• Title/Summary/Keyword: electroencephalography

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Monitoring of anesthetic depth with q-EEG (quantitative EEG) in TIVA (total intravenous anesthesia) and VIMA (volatile induction/maintenance anesthesia) (완전정맥마취와 휘발성유도/유지마취에서 정량적 뇌파를 이용한 마취심도의 감시)

  • Lee, Soo-Han;Noh, Gyu-Jeong;Chung, Byung-Hyun
    • Korean Journal of Veterinary Research
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    • v.46 no.1
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    • pp.47-55
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    • 2006
  • To evaluate method for monitoring anesthetic depth with quantitative electroencephalography (q-EEG), we recorded processed EEG (raw EEG) and pain score till 100 minutes in beagle dogs anesthetized for 60 minutes with propofol (n = 5, PRO group), isoflurane (n = 5, ISO group) and propofol-ketaminefentanyl (n = 5, PFK group). Raw EEG was converted into 95% spectral edge frequency (SEF) by fast Fourier transformation (FFT) method. We investigated anesthetic depth by comparing relationship (Pearson's correlation) between q-EEG (95% SEF) and pain score. Pearson's correlation coefficients are +0.2372 (p = 0.0494, PRO group), +0.79506 (p < 0.001, ISO group) and +0.49903 (p = 0.0039, PFK group).

Development of Health Management Solution based on EEG and ECG analysis (뇌파/맥파 신호 분석에 의한 건강관리 콘텐츠 개발)

  • Seo, Deck-Won;Shin, Dong-Il;Shin, Dong-Kyoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.853-855
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    • 2018
  • 현재 맥파(ECG; Electrocardiogram) 및 뇌파(EEG: electroencephalography)의 파형 분석기술은 다양하게 적용되고 있으니 이들을 종합적으로 활용한 개인용 건강서비스 개발은 아직 미비 한 상태이다. 본 논문에서는 측정대상자의 정신적 혹은 육체적 피로도를 나타내는 8가지의 지표로서 집중도, 전두엽 비대칭 정도, 좌우뇌 활성도 대칭 값, 알파파 및 베타파 훈련도 (이상은 뇌파 분석 결과), 스트레스 레벨, 심박 수, 자율신경균형도 (이상은 맥파 분석 결과)]를 개인에게 알려주는 생체정보기반 개인건강 관리 소프트웨어 시스템의 설계 및 개발 결과에 대하여 서술한다.

Machine Learning-Based EEG Classification for Assisting the Diagnosis of ADHD in Children (아동의 ADHD 진단 보조를 위한 기계 학습 기반의 뇌전도 분류)

  • Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.24 no.10
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    • pp.1336-1345
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    • 2021
  • Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders in children. The diagnosis of ADHD in children is based on the interviews and observation reports of parents or teachers who have stayed with them. Since this approach cannot avoid long observation time and the bias of observers, another approach based on Electroencephalography(EEG) is emerging. The goal of this study is to develop an assistive tool for diagnosing ADHD by EEG classification. This study explores the frequency bands of EEG and extracts the implied features in them by using the proposed CNN. The CNN architecture has three Convolution-MaxPooling blocks and two fully connected layers. As a result of the experiment, the 30-60 Hz gamma band showed dominant characteristics in identifying EEG, and when other frequency bands were added to the gamma band, the EEG classification performance was improved. They also show that the proposed CNN is effective in detecting ADHD in children.

Study on Listening Efforts Based on Heart Rate Variability (심박변이도 기반 청취 노력도 측정 연구)

  • Kim, Hyunkyu;Na, Youngmin;Woo, Jihwan
    • Journal of Biomedical Engineering Research
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    • v.40 no.3
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    • pp.75-80
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    • 2019
  • Listening effort represents the listener's attention, stress, required cognition resource, and mental exertion to understand a speech in various situations. Recently, it has been focused to evaluate an effectiveness of hearing aids and cochlear implant. The physiologic measures, such as heart rate, skin conductance, electroencephalography, and pupil dilation, have been used to objectively measure listening effort. In this study, we investigated the feasibility of temporal and spectral heart rate variabilities to measure listening effort to understand speech in the presence of background noise. The results showed that several heart rate variabilities significantly increased as increasing background noise level. Finally, the heart rate variability can be used as an objective tool to measure listening efforts.

Neural source localization using particle filter with optimal proportional set resampling

  • Veeramalla, Santhosh Kumar;Talari, V.K. Hanumantha Rao
    • ETRI Journal
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    • v.42 no.6
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    • pp.932-942
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    • 2020
  • To recover the neural activity from Magnetoencephalography (MEG) and Electroencephalography (EEG) measurements, we need to solve the inverse problem by utilizing the relation between dipole sources and the data generated by dipolar sources. In this study, we propose a new approach based on the implementation of a particle filter (PF) that uses minimum sampling variance resampling methodology to track the neural dipole sources of cerebral activity. We use this approach for the EEG data and demonstrate that it can naturally estimate the sources more precisely than the traditional systematic resampling scheme in PFs.

Sleep Characteristics in Infants (영아의 수면 특성)

  • Rhie, Seonkyeong
    • Sleep Medicine and Psychophysiology
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    • v.27 no.2
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    • pp.33-40
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    • 2020
  • An infant's sleep varies considerably from that of adults in terms of structure, amount, and breathing pattern. After birth, sleep becomes evenly distributed throughout the day and night. Nighttime sleep gradually increases with the maturation of circadian rhythm, and sleep is gradually consolidated. Electroencephalography characteristics change with age, from early and dominant active (REM) sleep in newborns to increasing NREM sleep. Similar to other elements of growth, the upper respiratory tract and ribcage gradually increase in size with age, and respiratory control also improves. With these changes, sleep patterns also change. At this time that various sleep disorders may appear. Improved understanding of age-dependent changes in infant sleep can help determine the etiology and facilitate diagnosis of infant sleep diseases.

Introduction of brain computer interface to neurologists

  • Kim, Do-Hyung;Yeom, Hong Gi;Kim, Minjung;Kim, Seung Hwan;Yang, Tae-Won;Kwon, Oh-Young;Kim, Young-Soo
    • Annals of Clinical Neurophysiology
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    • v.23 no.2
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    • pp.92-98
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    • 2021
  • A brain-computer interface (BCI) is a technology that acquires and analyzes electrical signals from the brain to control external devices. BCI technologies can generally be used to control a computer cursor, limb orthosis, or word processing. This technology can also be used as a neurological rehabilitation tool for people with poor motor control. We reviewed historical attempts and methods toward predicting arm movements using brain waves. In addition, representative studies of minimally invasive and noninvasive BCI were summarized.

Case report of cerebral creatine deficiency syndrome with novel mutation of SLC6A8 gene in a male child in Bangladesh

  • Rahman, Muhammad Mizanur;Fatema, Kanij
    • Journal of Genetic Medicine
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    • v.18 no.1
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    • pp.44-47
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    • 2021
  • Cerebral creatine deficiency syndrome (CCDS) is a disorder where a defect is present in transport of creatine in the brain. Creatine plays an essential role in the energy metabolism of the brain. This is a genetic disorder, autosomal recessive or X linked, characterized by intellectual disability, speech and language delay, epilepsy, hypotonia, etc. Until recently very few number of cases have been reported. Here we report a case of 1.5-year-old boy who had epilepsy (epileptic spasm and generalized tonic clonic seizure), intellectual disability, microcephaly, hypotonia and speech delay. His magnetic resonance imaging of brain showed cortical atrophy and electroencephalography showed burst suppression pattern. The diagnosis was confirmed by clinical exome sequencing which showed novel mutation of SLC6A8+ in exon 9, suggestive of X linked recessive CCDS. The patient was then treated with glycine, L-arginine and creatine monohydrate with multiple antiepileptic drugs.

Severe Temporal Hyper-Activated States Caused by Noise in Tinnitus and Hyperacusis with Normal Hearing

  • Bae, Eun Bit;Lee, Jun Ho
    • Korean Journal of Audiology
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    • v.23 no.3
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    • pp.160-166
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    • 2019
  • Lots of neuroimaging and animal studies have revealed that tinnitus and hyperacusis share the same patterns in the bottom up central auditory process. The aim was to identify the abnormal central patterns commonly observed in both tinnitus and hyperacusis in humans. We investigated two cases of normal hearing: a tinnitus patient and a hyperacusis patient. We compared the differences between the severe temporal hyper-activated state (STHS), with spikes, fast beta and gamma frequencies after noise exposure, and the mild temporal hyperactivated state (MTHS), in no sound exposed condition. The power of the gamma band in the two cases was increased in both auditory cortices compared to the other brain regions. Our results of human with normal hearing were the first to identify how tinnitus and hyperacusis caused by sound are abnormally active and how they maintain constant pathological states.

Severe Temporal Hyper-Activated States Caused by Noise in Tinnitus and Hyperacusis with Normal Hearing

  • Bae, Eun Bit;Lee, Jun Ho
    • Journal of Audiology & Otology
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    • v.23 no.3
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    • pp.160-166
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    • 2019
  • Lots of neuroimaging and animal studies have revealed that tinnitus and hyperacusis share the same patterns in the bottom up central auditory process. The aim was to identify the abnormal central patterns commonly observed in both tinnitus and hyperacusis in humans. We investigated two cases of normal hearing: a tinnitus patient and a hyperacusis patient. We compared the differences between the severe temporal hyper-activated state (STHS), with spikes, fast beta and gamma frequencies after noise exposure, and the mild temporal hyperactivated state (MTHS), in no sound exposed condition. The power of the gamma band in the two cases was increased in both auditory cortices compared to the other brain regions. Our results of human with normal hearing were the first to identify how tinnitus and hyperacusis caused by sound are abnormally active and how they maintain constant pathological states.