This study presents the primary outcomes of the neurological and emotional responses to inhalation and foot baths using the clary sage aroma. Clary sage inhalation produced varying effects on EEG (electroencephalography) depending on the concentration used, inactivating  and  waves while activating  waves, γ waves, RSMR, SEF50 and SEF90. Inhalation is more effective at enhancing individual performance and focus than promoting relaxation. The clary sage foot bath activated  waves and RSMR, while inactivating  waves, γ waves, SEF50, and SEF90. The foot bath approach has a calming impact on the mind and body, as well as reducing arousal and stress. While the advantages of clary sage inhalation and foot bath therapy are distinct, both involve the activation of RSMR, which enhances focus at work and aids in the treatment of depression and anxiety disorders. Although the emotional features of clary sage oil vary according to the dose used for inhalation, it was typically assessed as a feminine and refreshing aroma, and the clary sage foot bath was evaluated as a pleasant, invigorating, refreshing, feminine, soft, and calming fragrance. When clary sage was used in the foot bath therapy, it evoked a stronger emotional response than when it was inhaled. These findings suggest that a clary sage foot bath can be used to enhance work-related focus while also relaxing the body by activating  waves and inactivating SEF50 and SEF90.

Purpose: Since the advent of smart phones, the amount of time spending on their use has rapidly increased and there are several health concerns regarding sight, causing prolonged smart phones viewing. The purpose of this study was to estimate how much eyes become fatigued based on quantitative electroencephalogram(qEEG) and to analyze the correlation between the fatigue and attention using event-related potentials(ERPs) as objective assessments. Methods: here were thirty, healthy, right-handed subjects(male 15, female 15) participating in this study. 64-channel of qEEG data with their eye-closed was collected and they performed Go/Nogo tasks before and after watching smart phones. A questionnaire regarding the visual fatigue was also collected in both conditions. The changes of pre- and post-task of watching smart phones were analyzed and compared in terms of four wavebands and algorithms, delta(δ), theta(θ), alpha(α), beta(β), (α+ θ)/ β, α/ β, (α+θ)/(α+β), and θ/ β for fatigue detection. Results: The results clearly show that all four energy values of qEEG and algorithms related to the fatigue in the post-viewing condition significantly changed than those in the pre-viewing condition. As seen in the results of ERP, nogo-N2 amplitude only on Fz electrode was slightly higher and nogo-P3 amplitudes on Fz and Cz were considerably lower in the post-task than in the pre-watching. However, there were no significant differences of go-N2 and P3 found at any electrodes. The results of behavioral performance demonstrate that the error rates(ER) of nogo-condition were obviously increased after using smart phones and there was a tendency for reaction time(RT) to be delayed compared with before watching it. Conclusions: This research denotes that it can be a fairly useful measure for using qEEG and ERP when assessing the visual fatigue. Its findings suggest that a sustained smart phone viewing leads to the visual fatigue and it can have adverse effects on distraction.

본 연구는 2009년 12월부터 2010년 7월까지 일반계 여고 40명, 일반계 남녀공학 40명, 예고남여공학 30명 학생들을 대상으로 전전두엽 뇌파측정 결과를 바탕으로 산출된 다양한 뇌기능분석과 뇌기능지수를 통해 예능계 고등학생들의 뇌 발달 특성과 정서 및 성향이 일반계 고등학생들과 차이점이 무엇인지 구체적으로 파악하였다. 목적에 따라 분석한 연구 결과는 다음과 같다. 첫째, 예능계 고등학생과 일반계 고등학생 간에 전전두엽 뇌파에서 몇 가지 범주에서 차이가 있었다. 둘째, 좌우뇌 균형에 있어 예능계 고등학생과 일반계 고등학생 뇌파에서 차이가 없었다. 셋째, 예능계 고등학생과 일반계 고등학생 간에 정서 및 성향에서 차이가 없었다.

뇌파는 초기에 원숭이가 모터로 팔을 조작하기 위한 방법에 관한 연구로 시작되었다. 최근에는, 측정한 뇌파를 치매 환자의 치매 진행 정도를 늦추거나 집중력결핍 과잉행동장애 아이들의 집중력을 높이기 위한 연구들이 진행되고 있다. 그리고 저가의 뇌파 측정 장치가 출시되면서 게임 인터페이스로도 사용된다. 뇌파로 게임을 제어할 때의 문제점은 사람마다 평균 진폭, 평균 파장 그리고 평균 진동 횟수가 다르다는 것이다. 뇌파 차이는 뇌파로 게임을 제어할 때 형평성 문제를 발생시키기 때문에 뇌파를 정규화해서 사용하는 방법이 필요하다. 이 논문에서는 정규분포를 사용해서 측정한 뇌파를 정규화하고 제어로 사용할 파형을 계산하는 방법을 제안한다. 이를 위해서 뇌파 변환 과정을 7단계로 나누어 처리하는 프레임워크를 제안하고 각 단계에 필요한 계산과정을 기술한다. 실험에서는 BCI 영어단어 학습 프로그램에 제안한 방법을 적용하여 두 피험자 파형을 비교했다. 실험에서는 두 피험자의 파형 유사 정도를 상관계수로 측정했다. 명상 값은 제안한 방법을 적용할 때 약 13%가 증가되었고 집중 값은 약 8%정도 증가되었다. 제안한 정규화 방법은 뇌파에 반영된 개인의 특성을 줄여서 제어에 적합한 파형으로 변환하기 때문에 게임과 같은 응용프로그램에 적합하다.