• 대한토목학회논문집
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• 제30권3D호
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• pp.231-240
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• 2010

교차로 교통사고의 주요 원인은 인적요인에 의한 교통사고가 대부분 차지하고 있어 운전자들의 주행특성 및 교통상황에 따른 심리적 생리적 변화측정을 통해 영향 요인 규명이 필요하다. 이에 본 연구에서는 운전자들의 인적요인을 고려한 개별 교차로 안전성 평가를 위하여 최첨단 계측장비를 활용한 뇌파반응을 측정하고 설문조사를 통해 평상시와 주행 실험시 운전자들의 인지특성 조사를 실시하였다. 교차로 접근시 뇌파변화와 주행실험 인지평가조사 자료의 관계성을 규명하고, 주행실험의 인지평가요인과 생체적 반응 뇌파데이터를 고려한 개별 교차로 안전성 평가 모형을 구축하였다. 그 결과, 교차로의 물리적 특성에 따라 생체반응 뇌파가 다르게 나타나고 인지평가 또한 차이가 있어 주행시 생체반응(뇌파)과정을 통해 인지평가를 하고 있음을 확인할 수 있었다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.251-252
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• 1998

Most of Electroencephalography(EEG) systems currently being used in hospitals don't support a standardized communication protocol for the exchange of orders, data and results. ASTM: E1467 protocol was proposed to expedite the EEG data exchange between different EEG systems and eventually between hospitals. In this paper, we present an Electroencephalography Information System using ASTM: E1467 protocol, with which patient registration, orders, interpretation, and review can be performed electronically. The system is designed using a component-based methodology. Most of the components are written in Visual C++ and Visual Basic. JAVA is also used to implement some components.

• 재활치료과학
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• 제7권2호
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• pp.9-16
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• 2018

목적 : 본 연구의 목적은 뇌손상 환자의 신경학적 변화 측정도구인 뇌전도의 측정도구 및 방법, 평가와 분석방법을 알아봄으로써 임상영역에서 뇌전도 측정 시 기초자료를 제시하는 것에 있다. 연구방법 : 전자 데이터 베이스인 Pubmed, Science Direct를 사용하였으며, 주요검색 용어로 'Electroencephalography', 'stroke', 'intervention OR training'을 사용하였다. 결과 : 뇌전도는 두뇌-컴퓨터 인터페이스(Brain-computer interface)를 이용하여 재활의 효과를 뇌의 활성화 상태 변화로 측정할 수 있는 도구로 기능적 뇌 재조직화 매커니즘을 확인할 수 있는 것으로 나타났다. 뇌전도 측정도구의 경우 다양한 채널, 전극의 형태 및 전극 부착 부위로 구성되어 있으며, 결과해석에 사용되는 주파수 또한 다양하게 나타났다. 결론 : 뇌전도는 중재에 대한 효과성을 신경학적으로 확인할 수 있을 뿐만 아니라 효율적인 작업치료를 위한 중재전략을 마련하는데 사용될 수 있을 것으로 사료된다.

• ETRI Journal
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• 제43권6호
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• pp.1081-1092
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• 2021

Electroencephalography (EEG) recordings taken during the perception of music tempo contain information that estimates the tempo of a music piece. If information about this tempo stimulus in EEG recordings can be extracted and classified, it can be effectively used to construct a music-based brain-computer interface. This study proposes a novel convolutional recurrent attention model (CRAM) to extract and classify features corresponding to tempo stimuli from EEG recordings of listeners who listened with concentration to the tempo of musics. The proposed CRAM is composed of six modules, namely, network inputs, two-dimensional convolutional bidirectional gated recurrent unit-based sample encoder, sample-level intuitive attention, segment encoder, segment-level intuitive attention, and softmax layer, to effectively model spatiotemporal features and improve the classification accuracy of tempo stimuli. To evaluate the proposed method's performance, we conducted experiments on two benchmark datasets. The proposed method achieves promising results, outperforming recent methods.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2003년도 추계학술대회 논문집
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• pp.1211-1212
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• 2003

본 연구에서는 감성 변화가 빈번하게 일어나는 오라인 포커 게임을 대상으로 EEG를 이용하여 게임 중 발생 할 수 있는 감성 변화를 알아내고자 하는 연구를 수행하였다. 포커 게임에서 나타날 수 있는 사용자의 감성과 행동을 Task Analysis를 이용하여 구분하였고 전두엽 표면 뇌파를 측정하여 Neural Network 및 통계적 처리를 이용하여 분석하였다. 이후 분석될 뇌파에서 인간의 감성상태를 구분할 수 있는 Index를 찾아내었다. 향후 ECG를 추가적으로 연구하여 감성상태를 더 정확하게 파악하는 연구가 진행될 것이다.

• Clinical and Experimental Pediatrics
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• 제64권8호
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• pp.384-392
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• 2021

Paroxysmal nonepileptic events (PNE) comprise of a variety of nonepileptic behaviors and are divided into various types. A more accurate diagnosis is possible by examining the video clip provided by the caregiver. In infants, physiologic PNE accounts for the majority of the PNE. It is important to exclude epilepsy, for which blood tests, electroencephalography, and imaging tests can facilitate differential diagnosis. Since most PNE have a benign progress, symptoms often improve with age and without special treatment. Therefore, it is important to reassure the caregivers after making an accurate diagnosis.

• 대한간호
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• 제26권1호통권139호
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• pp.13-22
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• 1987

• Journal of Chest Surgery
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• 제50권2호
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• pp.94-98
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• 2017

Background: Intraoperative monitoring during carotid endarterectomy is crucial for cerebral protection. We investigated the results of carotid endarterectomy under dual monitoring with stump pressure and electroencephalography. Methods: We retrospectively reviewed the medical records of 50 patients who underwent carotid endarterectomy between March 2010 and February 2016. We inserted a temporary shunt if the stump pressure was lower than 35 mm Hg or if any intraoperative change was observed on electroencephalography. Results: Seventeen (34%) patients used a temporary shunt, and the mean stump pressure was 26.8 mm Hg in the shunt group and 46.5 mm Hg in the non-shunt group. No postoperative mortality or bleeding occurred. Postoperatively, there were 3 cases (6%) of minor stroke, all of which took place in the shunt group. A comparison of the preoperative and the intraoperative characteristics of the shunt group with those of the non-shunt group revealed no statistically significant difference between the 2 groups (p<0.01). Conclusion: Dual monitoring with stump pressure and electroencephalography was found to be a safe and reliable monitoring method with results comparable to those obtained using single monitoring. Further study should be performed to investigate the precise role of each monitoring method.

• Journal of Korean Neurosurgical Society
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• 제59권2호
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• pp.154-157
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• 2016

A continuous electroencephalography (cEEG) can be helpful in detecting vasospasm and delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage (SAH). We describe a patient with an aneurysmal SAH whose symptomatic vasospasm was detected promptly by using a real-time cEEG. Patient was immediately treated by intraarterial vasodilator therapy. A 50-year-old woman without any significant medical history presented with a severe bifrontal headache due to acute SAH with a ruptured aneurysm on the anterior communicating artery (Fisher grade 3). On bleed day 6, she developed a sudden onset of global aphasia and left hemiparesis preceded by cEEG changes consistent with vasospasm. A stat chemical dilator therapy was performed and she recovered without significant neurological deficits. A real-time and protocol-based cEEG can be utilized in order to avoid any delay in detection of vasospasm in aneurysmal SAH and thereby improve clinical outcomes.

• Annals of Clinical Neurophysiology
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• 제22권2호
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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.