• 제목/요약/키워드: EEG rhythm

검색결과 48건 처리시간 0.026초

Brain Alpha Rhythm Component in fMRI and EEG

  • Jeong Jeong-Won
    • 대한의용생체공학회:의공학회지
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    • 제26권4호
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    • pp.223-230
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    • 2005
  • This paper presents a new approach to investigate spatial correlation between independent components of brain alpha activity in functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). To avoid potential problems of simultaneous fMRI and EEG acquisitions in imaging pure alpha activity, data from each modality were acquired separately under a 'three conditions' setup where one of the conditions involved closing eyes and relaxing, thus making it conducive to generation of alpha activity. The other two conditions -- eyes open in a lighted room or engaged in a mental arithmetic task, were designed to attenuate alpha activity. Using a Mixture Density Independent Component Analysis (MD-ICA) that incorporates flexible non-linearity functions into the conventional ICA framework, we could identify the spatiotemporal components of fMRI activations and EEG activities associated with the alpha rhythm. Then, the sources of the individual EEG alpha activity component were localized by a Maximum Entropy (ME) method that is specially designed to find the most probable dipole distribution minimizing the localization error in sense of LMSE. The resulting active dipoles were spatially transformed to 3D MRls of the subject and compared to fMRI alpha activity maps. A good spatial correlation was found in the spatial distribution of alpha sources derived independently from fMRI and EEG, suggesting the proposed method can localize the cortical areas responsible for generating alpha activity successfully in either fMRI or EEG. Finally a functional connectivity analysis was applied to show that alpha activity sources of both modalities were also functionally connected to each other, implying that they are involved in performing a common function: 'the generation of alpha rhythms'.

운동 의도에 따른 뇌파-근전도 신호 간 연결성 분석 (Connectivity Analysis Between EEG and EMG Signals by the Status of Movement Intention)

  • 김병남;김연희;김래현;권규현;장원석;유선국
    • 감성과학
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    • 제19권1호
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    • pp.31-38
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    • 2016
  • 뇌와 근육은 상의 하달식 구조로 상지 운동 수행 과정에서 뇌파와 근전도 신호의 변화와 함께 기능적 연결성이 발생한다. 본 논문에서는 사용자가 상지 운동을 수행하였을 때의 뇌파와 근전도 신호에 대해 코히어런스 방법을 적용하여 운동 의도 여부에 따른 뇌와 근육간의 연결성 차이를 규명하고자 한다. 상지 운동을 수행하는 과정에서 운동 피질 영역의 뇌파는 뮤 리듬(mu rhythm, 8~14 Hz)과 베타 리듬(beta rhythm, 15~30 Hz)에서 활성화 되며, 근전도 신호는 베타 리듬과 파이퍼 리듬(piper rhythm, 30~60 Hz)에서 활성화 된다. 뇌파와 근전도 신호간의 코히어런스 분석 결과 운동 의도를 포함한 능동 운동 수행 시 수동 운동을 수행하였을 때 보다 유의미한 차이로 높은 코히어런스 계수가 확인되었다. 이는 인지적 반응과 근육의 움직임 사이의 코히어런스 관계로 운동 의도가 포함된 상지 운동 수행 과정에서의 뇌와 근육간의 연결성을 해석할 수 있었다. 운동 의도에 따른 뇌-근육간의 코히어런스 특징을 이용한다면 재활기기 사용자의 운동 의도에 따라 피드백이 필요한 재활 훈련 시스템 설계에 도움이 될 수 있을 것으로 사료된다.

Investigation of Visual Perception Under Zen-Meditation Based On Alpha-Dependent F-VEPs

  • Liao, Hsien-Cheng;Liu, Chuan-Yi;Lo, Pei-Chen
    • 대한의용생체공학회:의공학회지
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    • 제27권6호
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    • pp.384-391
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    • 2006
  • Variation of brain dynamics under Zen meditation has been one of our major research interests for years. One issue encountered is the inaccessibility to the actual meditation level or stage as a reference. In this paper, we propose an alternative strategy for investigating the human brain in response to external flash stimuli during Zen meditation course. To secure a consistent condition of the brain dynamics when applying stimulation, we designed a recording of flash visual evoked potentials (F-VEPs) based on a constant background EEG (electroencephalograph) frontal $\alpha-rhythm$ dominating activities that increase significantly during Zen meditation. Thus the flash-light stimulus was to be applied upon emergence of the frontal $\alpha-rhythm$. The alpha-dependent F-VEPs were then employed to inspect the effect of Zen meditation on brain dynamics. Based on the experimental protocol proposed, considerable differences between experimental and control groups were obtained. Our results showed that amplitudes of P1-N2 and N2-P2 on Cz and Fz increased significantly during meditation, contrary to the F-VEPs of control group at rest. We thus suggest that Zen meditation results in acute response on primary visual cortex and the associated parts.

일반 성인의 작업과 활동의 중재 형태에 대한 행위 관찰 시 거울신경세포 시스템의 EEG 활성도 차이 (Differences of EEG Activation in Mirror Neuron System during Action Observation for Occupation-based, Purposeful Activity, Preparatory Method in adult subjects)

  • 고효은;윤태원;정현애
    • PNF and Movement
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    • 제13권1호
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    • pp.17-23
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    • 2015
  • Purpose: This study aims to identify changes in the mirror neuron system in normal people through mu rhythm during action observation of occupation-based intervention, purposeful activity and prepare a method of intervention form of occupation using occupation and activity. Methods: TThis study aims to identify changes in the mirror neuron system in normal people through mu rhythm during action observation of occupation-based intervention, purposeful activity and prepare a method of intervention form of occupation using occupation and activity. The activation of the mirror neuron system was compaired among 3 condition by oneway ANOVA. Results: The result of analysis showed mu suppression in all conditions. Although all conditions showed mu suppression, there was no significant difference among the conditions. Conclusion: The results suggest that the mirror neuron system is activated during action observation to be able to occupational therapy but the mirror neuron system is not separately activated among the conditions.

A Portable Wireless EEG System for Neurofeedback: Design and Implementation

  • Chen, Hai-Feng;Ye, Dong-Hee;Kang, Young-Ho;Lee, Jung-Tae
    • 대한의용생체공학회:의공학회지
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    • 제28권4호
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    • pp.461-470
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    • 2007
  • Human can learn how to shape their brain electrical activity in a desired direction through continuous feedback of the electroencephalogram (EEG), and this technique is known as Neurofeedback (or EEG biofeedback), which has been used since the late 1960s in clinical applications. In this study, a portable wireless EEG (named wEEG) has been designed and implemented, which consists of a mobile station (a wireless two-channel EEG acquisition device) and a base station (a bridge between mobile station and computer). Moreover, a SensoriMotor Rhythm (SMR) training system was also implemented with the wEEG for enhancing attention with virtual environment. Experiment results based on 16 volunteers' (8 females and 8 males, average age is $27{\pm}4$) were reported in this paper. The results show that the SMR ratio of 87.5% subjects increased about 0.7% in training status than that in the stable status. With the proposed system, many training protocol scan be designed easily and can be done at home in our daily life conveniently. Additionally, the proposed system will be useful for disabled and aged people.

Automatic scoring system of EEG and quantitative evaluation of its visual interpretation

  • Nakamura, Masatoshi;Shibasaki, Hiroshi;Nishida, Shigeto
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.967-971
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    • 1989
  • A new system for automatic scoring of 'organization' of the EEG dominant rhythm was constructed and applied to 18 normal subjects and 15 patients. Organization parameters which best represented the 'organization' as judged by 5 neurologists' visual inspection were calculated and the automatic organization scoring was obtained by a linear regression of those organization parameters. Furthermore, values of the regression coefficients were used to study the characteristics of EEG interpretation by each neurologist, and this scoring technique can also be applied to the training of EEG interpretation.

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Big 5 성격특성과 뇌기능 분석지수(BQ)의 자기조절지수 (Self Regulation Quotient)와의 상관관계 연구 (A Study of Correlation between Big 5 Personality Traits and SRQ of Brain Quotient)

  • 임기용;박희래;최남숙;박병운
    • 한국산학기술학회논문지
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    • 제16권6호
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    • pp.3760-3768
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    • 2015
  • 본 연구는 인성과 뇌파의 상관관계를 알아보고자 하는 것이 목적이다. 연구의 대상자로는 기업체에 근무하는 팀장급 40명을 대상으로 인성검사와 뇌파측정을 동시에 진행하고 결과에 대한 상관관계를 분석하였다. 인성검사는 Big 5 검사지를 이용하였고, 뇌파검사는 2-Channel System 뇌파측정기를 이용하여 Fp1과 Fp2에서 측정하였다. 연구결과는 Big 5의 수용성은 BQ의 자기조절지수중 휴식상태 즉, 알파파의 활성화 정도와 정적 상관관계가 있고, 개방성은 자기조절지수중 집중상태 즉, 저베타파와 부적 상관관계가 있다는 것을 알 수 있었다. 이는 사람의 인성이 대뇌피질의 활성화와 관련이 있으며 뇌파분석을 통해서도 알 수 있다는데 의미가 있다.

Characteristics of late-onset epilepsy and EEG findings in children with autism spectrum disorders

  • Lee, Ha-Neul;Kang, Hoon-Chul;Kim, Seung-Woo;Kim, Young-Key;Chung, Hee-Jung
    • Clinical and Experimental Pediatrics
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    • 제54권1호
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    • pp.22-28
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    • 2011
  • Purpose: To investigate the clinical characteristics of late-onset epilepsy combined with autism spectrum disorder (ASD), and the relationship between certain types of electroencephalography (EEG) abnormalities in ASD and associated neuropsychological problems. Methods: Thirty patients diagnosed with ASD in early childhood and later developed clinical seizures were reviewed retrospectively. First, the clinical characteristics, language and behavioral regression, and EEG findings of these late-onset epilepsy patients with ASD were investigated. The patients were then classified into 2 groups according to the severity of the EEG abnormalities in the background rhythm and paroxysmal discharges. In the severe group, EEG showed persistent asymmetry, slow and disorganized background rhythms, and continuous sharp and slow waves during slow sleep (CSWS). Results: Between the two groups, there was no statistically significant difference in mean age (P=0.259), age of epilepsy diagnosis (P=0.237), associated family history (P=0.074), and positive abnormal magnetic resonance image (MRI) findings (P=0.084). The severe EEG group tended to have more neuropsychological problems (P=0.074). The severe group statistically showed more electrographic seizures in EEG (P=0.000). Rett syndrome was correlated with more severe EEG abnormalities (P=0.002). Although formal cognitive function tests were not performed, the parents reported an improvement in neuropsychological function on the follow up checkup according to a parent's questionnaire. Conclusion: Although some ASD patients with late-onset epilepsy showed severe EEG abnormalities, including CSWS, they generally showed an improvement in EEG and clinical symptoms in the longterm follow up. In addition, severe EEG abnormalities tended to be related to the neuropsychological function.

Spatial Focalization of Zen-Meditation Brain Based on EEG

  • Liu, Chuan-Yi;Lo, Pei-Chen
    • 대한의용생체공학회:의공학회지
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    • 제29권1호
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    • pp.17-24
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    • 2008
  • The aim of this paper is to report our preliminary results of investigating the spatial focalization of Zen-meditation EEG (electroencephalograph) in alpha band (8-13 Hz). For comparison, the study involved two groups of subjects, practitioners (experimental group) and non-practitioners (control group). To extract EEG alpha rhythm, wavelet analysis was applied to multi-channel EEG signals. Normalized alpha-power vectors were then constructed from spatial distribution of alpha powers, that were classified by Fuzzy C-means based algorithm to explore various brain spatial characteristics during meditation (or, at rest). Optimal number of clusters was determined by correlation coefficients of the membership-value vectors of each cluster center. Our results show that, in the experimental group, the incidence of frontal alpha activity varied in accordance with the meditation stage. The results demonstrated three different spatiotemporal modules consisting with three distinctive meditation stages normally recognized by meditation practitioners. The frontal alpha activity in two groups decreased in different ways. Particularly, monotonic decline was observed in the control group, and the experimental group showed increasing results. The phenomenon might imply various mechanisms employed by meditation and relaxation in modulating parietal alpha.

EMD와 FFT를 이용한 동작 상상 EEG 분류 기법 (Motor Imagery EEG Classification Method using EMD and FFT)

  • 이다빛;이희재;이상국
    • 정보과학회 논문지
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    • 제41권12호
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    • pp.1050-1057
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    • 2014
  • 뇌전도 기반의 뇌-컴퓨터 인터페이스는 향후 손 또는 발과 같은 신체를 대체하거나 사용자의 편의성을 제고하는 등의 다양한 목적으로 여러 산업에서 사용이 될 수 있는 기술이다. 본 논문에서는 경험 모드 분해와 고속푸리에 변환을 통해 동작 상상 뇌전도 신호를 분해하고 특징을 추출하는 방법을 제안한다. 뇌전도 신호 분류 과정은 다음과 같이 3단계로 구성된다. 신호 분해에서는 경험모드분해를 이용하여 뇌전도 신호에 대한 내재모드함수를 생성한다. 특징 추출에서는 파워 스펙트럼 밀도를 이용하여 생성된 내재모드함수의 주파수 대역을 확인한 뒤, 뮤파 대역을 포함하고 있는 내재모드함수에 고속푸리에 변환을 적용하여 움직임 상상에 대한 특징을 추출한다. 특징 분류에서는 서포트 벡터 머신을 사용하여 동작 상상 뇌전도 신호에 대한 특징을 분류하고, 10-교차검증을 통해 분류기의 일반화 성능을 추정한다. 제안하는 방법은 다른 방법들과 비교하여 84.50%의 분류 정확도를 보여주었다.