• 한국게임학회 논문지
• /
• 제9권2호
• /
• pp.23-28
• /
• 2009

본 논문에서는 뇌파 측정 장비를 활용하여 집중력 지표를 구하고 이를 게임에 활용함으로써 집중력을 향상시키는 기능성 게임을 구현한다. 이를 위하여 뇌파의 정의 및 종류에 대해 알아 보고 집중력 향상과의 연관관계를 도출한다. 이러한 관계에 의하여 집중력 지표를 산출하고 이 지표를 집중력 향상 게임 개발에 적용하여 사용자가 게임에 더욱 집중하게 함으로써 집중력 향상 훈련이 가능한 게임을 구현하였으며, 실험자를 대상으로 집중력 향상에 관한 실험을 한 결과 집중력 향상에 대한 기대도가 높은 것으로 분석되었다.

• 대한의용생체공학회:의공학회지
• /
• 제28권6호
• /
• pp.750-755
• /
• 2007

The linear SEF (Spectral Edge Frequency) parameter and spectrum analysis method can not reflect the non-linear of EEG. This method can not contribute to acquire real time analysis and obtain a high confidence in the clinic due to low discrimination. To solve the problems, the development of a new index is carried out using the bispectrum analyzing the EEG including the non-linear characteristic. At the bispectrum analysis of the 2 dimension, the most significant's power spectrum density peaks appeared much at the specific area in awake and anesthesia state. Because many peaks are showed at the specific area in the frequency coordinate, these points are used to create the new index. Range of the index is 0-100. At the anesthesia, the index is 20-50 and at the awake, the index is 90-60. New index can discriminate the awake and anesthesia state.

• 전자공학회논문지SC
• /
• 제46권2호
• /
• pp.41-46
• /
• 2009

본 연구는 두피에서 발생하는 EEG(Electroencephalogram)신호를 측정한 후 두뇌활동과 관련된 지표 중 집중도를 추출하여 집중도의 크기에 따라 하드웨어를 제어하는 집중도 무선전송 시스템을 구연하고자 하였다. 뇌파신호를 측정하여 집중도를 추출하기 위해 두피의 좌, 우 두 채널을 사용하였으며 Biopac의 MP100과 EEG100C을 이용하여 뇌파신호 계측 증폭 및 필터링을 하였다. 계측된 EEG 신호로부터 특정 주파수 대역 및 스펙트럼을 분석하기 위해서 LabVIEW 8.5를 이용하여 FFT(Fast Fourier Transformation)처리를 하였다. 이를 통해 SMR파, Mid-Bata파, Theta파 주파수영역으로 분류 한 후 집중도 추출 알고리즘을 적용하여 집중도 지표를 추출하였고 추출된 집중도 신호를 무선전송하여 BCI(Brain Computer Interface)기술에 응용하고자 레고 자동차에 적용하여 보았다.

• The Korean Journal of Physiology and Pharmacology
• /
• 제28권3호
• /
• pp.253-264
• /
• 2024

Chronic neuropathic pain (CNP) is a complex condition often arising from neural maladaptation after nerve injury. Understanding CNP complications involves the intricate interplay between brain-heart dynamics, assessed through quantitative electroencephalogram (qEEG) and heart rate variability (HRV). However, insights into their interaction in chronic pain are limited. Resting EEG and simultaneous electrocardiogram (lead II) of the participants were recorded for qEEG and HRV analysis. Correlations between HRV and qEEG parameters were calculated and compared with age, sex, and body mass index (BMI)-matched controls. CNP patients showed reduced HRV and significant increases in qEEG power spectral densities within delta, theta, and beta frequency ranges. A positive correlation was found between low frequency/high frequency (LF/HF) ratio in HRV analysis and theta, alpha, and beta frequency bands in qEEG among CNP patients. However, no significant correlation was observed between parasympathetic indices and theta, beta bands in qEEG within CNP group, unlike age, sex, and BMI-matched healthy controls. CNP patients display significant HRV reductions and distinctive qEEG patterns. While healthy controls exhibit significant correlations between parasympathetic HRV parameters and qEEG spectral densities, these relationships are diminished or absent in CNP individuals. LF/HF ratio, reflecting sympathovagal balance, correlates significantly with qEEG frequency bands (theta, alpha, beta), illuminating autonomic dysregulation in CNP. These findings emphasize the intricate brain-heart interplay in chronic pain, warranting further exploration.

• 한국감성과학회:학술대회논문집
• /
• 한국감성과학회 2000년도 추계학술대회 논문집
• /
• pp.38-43
• /
• 2000

In this present study, the correlation between subjective preference of essential odors and EEG response were investigated quantitatively. EEG signals were measured from 19 electrodes according to the International 10-20 system (Fpl, Fp2, F2/4, F7/8, Fz, C3/4, Cz, P3/4, Pz, T3/4, T5/6, Ol/2) from 8 healthy males subjects in four odor conditions. Four odor conditions (Rose oil bulgarian, Lemon oil misitano, Jasmin abs, Laverder iol france (KIMEX co. Ltd)) were applied for each subject in the experiment. Through the subjective evaluation, the most pleasant odor for each subject was determined. The power spectrum of ${\alpha}$/${\beta}$ of EEG signals from the most pleasant odor was compared with those from the control condition, which has no odor at all. It was observed that the power spectrum of ${\alpha}$/${\beta}$ of EEG from the most pleasant odor was increased significantly on F3, F3, F4,74 comparing to the control condition. This result indicates that the power spectrum of ai${\beta}$ could be a new index for measuring the levels of pleasantness of odors.

• 대한인간공학회지
• /
• 제20권3호
• /
• pp.1-9
• /
• 2001

In the present study, the correlation between subjective assessment and EEG for essential odors were investigated quantitatively. EEG signals were measured from 19 electrodes according to the International 10-20 system (Fp1, Fp2, F3/4, F7/8, Fz, C3/4, Cz, P3/4, Pz, T3/4, T5/6, O1/2) from 8 healthy males subjects for four odor(Rose oil bulgarian, Lemon oil misitano, jasmin abs, Laverder oil france (KIMEX co. Ltd) conditions. The result of the subjective assessment shows the most pleasant odor for each subject. and the power spectrum of ${\alpha}/({\alpha}+{\beta})$ of EEG signals from the most pleasant odor was compared with those from the control condition, which has no odor at all. Power spectrum of ${\alpha}/({\alpha}+{\beta})$ of EEG from the most pleasant odor was increased significantly at T4, T6 compared to the control condition. This result implies that the parameter, power spectrum of ${\alpha}/({\alpha}+{\beta})$, could be an important index for signifying the levels of pleasantness for odors.

• 한국의류학회지
• /
• 제44권5호
• /
• pp.824-836
• /
• 2020

This study investigated the effects of textile attachments on electroencephalogram using 20 persons (10 males and 10 females). Four types of attachment cushions were manufactured by changing the shell fabric (cotton and microfiber) and interlining (synthetic loose fiber and buckwheat). This was done using BIOS-S8 (BioBrain Inc., Korea), an 8-channel polygraph for multi-body signal measurement, to measure EEG. Data were analyzed using the SPSS 24.0 statistical program. EEG values were significantly activated according to gender, particularly when the subjects' eyes were open. For the male cases, 'RT', 'RAHB' values were highly activated and for the female cases, 'RA', 'RB', 'RG', 'RFA', 'RST', 'RLB', 'RMB', 'RST', 'RMT' values were highly activated. Examining the differences in EEG according to type of attachment indicated no significant difference in both sexes. However, in cases of females with their eyes closed, the 'RSA' index was quite different in the left occipital lobe (O1), and when their eyes were open, the 'RFA' in the right frontal lobe (F4) showed a significant difference. However, there was no obvious correlation between the activation of EEG and the subjective preference of textile attachments.

• 영재교육연구
• /
• 제15권1호
• /
• pp.67-84
• /
• 2005

과학영재 판별의 대안적 도구로서의 가능성을 찾아보기 위하여 영재 집단과 일반 집단의 뇌파검사를 실시하였다. 뇌파의 주성분 공간분석법인 PCA분석 자료의 집단별 차이점을 이용하여 과학영재 판별지수(Gifted Index: G-Index)를 개발하고 과학영재 판별의 가능성을 탐색하여 보았더니 76% 수준에서의 판별 효과를 얻을 수 있었다. 또 과학영재 판별이 가능한 기타 판별도구 성취도들 간의 상관관계를 바탕으로 하여 회귀분석을 시도한 결과는로 나타났다. 이를 근거로 한 영재 판별 확률식을 제안하면 $$P=\frac 1{1+e^{-[-0.018(TTCT)+0.057(IQ)+1.916(FASP)+0.682(V.T)+0.088(Exp.)+0.034(G-Index)-57.510]}}$$와 같고 이 회귀분석식을 적용한 결과 영재 집단 내에서의 판별 가능성이 95% 수준에서 매우 우수하였다. 따라서 과학영재 판별의 대안적 도구로서의 뇌파검사와 G-Index의 유용성을 확인할 수 있었다.

• 한국산학기술학회논문지
• /
• 제14권1호
• /
• pp.418-425
• /
• 2013

본 논문에서는 3가지 향기가 뇌파유형에 따른 피험자에게 미치는 영향과 피험자의 쾌적성 및 생산성을 향상시킬 수 있는 최적의 향기를 찾기 위한 연구를 하였다. 피험자들을 A타입과 B타입으로 분류하여 뇌파(EEG), 학습능력 및 심박동변이(HRV)를 측정하여 쾌적성, 집중력, 스트레스 및 심장박동의 변화를 분석하였다. 항온 항습실은 온도 31[$^{\circ}C$], 상대습도 80[RH%], 조도 1,000[lux] 및 기류 속도 0.02[m/sec]의 상대적으로 불쾌적한 조건에서 로즈마리, 쟈스민 및 헤이즐넛 향기를 이용하여 실내 환경을 변화시켜 주었다. 연구결과 쟈스민 향기가 A타입과 B타입의 상대${\alpha}$파, SEF50, $\frac{SMR}{\theta}$ 및 SDNN이 활성화 되었으며, 비대칭지수, 스트레스지수 및 피로도는 감소하였다. A타입과 B타입 모두 쟈스민 향기를 선호하는 것을 알 수 있었으나, A타입이 B타입 보다 향기에 더욱 민감하게 반응하였다. 따라서 쟈스민 향기가 쾌적성, 생산성 및 집중력 향상과 스트레스 및 피로도 감소에 효과적이다.

• 대한의용생체공학회:의공학회지
• /
• 제30권5호
• /
• pp.428-437
• /
• 2009

The Performance research about EEG-BCI algorithm in BCI-naive subjects is very important for evaluating the applicability to the public. We analyzed the result of the performance evaluation experiment about the EEG-BCI algorithm in BCI-naive subjects on three different aspects. The EEG-BCI algorithm used in this paper is composed of the common spatial pattern(CSP) and the least square linear classifier. CSP is used for obtaining the characteristic of event related desynchronization, and the least square linear classifier classifies the motor imagery EEG data of the left hand or right hand. The performance evaluation experiments about EEG-BCI algorithm is conducted for 40 men and women whose age are 23.87${\pm}$2.47. The performance evaluation about EEG-BCI algorithm in BCI-naive subjects is analyzed in terms of the accuracy, the relation between the information transfer rate and the accuracy, and the performance changes when the different types of cue were used in the training session and testing session. On the result of experiment, BCI-naive group has about 20% subjects whose accuracy exceed 0.7. And this results of the accuracy were not effected significantly by the types of cue. The Information transfer rate is in the inverse proportion to the accuracy. And the accuracy shows the severe deterioration when the motor imagery is less then 2 seconds.