p<.05), respectively, It was observed that the LF/HF ratio decreased monotonously as the sleep stage changes from the Stage W, Stage REM, Stage 1, Stage 2, Stage 3, to Stage 4, While the difference of the MF/(LF+HF) ratio among sleep Stages was not significant, it was higher in the Stage REM and Stage 3 than that of in the other sleep stages in view of descriptive statistic analysis for the sample group.

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A Study on Observation Characteristics by Sex shown in the process of Visual Appreciation of Space (공간의 시각적 이해과정에 나타난 성별 주시특성에 관한 연구)

  • Kim, Jong-Ha
    • Korean Institute of Interior Design Journal
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    • v.22 no.5
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    • pp.152-161
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    • 2013
  • This study is about the visual appreciation by sex with the analysis of time range of observing data which was got through observation experiment with the space of lobby in hospitals. The observation data of the subjects who observed the space include the frequency and time, through which the process of visual appreciation could be evaluated with the definition of the frequency and the time of observation. First, the fact that men had higher frequency of observation than women means the former had more movement than the latter, and another fact of their fewer times can be understood as the time of their staying was shorter. That is, even though the men had more movements of sight, they showed the feature of staying shorter. Second, the rate high and low of observation frequency and times made it possible for observation characteristics to be defined as 'intensive search' 'active search' 'fixed concentration' and 'search wandering.' The definition of understanding this process of visual appreciation can be available for a frame of effective analysis of observation characteristics according to the passage of time. Third, the intense search is the case of 'high frequency' having the feature of high visual appreciation owing to the active visual actions for acquiring information. Men were found to have more intense search which decreased gradually as time passed, while women showed the feature of many times of intense search. Fourth, it was found that with many observation data in a certain range of time the subjects had fixed concentration, where women were found to have repetitive fixed concentration along with the change of observation time while men were seen to have more observation tendency for fixed concentration. Fifth, at the cross tabulation of frequency and times, men had the feature of dispersed visual appreciation while women had more distinction between fixation and movement, which revealed that there is surely the difference between men and women in the process of visual appreciation.

Analysis of Gaze Related to Cooperation, Competition and Focus Levels (협력, 경쟁, 집중 수준에 따른 시선 분석)

  • Cho, Ji Eun;Lee, Dong Won;Park, MinJi;Whang, Min-Cheol
    • The Journal of the Korea Contents Association
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    • v.17 no.9
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    • pp.281-291
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    • 2017
  • Emotional interaction in virtual reality is necessary of social communication. However, social emotion has been tried to be less recognized quantitatively. This study was to determined social gaze of emotion in business domain. 417 emotion words were collected and 16 emotion words were selected to Goodness of Fit. Emotion word were mapped into 2 dimensional space through multidimensional scaling analysis. Then, X axis defined dimensions of cooperation, competition, and Y axis of low focus and high focus through the FGD. 52 subjects were presented to stimuli for emotion and gaze movement data were collected. Independent t-test results showed that the gaze factor increased in the face, eye, and nose areas at cooperation, and the gaze factor increased in the right face and nose areas at the low focus. It is expected that this will be used as a basic research to evaluate emotions needed in business environment in virtual space.

Study on the Characteristic of Dynamic Postural Control during Horizontal Translation of Support Surface (지지면의 수평 진동에 따른 동적 자세 제어 특성에 관한 연구)

  • Oh, G.Y.;Piao, Y.J.;Kwon, T.K.;Kim, N.G.
    • Journal of Biomedical Engineering Research
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    • v.30 no.6
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    • pp.495-502
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    • 2009
  • This paper investigated the effects of dynamic postural control for maintaining upright standing on a support surface during continuous sinusoidal horizontal translation in anterior-posterior direction. 15 healthy young subjects participated in this experiment. The analysis of body movement was analyzed using Ariel Performance Analysis System. Motion pattern was analyzed by seven markers on subject's body. Position of markers were head, chest, hip, right knee, left knee, right ankle and left ankle. Seven different frequencies of support surface were employed ; 0.1, 0.25, 0.5, 0.75, 1, 1.5 and 2Hz at 2cm of moving path of motionbase. The experiments were performed dynamic postural reponses at the condition of eye open. The results showed that median frequency of the knee, ankle were increased in all frequency bands. Following the frequency of perturbation increased, postural control strategy was changed from ankle strategy to combined strategy. The experiment results could be applied to the dynamic postural training for the elderly and the rehabilitation training for the patients to improving the ability of postural control.

A Study on the Facal motion and for Detection of area Using Kalman Fillter algorithm (Facal motion 예측 및 영역 검출을 위한 칼만 필터 알고리즘)

  • Seok, Gyeong-Hyu;Park, Bu-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.973-980
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    • 2011
  • In this paper, we gaze upon the movement faces the problem points are difficult to identify a user based on points and that corrective action is needed to solve the identification system is proposed a new eye. Kalman filter, the current head of the location information was used to estimate the future position in order to determine the authenticity of the face facial features and structural elements, the information and the processing time is relatively fast horizontal and vertical elements of the face using the histogram analysis to detect. And an infrared illuminator obtained by constructing a bright pupil effect in real-time detection of the pupil, the pupil was tracked - geulrinteu vectors are extracted.

The Saccades Distance Extraction Technique of Sight and the Spatial search Characteristics - Target Department Sports Store Space - (시선의 도약거리 추출 기법과 공간탐색 특성 - 백화점 스포츠 매장 공간을 대상으로 -)

  • Kim, Jong-Ha
    • Korean Institute of Interior Design Journal
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    • v.26 no.5
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    • pp.83-92
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    • 2017
  • This research is about the characteristics of the saccades that occurring in the process of observing the spatial. The size of the saccades is the visual activity for acquiring the information, and the search trace that left by the spatial visitor. Reviewed over the saccade through the analysis of observation process that appeared in the eye-tracking experiment of sports store from the department store, the saccade is defined as the sight movement in the process of finding a component to view in the spatial. If some spatial component induces saccade, and able to know which specific component acquired through the saccade, then the designer will have a clue which able to provide the spatial desired by the consumer. The results of analyzing the process in the deriving the spatial component and saccade characteristic from industrial space, can be summarised as follows. The first, the average fixed number of [IN].[OUT] zone appeared similarly, and it leads to knowing that the time used for attention with one frequency is about 0.3 seconds. Second, there were more saccades toward [$IN{\rightarrow}OUT$] (13 persons, 76.5%) than [$OUT{\rightarrow}IN$] (4 persons, 23.5%). The Los Angeles area has lots of interesting things to watch, so it able to thinks to begins with small saccade and then occur to bigger saccade activity to find new interests shortly after [OUT] saccade. Third, according to time range changes, keep eyes on the characteristics of saccade, [IN].[OUT] frequency has slightly decreased the changes of viewing time, but there was no significant change in an average number of observations. This means that the frequency and the number of observations are decreased together. Therefore, it can be seen that the amount of information to be acquired (frequency) is decreased (count) as the observation time elapses.

Typography for Efficient Visual Flow of Text Focused on Hangul (텍스트의 효율적 시각흐름을 위한 타이포그래피-한글을 중심으로-)

  • 신경주;김지현
    • Archives of design research
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    • v.11 no.3
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    • pp.187-196
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    • 1998
  • This study is intended to suggest the method of text arrangement in order to enhance visual perception which would help darify its communication. One hundred subjects without restriction of gender and profession participated in each experiment :their reading time was measured by the 0.01 second. The Analysis of Variance(two-way ANOVA without interaction) was performed for each experiment and the p value was 0.0001 which implies that there was a strong consistency among test results. Based on the first results, it is found that there is a consistent relationship between type size and text line length, and the following discovery was made ; the most effective ratio of type size to line length is approximately 1 :8. Judging from the Second and Third results, it seems that the vertical text arrangement is most efficient for reading regardless of text line length. So to make same rreading direction is more important than to narrow down the eye moving distance between column and column for efficient visual flow. This research supports the view that considering efficient eye movement on text, it is important to understand the mentioned variables that affect visual interpretation.

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