• 제목/요약/키워드: Electrooculography

검색결과 7건 처리시간 0.027초

Triggered Electrooculography for Identification of Oculomotor and Abducens Nerves during Skull Base Surgery

  • Jeong, Ha-Neul;Ahn, Sang-Il;Na, Minkyun;Yoo, Jihwan;Kim, Woohyun;Jung, In-Ho;Kang, Soobin;Kim, Seung Min;Shin, Ha Young;Chang, Jong Hee;Kim, Eui Hyun
    • Journal of Korean Neurosurgical Society
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    • 제64권2호
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    • pp.282-288
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    • 2021
  • Objective : Electrooculography (EOG) records eyeball movements as changes in the potential difference between the negatively charged retina and the positively charged cornea. We aimed to investigate whether reliable EOG waveforms can be evoked by electrical stimulation of the oculomotor and abducens nerves during skull base surgery. Methods : We retrospectively reviewed the records of 18 patients who had undergone a skull base tumor surgery using EOG (11 craniotomies and seven endonasal endoscopic surgeries). Stimulation was performed at 5 Hz with a stimulus duration of 200 μs and an intensity of 0.1-5 mA using a concentric bipolar probe. Recording electrodes were placed on the upper (active) and lower (reference) eyelids, and on the outer corners of both eyes; the active electrode was placed on the contralateral side. Results : Reproducibly triggered EOG waveforms were observed in all cases. Electrical stimulation of cranial nerves (CNs) III and VI elicited positive waveforms and negative waveforms, respectively, in the horizontal recording. The median latencies were 3.1 and 0.5 ms for craniotomies and endonasal endoscopic surgeries, respectively (p=0.007). Additionally, the median amplitudes were 33.7 and 46.4 μV for craniotomies and endonasal endoscopic surgeries, respectively (p=0.40). Conclusion : This study showed reliably triggered EOG waveforms with stimulation of CNs III and VI during skull base surgery. The latency was different according to the point of stimulation and thus predictable. As EOG is noninvasive and relatively easy to perform, it can be used to identify the ocular motor nerves during surgeries as an alternative of electromyography.

전신마비 환자를 위한 EOG 기반 디스플레이 상의 응시 좌표 산출 (Extraction or gaze point on display based on EOG for general paralysis patient)

  • 이동훈;유재환;김덕환
    • 재활복지공학회논문지
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    • 제5권1호
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    • pp.87-93
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    • 2011
  • 본 논문에서는 EOG(Electrooculography) 신호를 이용하여 디스플레이상 응시하는 좌표를 산출 하는 방법을 제안하였다. 선형적인 특성을 가지는 EOG 신호를 기반으로 하여, 디스플레이와 EOG 신호의 2차원 좌표계 사이에 존재하는 회전, 스케일링, 원점의 차이를 머리의 움직임 대신에 보정 작업으로 일치시켰다. 1680*1050 해상도를 가지는 모니터에서 출력한 원의 좌표와 이를 응시 할 때 발생되는 EOG 신호에 보정 방법을 적용하여 산출된 좌표와의 비교로 성능을 평가하였다. 실험 결과에서 x, y좌표는 평균적으로 각각 56픽셀(3%), 47픽셀(4%)의 오차를 보여주고 있다. 이 연구는 전신 마비 환자를 위한 포인팅 장치나 가상현실 게임과 같은 애플리케이션을 위한 HCI(Human Computer Interface)로 활용이 가능하다.

머신러닝 기반의 안전도 데이터 필터링 모델 (Electrooculography Filtering Model Based on Machine Learning)

  • 홍기현;이병문
    • 한국멀티미디어학회논문지
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    • 제24권2호
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    • pp.274-284
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    • 2021
  • Customized services to a sleep induction for better sleepcare are more effective because of different satisfaction levels to users. The EOG data measured at the frontal lobe when a person blinks his eyes can be used as biometric data because it has different values for each person. The accuracy of measurement is degraded by a noise source, such as toss and turn. Therefore, it is necessary to analyze the noisy data and remove them from normal EOG by filtering. There are low-pass filtering and high-pass filtering as filtering using a frequency band. However, since filtering within a frequency band range is also required for more effective performance, we propose a machine learning model for the filtering of EOG data in this paper as the second filtering method. In addition, optimal values of parameters such as the depth of the hidden layer, the number of nodes of the hidden layer, the activation function, and the dropout were found through experiments, to improve the performance of the machine learning filtering model, and the filtering performance of 95.7% was obtained. Eventually, it is expected that it can be used for effective user identification services by using filtering model for EOG data.

인간-기계 통신 인터페이스를 위한 안구운동 패턴 부호화 방식 (Eye-Movement Pattern Encoding Method for Man-Machine Communication Interface)

  • 이용천;박상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 하계종합학술대회 논문집
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    • pp.153-157
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    • 1989
  • In this paper, a new method of Eye Movement Pattern Encoding (EMPE) which is based on electrooculography(EOG) was suggested for the purpose of effective communication between man and machine, instead of Point-Of-Regard-Selection (PORS) method. Also, ocular interface is designed and the typing aid, eye-pattern writer, was constructed for the test of theoretical validity and its practical aspect. Effect of eye fatigue on the performance of ocular interface was quantified through fatigue test.

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RLSM을 이용한 안구운동의 저속도 측정방법에 대한 연구 (A Method for Slow Component Velocity Measurement of Nystagmus Eye Movements using RLSM)

  • 김규겸;고종선;박병림
    • 전력전자학회논문지
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    • 제7권6호
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    • pp.546-553
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    • 2002
  • 일상 생활에서 인간의 자세와 운동은 전정기관, 시각, 고유수용체에 의해 조절되어진다. 특히 전정기관은 정전안구반사를 통한 안구 운동과 전정척수반사를 통한 골격근의 수축 운동을 제어하는 매우 중요한 기능을 갖고 있다. 그러나 자세 조절기능의 손실로 인한 자세 부조화는 오심, 구토, 현기증을 초래하여 삶의 의욕을 상실케 만들고 안진이라 불리는 비정상적인 안구반사운동을 초래한다. 현기증 진단에 EOG를 이용한 안진의 분석이 필요하다. 본 연구의 목적은 데이터 처리를 위한 컴퓨터 시스템과 OKN 시뮬레이션 시스템에 의해 유발된 안진 서상속도의 자동평가 알고리즘을 개발하는데 있다. 본 논문에서는 RLSM을 이용하여 안진의 서상속도를 검출하는 새로운 알고리즘을 제안하였다. 이 방법은 눈 깜빡임과 같은 artifact에 둔감하여 안진의 빠르고 정확한 평가가 가능하다.

승마기구의 훈련속도가 정상성인의 안뜰기능과 정적자세 균형에 미치는 영향 (The Effect of Mechanical Horseback-Riding Training Velocity on Vestibular Functions and Static Postural Balance in Healthy Adults)

  • 임재헌;박장성;조운수
    • The Journal of Korean Physical Therapy
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    • 제25권5호
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    • pp.288-296
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    • 2013
  • Purpose: This study was conducted in order to determine whether mechanical horseback-riding training depending on velocity can improve vestibular function and static postural balance on standing in healthy adults. Methods: For evaluation of vestibular function, electrooculography (EOG) of vertical and horizontal was performed for identification of the motion of eyes. For evaluation of static postural balance, COP distance, time spent on the sharpened Romberg test with neck extension (SRNE) were measured. Measurements were performed three times before training, three weeks after training, and six weeks after training. Participants were randomly assigned to three groups: fast velocity-mechanical horse -riding training (FV-MHRT, n=12), moderate velocity-mechanical horse-riding training (MV-MHRT, n=12), and slow velocity-mechanical horse-riding training (SV-MHRT, n=12). Results: According to the result for vertical, horizontal EOG, there was significant interaction in each group in accordance with the experiment time (p<0.05). The FV-MHRT group showed a significant decrease compared with the MV- MHRT, SV-MHRT groups (p<0.05). According to the result for static postural balance, the time spent, COP distance in SRNE showed significant interaction in each group in accordance with the experiment time (p<0.05). The time spent on the SRNE showed a significant increas in FV-MHRT, SV-MHRT (p<0.05). The COP distance of SRNE showed a significant increase in MV-MHRT (p<0.05). Conclusion: The MHRT velocity activated mechanism of vestibular spinal reflex (VSR), vestibular ocular reflex (VOR), also helped to strengthen vestibular function and static postural balance. In addition, it should be applied to different velocity of MHRT according to the specific purpose.

맞춤형 수면케어 서비스를 위한 EOG 기반의 실시간 개인식별 알고리즘 (Realtime Individual Identification based on EOG Algorithm for Customized Sleep Care Service)

  • 홍기현;이병문;박양재
    • 융합정보논문지
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    • 제9권12호
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    • pp.8-16
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    • 2019
  • 사람마다 수면장애의 정도가 다르기 때문에 개인별로 각기 다른 맞춤형 수면케어 서비스가 필요하다. 뇌파 데이터는 사람마다 고유한 파형 특성을 보이기 때문에 이 특성을 이용하면 개인을 식별할 수 있다. 개인식별은 맞춤형 서비스를 가능하게 해주는 중요한 역할을 제공한다. 눈을 깜박일 때 전두엽 부위를 측정하면 뇌파특성을 획득할 수 있다. 따라서 본 논문에서는 맞춤형 수면케어 서비스를 위한 눈 깜빡임 EOG(Electrooculography) 기반의 실시간 개인식별 알고리즘을 제안한다. 평가를 위해 10명을 대상으로 개인식별 정확도 실험을 하였다. 실험결과 최대 93%의 정확도를 확인하였다. 향후 외부 환경 변화와 같은 특성을 반영하여 알고리즘을 발전시킬 수 있을 것이다.