• 제목/요약/키워드: EEG Signal

검색결과 364건 처리시간 0.025초

다채널 24비트 델타시그마 ADC 용 콤필터 설계 및 구현 (Design and implementation of comb filter for multi-channel, 24bit delta-sigma ADC)

  • 홍희동;박상봉
    • 문화기술의 융합
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    • 제6권3호
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    • pp.427-430
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    • 2020
  • IoT 분야와 의료 측정기기 분야에서 여러 개의 아날로그 입력 신호를 동시에 디지털 신호로 변환하는 기술 요구가 늘어나고 있다. 기존 단일 또는 2개의 체널 방식을 이용하여 여러 개의 아날로그 신호를 처리하는 방식에서는 하드웨어 크기와 전력소모 면에서 응용 제한을 받게 된다. 본 논문에서는 여러 개의 아날로그 입력을 동시에 받아서, 각각에 대한 24비트 디지털 신호를 출력하는 다채널 24비트 ADC 용 콤필터 설계 및 구현을 기술하였다. 제안된 콤필터의 기능은 매트랩 시뮬레이션과 FPGA 테스트 보드로 검증하였다. SK 하이닉스 0,35㎛ CMOS 표준 공정을 이용하여 칩으로 제작하였다. 미분기/적분기 사용 또는 FIR 구조의 기존 방식과 성능, 칩 면적을 비교하였다. 제안된 콤필터는 6개 이상의 다채널 아날로그 입력, 저 전력 소모, 작은 하드웨어 크기를 요구하는 IoT 제품과 의료 측정기기 활용이 예상된다.

SSVEP 기반 졸음 퇴치 도로시설물 개발 (Development of SSVEP-based drowsiness extermination road facility)

  • 한형섭;류장협;정의필
    • 융합신호처리학회논문지
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    • 제17권2호
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    • pp.77-82
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    • 2016
  • 운전자에게 각성뇌파를 생성할 수 있는 SSVEP기반의 졸음퇴치 도로시설물 시제품 개발을 위하여 실험을 통한 표준 인터페이스 모델의 개발 및 실험 검증 자료를 구축하는데 있다. 먼저 프로그램 시뮬레이션으로 SSVEP 자극 프로그램을 만들어서 체커 보드의 자극패턴을 만들었고 SSVEP의 주파수를 베타파 영역(13~30Hz) 내에 설정하였다. 고속도로 졸음취약지점에서 설치하여 운전중에 SSVEP 광자극에 대한 효과검증에 관한 실험 결과 주간과 야간 모두 고속도로 운전 중 SSVEP 광자극을 받으면 순간 베타파가 증가하는 것을 확인하였고, 5분 유지기 동안 보다 높은 각성상태를 유지하는 것으로 확인되었다.

생체신호 기반 사용자의 긍정적인 감정에 영향을 미치는 실내디자인 특성에 관한 문헌고찰 (A Systematic Review of the Attributes of Interior Design Affecting User's Positive Emotions Measured via Bio-Signals)

  • 김시은;하미경
    • 대한건축학회논문집:계획계
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    • 제36권5호
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    • pp.83-91
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    • 2020
  • Environmental conditions are known to impact human health and behavior, emotions such as pleasure, anxiety, and depression, and reduce stress. Interior design that elevates emotional comfort and satisfaction can help improve mental health and well-being. This study is a systematic review that analyzed previous empirical studies that explored the effect of interior design elements on the user's emotional response which is quantitatively evaluated by bio-signal and qualitatively evaluated through self-reported questionnaire surveys. This paper aims to derive the attributes of interior design and biometric indicators that affect the user's positive emotion through the synthesis of previous studies and to confirm the feasibility of measuring bio-signals as an objective evaluation tool for architectural design and as a quantitative research method. As a result of the review, the biometric data from EEG, fMRI, ECG, EMG, GSR, and eye-tracking were used to measure the participants' emotional responses, which were manifested as positive or negative depending on certain attributes of interior design such as the form, color, lighting, material and furniture. The attributes of interior design related to the positive emotional response were the curved shape, high ceiling, openness of space, and subdued tone colors. Standard lighting conditions and wooden spaces were related to stress reduction in terms of comfort and relaxation. The free arrangement of furniture was related to the user's positive emotions. On the other hand, consistent experimental protocols could not be found, and although the sample sizes of the studies were small, the studies have demonstrated the feasibility of the emotional response measurement by using the biometric data. Therefore this method can be a useful objective tool in the measurement of human-centric data in architectural design, and to develop the evidence-based design to induce positive emotions and minimize stress.

WALSH함수와 제어이론 (CONTROL THEORY OF WALSH FUNCTIONS-A SURVEY)

  • 안두수;이명규;이해기;이승
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.657-665
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    • 1991
  • Although orthogonal function is introduced in control theory in early 1970's, it is not perfect. Since the concept of integral operator by Chen and Hsiao in mid 1970's, orthogonal function (for example Walsh, Block-pulse, Haar, Laguerre, Legendre, Chebychev etc) has been widely applied In system's analysis and identification, model reduction, state estimation, optimal control, signal processing, image processing, EEG, and ECG etc. The reason why Walsh Functions introduces in control theory is that as integral of Walsh function is also developed in Walsh orthogonal function, if we transfer give system into integral equation and introduce Walsh function. We can know that system's characteristic by algebraical expression. This approach is based on least square error and that result is expressed as computer calculation and partly continuous constant value which is easy to apply. Such a Walsh function has been actively studied in USA, TAIWAN, INDO, CHINA, EUROPE etc and in domestic, author has studied it for 10 years since it was is introduced in 1982. This paper is consider the that author has studied for 10 years and Walsh function's efficiency.

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Challenges in neuro-machine interaction based active robotic rehabilitation of stroke patients

  • Song, Aiguo;Yang, Renhuan;Xu, Baoguo;Pan, Lizheng;Li, Huijun
    • Advances in robotics research
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    • 제1권2호
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    • pp.155-169
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    • 2014
  • Study results in the last decades show that amount and quality of physical exercises, then the active participation, and now the cognitive involvement of patient in rehabilitation training are known of crux to enhance recovery outcome of motor dysfunction patients after stroke. Rehabilitation robots mainly have been developing along this direction to satisfy requirements of recovery therapy, or focusing on one or more of the above three points. Therefore, neuro-machine interaction based active rehabilitation robot has been proposed for assisting paralyzed limb performing designed tasks, which utilizes motor related EEG, UCSDI (Ultrasound Current Source Density Imaging), EMG for rehabilitation robot control and feeds back the multi-sensory interaction information such as visual, auditory, force, haptic sensation to the patient simultaneously. This neuro-controlled and perceptual rehabilitation robot will bring great benefits to post-stroke patients. In order to develop such kind of robot, some key technologies such as noninvasive precise detection of neural signal and realistic sensation feedback need to be solved. There are still some grand challenges in solving the fundamental questions to develop and optimize such kind of neuro-machine interaction based active rehabilitation robot.

여름철 수면시 온열쾌적감 평가 - 제4보 : 쾌적수면을 위한 실내온도 설정에 관한 연구 - (Evaluation of Thermal Comfort during Sleeping in Summer - Part IV : Study on Indoor Temperature Conditions for Comfort Sleep -)

  • 금종수;김동규;박종일
    • 설비공학논문집
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    • 제19권4호
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    • pp.307-312
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    • 2007
  • This study was performed to evaluate sleep efficiencies and conditions for comfortable sleep based on the analysis of sleep efficiency and MST under four thermals conditions ($22^{\circ}C,\;24^{\circ}C,\;26^{\circ}C,\;30^{\circ}C$). Five female subjects who have similar life cycle and sleep patterns were participated for the sleep experiment. Their age was from 20 to 22 years old. They were healthy, and had regular sleep with consistent bed and wakeup time. It was checked whether they had a good sleep before the night of experiment. Experiments were performed in an environmental chamber using thermo-hygrostat. The physiological signal (EEG) for sleep stage were obtained from C3-A2 and C4-Al electrode sites. Sleep stages were classified, then SWS latency and SWS/TST were calculated for the evaluation for sleep efficiencies on thermal conditions. As results, mean skin temperature for comfort sleeping was $34.5{\sim}35.4^{\circ}C$. Considering sleep efficiency and mean skin temperature, indoor room temperature of upper limit was $28.1^{\circ}C$.

BCI 시스템의 성능 개선을 위한 병렬 모델 특징 추출 (Parallel Model Feature Extraction to Improve Performance of a BCI System)

  • ;박승민;심귀보
    • 제어로봇시스템학회논문지
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    • 제19권11호
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    • pp.1022-1028
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    • 2013
  • It is well knowns that based on the CSP (Common Spatial Pattern) algorithm, the linear projection of an EEG (Electroencephalography) signal can be made to spaces that optimize the discriminant between two patterns. Sharing disadvantages from linear time invariant systems, CSP suffers from the non-stationary nature of EEGs causing the performance of the classification in a BCI (Brain-Computer Interface) system to drop significantly when comparing the training data and test data. The author has suggested a simple idea based on the parallel model of CSP filters to improve the performance of BCI systems. The model was tested with a simple CSP algorithm (without any elaborate regularizing methods) and a perceptron learning algorithm as a classifier to determine the improvement of the system. The simulation showed that the parallel model could improve classification performance by over 10% compared to conventional CSP methods.

Physiological Signal Analyses of Frictional Sound by Structural Parameters of Warp Knitted Fabrics

  • Cho Gilsoo;Kim Chunjeong;Cho Jayoung;Ha Jiyoung
    • Fibers and Polymers
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    • 제6권1호
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    • pp.89-94
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    • 2005
  • The purpose of this study is to offer acoustical database of warp knitted fabrics by investigating frictional sound properties and physiological responses according to structural parameters such as construction, lap form, and direction of mutual guide bar movement. Fabric sounds of seven warp knitted fabrics are recorded, and Zwicker's psychoacoustic param­eters - loudness(Z), sharpness(Z), roughness(Z), and fluctuation strength(Z) - are calculated. Also, physiological responses evoked by frictional sounds of warp knitted fabrics are measured such as electroencephalogram (EEG), the ratio of high fre­quency to low frequency (HF/LF), respiration rate (RESP), skin conductance level (SCL), and photoplethysmograph (PPG). In case of constructions, frictional sound of sharkskin having higher loudness(Z) and fluctuation strength(Z) increases RESP. By lap form, open lap has louder and larger fluctuating sound than closed lap, but there aren't significant difference of physi­ological responses between open lap and closed lap. In direction of mutual guide bar movement, parallel direction evokes bigger changes of beta wave than counter direction because of its loud, rough, and fluctuating sound. Fluctuation strength(Z) and roughness(Z) are defined as important factors for predicting physiological responses in construction and mutual guide bar movement, respectively.

시인식에서 반사상의 영향에 관한 인간공학적 연구 (An Ergonomic Study on the Effects of Veiling Reflection in Visibility)

  • 박재민;임기용;이상도
    • 대한인간공학회지
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    • 제19권3호
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    • pp.13-21
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    • 2000
  • Men perceive and react around him through the five senses. Also men give rise to the human sensibility and maintain his emotion. This study doesn't limit working environment to VDT environment, but considers the universal working environment acquiring information by eyesight stimulation. In case of forming an abnormal veiling reflection we consider the form ; a vertical(25%, 50%, 75%)and a horizontal(25%, 50%, 75%). The results from the subjective evaluation are analyzed by SD(Semantic Differentical methodology)of 5 point scale for visibility and nuisance when an abnormal veiling reflection forms on target. In addition, the results of the objective evaluation are suggested by measuring and analyzing EEG of bio-signal for visual sensitivity. The results of this study can apply to basic data which create a guideline of a visual operation. In particular, it can be designed as an illumination environment concerning an ergonomic factor on visual operations, mental stress such as a visual inspection operation, visual information search operation, etc. As a result, we can expect to reduce the visual nuisance and contribute to the improvement of the performance and the uplift of the competitive power.

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쾌적수면을 위한 에어컨 알고리즘에 관한 실증연구 (Empirical Study of Air Conditioner Control Algorism for Comfort Sleeping)

  • 금종수;김동규
    • 설비공학논문집
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    • 제20권12호
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    • pp.808-813
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    • 2008
  • The study was to evaluate the air-conditioning of sleep algorithm. The algorithm was developed through the analysis of brain waves and MST, the experiments using air conditioner was performed in a apartment bedroom. Five female subjects were participated for the experiment. Eight hours of data collection a day was performed under different algorithm, case A, case B and case C. Physiological signals, EEG, ECG, EOG, and EMG, were obtained using polygraph and converted into digital signal. Then, subjects were asked to answer the questionnaire about their thermal sensation after experiment in bedroom. Sleep stages were classified, then TST, Sleep latency and Sleep efficiency were calculated for the three different air conditioner algorithm. As results, TST, Sleep efficiency, questionnaire showed the higher values for Case B algorism than that for other algorism. On the other hand, SWS latency was lower than for other conditions. Therefore, it was concluded that Case B of the algorithm was the best for comfortable and deep sleep.