• Title/Summary/Keyword: brain waves

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The Impact of Singing Bowl Healing on the Autonomic Nervous System and Brainwaves (싱잉볼 힐링이 자율신경계 반응과 뇌파에 미치는 영향)

  • Youn-Kyung Jun;Geo-Lyong Lee
    • Science of Emotion and Sensibility
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    • v.26 no.4
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    • pp.125-132
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    • 2023
  • This study investigated the effects of continuous Singing Bowl healing on brainwaves and autonomic nervous system responses. The variations in brainwaves were measured during 45-minute sessions in eight participants, before and after Singing Bowl healing sessions to assess the changes in brainwaves before and after five weeks of Singing Bowl healing treatment. BioBrain BIOS-S8 was used to obtain brainwave measurements. Electrodes were placed on six channels: F3, F4, T3, T4, P3, and P4. A standard limb lead I with electrodes was used for electrocardiogram (ECG) measurements. Using the collected brainwave data, changes in brain waves were observed before and after five weeks of Singing Bowl healing. Beta waves, alpha waves, and sensorimotor rhythm were found to have reduced, while theta waves, delta waves, and the standard deviation of normal-to-normal intervals in heart rate variability had increased. These results indicate that continuous Singing Bowl healing over five weeks can stabilize brainwaves, activate the autonomic nervous system, and increase the relaxation-inducing effects of the parasympathetic nervous system.

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Customized Realtime Control of Sleep Induction Sound based on Brain Wave Data (뇌파데이터에 기반한 맞춤형 수면유도음향의 실시간제어)

  • Wi, Hyeon Seung;Lee, Byung Mun
    • Journal of Korea Multimedia Society
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    • v.23 no.2
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    • pp.204-215
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    • 2020
  • People who have sleep disorders such as insomnia take a long time to get to sleep, namely sleep latency. In order to reduce it, effective stimulations and environments to induce sleep such as ASMR or pink noise are necessary. However these have different effects and preferences for each individual. Therefore customized service and control for the sleep induction will be provide to him/her. In this paper, we proposed SIS control system which provides selectively sound control among various kinds of ASMR and pink noise according to sleep state measured from brain wave data for an individual. In order to verify the effectiveness of the system, we had conducted totally 30 experiments for 5 people, and all EEG data measured from all the people during sleep. An average of 3.7 hours was spent per experiment. In comparison experiments with and without sound control for sleep induction, the latency time was reduced by an average of 8 minutes as well as delta waves and theta waves, which appear only in deep sleep, are increased by 21%.

Design and embodiment of bloodstream diagnosis device that introduce EPLD and TMS320VC5410 for cerebrum disease measurement in supersonic waves base (초음파 기반에서 대뇌질환 측정을 위한 EPLD와 TMS320VC5410를 도입한 혈류 진단장치의 설계 및 구현)

  • Kim, Whi-Young
    • Journal of the Korea Computer Industry Society
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    • v.7 no.4
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    • pp.447-454
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    • 2006
  • Imbecility, Parkinson's disease, the brain disease occurrence rate such as motor nerve disease are increasing rapidly since 1980 years, according to the Britain, the United States of America, Japan, Germany, result that investigate the spanish occurrence rate, was expose that imbecility mortality including Alzheimer's disease increased more than man case 3 triple and man and woman of brain disease mortality increases by about 50% with Parkinson's disease and motor nerve disease. <중략> first of all, courtesy call is important. So that can find out danger benevolence and occurrence danger at early stage, person arranged brain vein because examination does special Quality examination and modelling Tuesday embodying possible Cerebrovascular Ultrasonogram (brain vein supersonic waves) and prove excellency of performance from time to time. Is going to apply to brain disease patient of other disease if supplement system hereafter, and this research tried to study special quality that standardization is not producing poetic theme width directly and approach.

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Implementation of Educational Brain Motion Controller for Machine Learning Applications

  • Park, Myeong-Chul;Choi, Duk-Kyu;Kim, Tae-Sun
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.8
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    • pp.111-117
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    • 2020
  • Recently, with the high interest of machine learning, the need for educational controllers to interface with physical devices has increased. However, existing controllers are limited in terms of high cost and area of utilization for educational purposes. In this paper, motion control controllers using brain waves are proposed for the purpose of students' machine learning applications. The brain motion that occurs when imagining a specific action is measured and sampled, then the sample values were learned through Tensor Flow and the motion was recognized in contents such as games. Movement variation for motion recognition consists of directionality and jump motion. The identification of the recognition behavior is sent to a game produced by an Unreal Engine to operate the character in the game. In addition to brain waves, the implemented controller can be used in various fields depending on the input signal and can be used for educational purposes such as machine learning applications.

The Effect of Integrated Nursing using Cognicise and Neurofeedback (인지체조-뉴로피드백을 활용한 통합 간호의 효과)

  • Weon, Hee Wook;Heo, Gye Young;Kim, Jun Beom;Shin, Ji Eun;Lee, Won Woo;Son, Hae Kyoung
    • Korean Journal of Occupational Health Nursing
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    • v.29 no.2
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    • pp.114-122
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    • 2020
  • Purpose: This study aimed to identify the effect of integrated nursing using cognicise and neurofeedback on cognition and α waves among elderly individuals. Methods: This quasi-experimental single group pretest-posttest study included 29 Korean adults aged 65 years or older who participated at a senior welfare center in Y city from February to May 2019. Each integrated nursing session consisted of cognicise (10 minutes) and neurofeedback (20 minutes). Subjects participated twice a week for 10 weeks. Structured questionnaires to assess participants' general characteristics and the Korean version of the Mini-Mental Status Examination for Dementia Screening (K-MMSE-DS) were applied. Alpha waves were measured using BrainMaster. Results: Following the integrated nursing program, alpha waves improved in F3 (t=2.41, p=.023), C3 (t=3.00, p=.006), C4 (t=2.60, p=.015), P3 (t=2.43, p=.022), O1 (t=2.30, p=.029), T3 (t=3.05, p=.005), T4 (t=2.28, p=.030), T5 (t=2.91, p=.007), Fz (t=2.30, p=.029), Cz (t=2.73, p=.011), and Pz (t=2.23, p=.034). Most subjects experienced improvement in concentration after participating in the intervention. Conclusion: This study provides evidence for the use of a neuroscientific approach including brain wave measurement to improve cognitive health among community-living elderly people.

Statistical Analysis of Brain Activity by Musical Stimulation (음악적 자극에 의한 뇌 활성도의 통계적 해석)

  • Jung, Yu-Ra;Jang, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.89-94
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    • 2021
  • In this paper, we presented the results of analysis with data obtained through EEG measurements to confirm the effect of musical stimulus when performing mathematical tasks. While the subject was solving a mathematical task, favorite and unfavorite music classified according to the subject's preference were presented as musical stimulus and the tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into theta waves, SMR waves and mid-beta waves which are the frequency bands related to concentration to compare the relative power spectrum values. In our results, in the case of comparing no music with favorite music and no music with unfavorite music, a significant difference was observed in the several channels, and the average difference was shown in the channels F3 and F4 of the frontal lobe. In that channels, the power was found to be greater when the music was presented than the case where there was no music. Depending on the subject's preference, it was confirmed that favorite music showed greater brain activity than unfavorite music.

Effects of a Neurofeedback Program on Brain Function and Stress in High School Students (뉴로피드백 프로그램이 고등학생의 뇌기능과 스트레스에 미치는 영향)

  • Weon, Hee-Wook;Yi, Seon-Gyu;Kang, Hyung-Gon
    • Child Health Nursing Research
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    • v.14 no.3
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    • pp.315-324
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    • 2008
  • Purpose: This study was done to determine the effects of a neurofeedback program on brain function and stress in occupational high school students. Method: A nonequivalent control group, non-synchronized with pre-posttest design was used with 62 students. Data collection was done from July to December, 2007. The neurofeedback training was given for 30 minutes at a time, three times a week for 12 weeks. Brain function was measured by brain waves in the frontal lobes of the students and analyzed by eight brain quotients characterizing patterns of EEG rhythms. The instrument used to measure stress was a scale for stress from regular daily life. Results: After neurofeedback training, the level of brain quotients in students in the experiment group increased(t=2.36, p<.05) and the level of stress decreased(t=-3.59, p<.001). Conclusion: The results of the study suggested that a neurofeedback program is effective for brain function improvement and stress reduction in high school students. Therefore, the conclusion of this study is that neurofeedback programs can be useful to increase brain function and decrease stress in occupational high school students.

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Changes of the Prefrontal EEG(Electroencephalogram) Activities according to the Repetition of Audio-Visual Learning (시청각 학습의 반복 수행에 따른 전두부의 뇌파 활성도 변화)

  • Kim, Yong-Jin;Chang, Nam-Kee
    • Journal of The Korean Association For Science Education
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    • v.21 no.3
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    • pp.516-528
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    • 2001
  • In the educational study, the measure of EEG(brain waves) can be useful method to study the functioning state of brain during learning behaviour. This study investigated the changes of neuronal response according to four times repetition of audio-visual learning. EEG data at the prefrontal$(Fp_{1},Fp_{2})$ were obtained from twenty subjects at the 8th grade, and analysed quantitatively using FFT(fast Fourier transform) program. The results were as follows: 1) In the first audio-visual learning, the activities of $\beta_{2}(20-30Hz)$ and $\beta_{1}(14-19Hz)$ waves increased highly, but the activities of $\theta(4-7Hz)$ and $\alpha$ (8-13Hz) waves decreased compared with the base lines. 2). According to the repetitive audio-visual learning, the activities of $\beta_{2}$ and $\beta_{1}$ waves decreased gradually after the 1st repetitive learning. And, the activity of $\beta_{2}$ wave had the higher change than that of $\beta_{1}$ wave. 3). The activity of $\alpha$ wave decreased smoothly according to the repetitive audio-visual learning, and the activity of $\theta$ wave decreased radically after twice repetitive learning. 4). $\beta$ and $\theta$ waves together showed high activities in the 2nd audio-visual learning(once repetition), and the learning achievement increased highly after the 2nd learning. 5). The right prefrontal$(Fp_{2})$ showed higher activation than the left$(Fp_{1})$ in the first audio-visual learning. However, there were not significant differences between the right and the left prefrontal EEG activities in the repetitive audio-visual learning. Based on these findings, we can conclude that the habituation of neuronal response shows up in the repetitive audio-visual learning and brain hemisphericity can be changed by learning experiences. In addition, it is suggested once repetition of audio-visual learning be effective on the improvement of the learning achievement and on the activation of the brain function.

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Emotion recognition from brain waves using artificial immune system

  • Park, Kyoung ho;Sasaki Minoru
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.52.5-52
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    • 2002
  • In this paper, we develop analysis models for classification of temporal data from human subjects. The study focuses on the analysis of electroencephalogram (EEG) signals obtained during various emotional states. We demonstrate a generally applicable method of removing EOG and EMG artifacts from EEGs based on independent component analysis (ICA). All EEG channel maps were interpolated from 10 EEG subbands. ICA methods are based on the assumptions that the signals recorded on the scalp are mixtures of signals from independent cerebral and artifactual sources, that potentials arising from different parts of the brain, scalp and body are summed linearly at the electrodes and that prop...

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The Physiological Influence of Acoustic Information on Landscape Preference (청각정보가 경관의 선호도에 미치는 생리적 영향)

  • 서주환;성미성
    • Journal of the Korean Institute of Landscape Architecture
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    • v.31 no.4
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    • pp.49-56
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    • 2003
  • This study is to find physiological effects of acoustic information on landscape preference. Both the volume and the rate of $\alpha$-waves and $\beta$-waves were used to measure the effects in the study. The result of this study are summarized as follows: The outputting amount of $\alpha$-waves are sorted by different types of visual and acoustic factors. The results show that acoustic factors interacted with visual factors. That is, although visual factors are positive, the volume of $\alpha$-waves depends upon the character of acoustic factors; positive acoustic factors produce more $\alpha$-waves than negative or neutral(soundless) acoustic factors. Also the volume of $\alpha$-waves increase in the case of positive acoustic factors even if there is the same negative visual information. The results show that the volume of $\alpha$-waves increase without connecting with the types of visual factors. The volume of $\beta$-waves are largely reduced when visual stimulus is positive and soundless stimulus is provided. On the other hand, they generally increase when both visual and acoustic stimuli are negative, which fosters extremely unstable, tense and upset stress. The rate of $\alpha$-waves increase according to supplying positive acoustic factors in the opposed visual factors. The rate of wave(shouldn't be $\alpha$-waves\ulcorner) is high if both visual and acoustic factors are positive, so it is the most comfortable and causes no stress. Preference is the lowest if visual and acoustic factors are negative, but a -waves are conspicuously low in positive visual and negative acoustic factors.