• 제목/요약/키워드: the brain power

검색결과 301건 처리시간 0.029초

양백(GB14) 전침자극이 뇌파 변화에 미치는 영향 (Effect of Electroacupuncture at GB14 on Brain Activity)

  • 강태리
    • Korean Journal of Acupuncture
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    • 제36권4호
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    • pp.241-251
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    • 2019
  • Objectives : The purpose of this study was to examine the effects of electroacupuncture at GB14, on brain activity assessed on an electroencephalogram(EEG). Methods : (1) Thirty-four healthy participants were randomly divided into two groups, receiving either real acupuncture or non-penetrating sham acupuncture at GB14. (2) EEG measurements were conducted simultaneously before and after a 5-minute electroacupuncture stimulation, and the differences in the resulting EEG parameters were compared between the test and control groups. Results : (1) Absolute power increased significantly in the theta-wave channel of the occipital region and in the entire alpha-wave channel. (2) Relative power decreased significantly in the theta-wave channels of the frontal and occipital regions. (3) Coherence decreased significantly in the theta- and beta-wave channels of the parietal and occipital regions, and increased significantly in the alpha-wave channels of most areas. Conclusions : This study shows that electroacupuncture stimulation at GB14 activates the alpha frequency band in particular.

Automatic Gesture Recognition for Human-Machine Interaction: An Overview

  • Nataliia, Konkina
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.129-138
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    • 2022
  • With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed.

Real-Time Implementation of Brain Emotional Learning Developed for Digital Signal Processor-Based Interior Permanent Magnet Synchronous Motor Drive Systems

  • Sadeghi, Mohamad-Ali;Daryabeigi, Ehsan
    • Journal of Power Electronics
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    • 제14권1호
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    • pp.74-81
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    • 2014
  • In this study, a brain emotional learning-based intelligent controller (BELBIC) is developed for the speed control of an interior permanent magnet synchronous motor (IPMSM). A novel and simple model of the IPMSM drive structure is established with the intelligent control system, which controls motor speed accurately without the use of any conventional PI controllers and is independent of motor parameters. This study is conducted in both real time and simulation with a new control plant for a laboratory 3 ph, 3.8 Nm IPMSM digital signal processor (DSP)-based drive system. This DSP-based drive system is then compared with conventional BELBIC and an optimized conventional PI controller. Results show that the proposed method performs better than the other controllers and exhibits excellent control characteristics, such as fast response, simple implementation, and robustness with respect to disturbances and manufacturing imperfections.

인공지능 뉴로모픽 반도체 기술 동향 (Trend of AI Neuromorphic Semiconductor Technology)

  • 오광일;김성은;배영환;박경환;권영수
    • 전자통신동향분석
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    • 제35권3호
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    • pp.76-84
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    • 2020
  • Neuromorphic hardware refers to brain-inspired computers or components that model an artificial neural network comprising densely connected parallel neurons and synapses. The major element in the widespread deployment of neural networks in embedded devices are efficient architecture for neuromorphic hardware with regard to performance, power consumption, and chip area. Spiking neural networks (SiNNs) are brain-inspired in which the communication among neurons is modeled in the form of spikes. Owing to brainlike operating modes, SNNs can be power efficient. However, issues still exist with research and actual application of SNNs. In this issue, we focus on the technology development cases and market trends of two typical tracks, which are listed above, from the point of view of artificial intelligence neuromorphic circuits and subsequently describe their future development prospects.

Wavelet Power Spectrum Estimation for High-resolution Terahertz Time-domain Spectroscopy

  • Kim, Young-Chan;Jin, Kyung-Hwan;Ye, Jong-Chul;Ahn, Jae-Wook;Yee, Dae-Su
    • Journal of the Optical Society of Korea
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    • 제15권1호
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    • pp.103-108
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    • 2011
  • Recently reported asynchronous-optical-sampling terahertz (THz) time-domain spectroscopy enables high-resolution spectroscopy due to a long time-delay window. However, a long-lasting tail signal following the main pulse is often measured in a time-domain waveform, resulting in spectral fluctuation above a background noise level on a high-resolution THz amplitude spectrum. Here, we adopt the wavelet power spectrum estimation technique (WPSET) to effectively remove the spectral fluctuation without sacrificing spectral features. Effectiveness of the WPSET is verified by investigating a transmission spectrum of water vapor.

ON CARLEMAN'S INEQUALITY AND ITS IMPROVEMENT

  • Kim, Young-Ho
    • Journal of applied mathematics & informatics
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    • 제8권3호
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    • pp.1021-1026
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    • 2001
  • In this paper, we give an improvement of Carleman’s inequality by using the strict monotonicity of the power mean of n distinct positive numbers.

Effects of fragrance on brain activity

  • Lee, Koo-Hyoung;Kim, Dong-Yool;Jeong, So-Ra
    • 대한인간공학회지
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    • 제13권2호
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    • pp.43-48
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    • 1994
  • Among many kinds of odors, some are known to have effects of sedation or stimulation on brain activity. In this study, brain activity levels affected by four kinds of fragrance0lemon, lavender, jasmine, and rose-were tested using EEG recording. In the first experiment, the quality of alpha wave was examined under controlled rest condition. In the second experiment, the event-related potential (ERP) and contingent negative variation (CNV) were investigated during a simple reaction tasks (SRT) against auditory signal. EEG data obtained for the rest condition were analyzed suing "3-Dimensional Viewer)" which was developed by ourselves to show the chaotic attractor of the signal. Power spectrum were also calculated using FET. EEG data obtained during the SRT were analyzed by comparing CNV amplitudes about each odor condition. Results confirmed the sedative effect of the lemon and the lavender, and the stimulative effect of the jasmine and the rose.

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공포반응실험을 통한 [F-18]FDG 소동물 양전자단층촬영 기능뇌영상 평가 (The evaluation of [F-18]FDG small animal PET as a functional neuroimaging technique with fear response experiment)

  • 장동표
    • 대한의용생체공학회:의공학회지
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    • 제32권1호
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    • pp.74-78
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    • 2011
  • Although recent studies have shown the usibility of [F-18]FDG small animal Positron Emission Tommography (PET) as a functional neuroimaging technique in behavioural small animal study, researches showing the detection power of functional changes in the brain are still limited. Thus, in the study, we performed [F-18]FDG small animal PET neuroimaging in the well-established fear behavioural experiment. Twelve rats were exposed on cat for 30 minutes after the [F-18]FDG injection. As a result, the brain activity in bilateral amygdala areas significantly increased in the fear condition. In addition, the fear condition evoked the functional activities of hypothalamus, which seemed to be related to the response to stress. These clear localization of fear related brain regions may reflect that a functional neuroimaging technique using [F-18]FDG small animal PET has functional detectibility enough to be applied in small animal behavioral research.

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

  • Bae, Eun Bit;Lee, Jun Ho
    • 대한청각학회지
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    • 제23권3호
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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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    • 제23권3호
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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.