Relevant bibliographies by topics / Brainwave Activity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Brainwave Activity'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Brainwave Activity"

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Shin, Yun-A., Sang-Min Hong, Seung-Ho Kim, and Byung-Kun Lee. "The Effect of Kendo’s Chudan-no-kamae and Three Striking Movements on Changes in Brainwaves Related to Concentration Index." Asian Journal of Kinesiology 23, no. 2 (2021): 34–44. http://dx.doi.org/10.15758/ajk.2021.23.2.34.

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OBJECTIVES This study was conducted to figure out the effects of kendo training on the activity of brainwaves by analyzing changes in brainwaves during chudan-no-kamae and three-movement-striking, which are basic movements of kendo, in elementary school students who undergo kendo training and comparing left and right side brainwave activities to find out differences.METHODS This study was conducted with 29 male elementary school students living in K City who were experts in kendo with a career as an athlete or a kendo training period not shorter than six months. The brainwave activity was meas
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González-González, Gabriela, Víctor Manuel Velasco Herrera, and Alicia Ortega-Aguilar. "Electroencephalographic Characterization by Covariance Analysis in Men with Parkinson’s Disease Reveals Sex- and Age-Related Differences." Applied Sciences 13, no. 17 (2023): 9618. http://dx.doi.org/10.3390/app13179618.

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Parkinson’s disease (PD) is the fastest growing neurological disease associated with ageing; its symptomatology varies between sexes. Several quantitative electroencephalography analyses have been used to study the early stages and progression of PD. In this study, we aim to characterize the brain activity by considering the five brainwaves in an eyes-closed resting state, using covariance wavelet analysis (CWA) of electroencephalographic records (EEGs) to analyze the influence of sex and age. To effectively eliminate artifacts from the EEG dataset and extract pertinent brain activity, we empl
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Pareniuk, Dmytro. "Method of evaluation of the minimal sample size for acoustical signal therapy monitored via electroencephalographic activity of human brain." ScienceRise, no. 2 (April 30, 2021): 75–82. https://doi.org/10.21303/2313-8416.2021.001736.

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The aim of the study. Improvement of the preparation to the acoustical signal therapy test or experiment of electroencephalographic activity of human brain and validation of the specified test results. The problem to be solved. Estimation of the minimal possible sample size for maintaining needed research accuracy in the research field of the electroencephalographic activity of human brain via monitoring of the brainwave patterns during exposure to the musical signal. Main scientific results. New method for selection minimal passable sample size for brainwave pattern studies is presented. Exam
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Nasaruddin, Nurul Hanim, Farah Dania Hipni, and Noraisah Arbadul. "Exploring Background Noise During Learning: A Neurofeedback Study." Journal of Cognitive Sciences and Human Development 9, no. 2 (2023): 229–42. http://dx.doi.org/10.33736/jcshd.5867.2023.

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Distinguishing effective background noise during learning is crucial for students. This study was conducted to determine the effective noise background during learning. Two healthy female subjects were recruited for this experiment. They were put in separate brainwave recording sessions for learning tasks without noise and with background noise. Their theta and alpha brainwave readings showed higher activity while learning with background noise. The finding indicated that both brainwaves represented insight and alertness were more dominant during active learning tasks than without noise. Howev
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Pareniuk, Dmytro. "Method of evaluation of the minimal sample size for acoustical signal therapy monitored via electroencephalographic activity of human brain." ScienceRise, no. 2 (April 30, 2021): 75–82. http://dx.doi.org/10.21303/2313-8416.2021.001736.

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The aim of the study. Improvement of the preparation to the acoustical signal therapy test or experiment of electroencephalographic activity of human brain and validation of the specified test results.
 The problem to be solved. Estimation of the minimal possible sample size for maintaining needed research accuracy in the research field of the electroencephalographic activity of human brain via monitoring of the brainwave patterns during exposure to the musical signal.
 Main scientific results. New method for selection minimal passable sample size for brainwave pattern studies is pre
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Sillevis, Rob, Tiffanny de Zayas, Anne Weller Hansen, and Halle Krisinski. "Do Audible Sounds during a Lumbar Spine Thrust Manipulation Have an Impact on Brainwave Activity?" Healthcare 12, no. 17 (2024): 1783. http://dx.doi.org/10.3390/healthcare12171783.

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Background: To manage pain and stiffness of the lumbar spine, thrust manipulation is commonly used. High-velocity, small-amplitude thrust manipulation often elicits audible sounds. What causes this audible sound remains unclear, and its clinical significance has not been shown. This study aimed to identify how audible sound affects brainwave activity following a side-lying right rotatory thrust manipulation in a group of healthy individuals. Methods: This was a quasi-experimental repeated measures study design in which 44 subjects completed the study protocol. A portable Bluetooth EEG device w
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Song, Shiyang, Chao Liang, and Xiong Zhang. "14‐1: Exploration of 40Hz Infrared Rhythmic Light Stimulation in Healthy Display Applications." SID Symposium Digest of Technical Papers 56, S1 (2025): 118–21. https://doi.org/10.1002/sdtp.18740.

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This paper presents an experiment investigating the effects of 40Hz and nearby infrared light frequencies on brainwave activity. The experiment first tests the impact of visible light with frequencies ranging from 38Hz to 42Hz on brain activity in both open‐eye and closed‐eye states, validating the effectiveness of the experimental system. Subsequently, infrared light experiments are conducted to further explore whether 40Hz and nearby infrared rhythmic light can induce brainwaves at corresponding frequencies in different states. The results demonstrate that infrared light at frequencies betwe
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Tamariska, Stirena R., Lucky Tsaih, and Martin Clinton T. Manullang. "Demonstration of colored noise on brainwave activity during reading tasks: An electroencephalogram study." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A102. http://dx.doi.org/10.1121/10.0022933.

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This study investigates the effects of different types of colored noise on brainwave activity during reading task, with a unique intent to use this research as a practical demonstration for the participant to learn about acoustics. Electroencephalogram (EEG) data from 29 participants were obtained and analyzed to assess brainwave activity across all channels when exposed to these colored noises. After brainwave recording process, participants were invited to view their recorded individual brainwave activities and topo mapping, so that they could learn the different colored noises might affecti
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Kim, Min-Kyung. "Brainwave and Emotional Responses Based on Application of Five Kinds of Eyeliners on Big and Small Eyes." Asian Journal of Beauty and Cosmetology 20, no. 3 (2022): 361–72. http://dx.doi.org/10.20402/ajbc.2022.0063.

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Purpose: This study aims to obtain scientific data for establishing female images based on results from an evaluation of brainwaves and emotions, after applying five different forms of eyeliners on big and small eyes.Methods: We comparatively analyzed coefficients of variations for the brainwaves and average preference indexes (API) of 60 males and females (age 21–29), after applying five different kinds of eyeliners on big and small eyes.Results: The brainwave responses in males and females were examined by applying five kinds of eyeliners to their big and small eyes. This showed that the act
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Hsu, Liwei, and Yen-Jung Chen. "An EEG Study on Students' Learning in Practical and Theory-Based Hospitality Courses." International Journal of Adult Education and Technology 12, no. 1 (2021): 40–60. http://dx.doi.org/10.4018/ijaet.2021010103.

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This study investigates neural activities of hospitality students when they are in practical and theoretical classes. This study involved 33 freshmen in a hospitality program, who underwent 420 minutes of brainwave data collection using an electroencephalographic (EEG) headset; 831,600 brainwave data points were gathered in seconds. The results show that participants' level of meditation was significantly higher than their level of attention in both classes. Among the five brainwaves, delta, theta, alpha, and beta waves (but not gamma waves) demonstrated significant differences in power spectr
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Dissertations / Theses on the topic "Brainwave Activity"

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López, Caballero Francisco José. "Evoked and induced activity in the auditory nervous system: deviance detection and brainwave entrainment." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/667512.

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The auditory system is a crucial element in our interaction with the environment, linked with several cognitive functions such as attention, memory and language. Further characterizing the neural mechanisms explaining auditory processing may help to understand better these connections, and ultimately improve our knowledge on numerous clinical conditions associated with abnormal auditory processes, including language impairment, schizophrenia or autism spectrum disorder. With the present thesis, we aimed to contribute to the characterization of two different mechanisms of brain function within
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Medeiros, Katty Anne Amador de Lucena. "Efeito do geraniol no comportamento e no padrão de ondas cerebrais de ratos." Universidade Federal de Sergipe, 2015. https://ri.ufs.br/handle/riufs/3983.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>natural molecules found in essential oils, Geraniol is one that has been extensively studied. The literature shows geraniol as an anti-inflammatory, chemo-preventive, antimicrobial, antioxidant, and neuro-protective agent. However, a lack of studies remains in covering the influence of this compound on the central nervous system. This study aimed to characterize the effect of geraniol in brainwave patterns, motor and anxiety-like behavior in Wistar rats. In the experiments, we used one hundred and eighty (180) male Wistar rats, all
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劉建蘭. "A Study of the Consumer Behavior of the Fear Stimulus-A Case of Assessing the Brainwave Activity of Fear Addicts." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/45026511761159803216.

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碩士<br>佛光大學<br>生命學研究所<br>100<br>Fear stimulus is a new treatment for psychological. It is important to create the commercial opportunity through the fear stimulus in the competitive market. How to stimulate the pursuing of the fear? First of all, we must understand the preference of the fear addicts. The society looks like well-structured, in fact, everywhere is full of depresses which hiding behind a huge fear of commercial value. Second, how to quickly attract the preferences of the fear addicts and realize what is the fear commodity conveying to the fear addicts. This study attempts to resea
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Books on the topic "Brainwave Activity"

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PABLIK, CHERYL. Brainwave Level 2 Language Activity Book. MAMILLAN, 2012.

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Schultheiss-Grassi, Paola. Iron biomineralization in organic tissue and the effects of weak DC magnetic field stimulation on human brainwave activity. 1998.

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Short, Charles E. Effects of Selective Alpha-2-Adreno-Receptor Agonists on Cardiovascular and Pulmonary Functions and Brainwave Activity in Horses and Dogs. Veterinary Practice Publishing Company, 1992.

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Kinnie, Ernest. PSYCHOLOGY ACTIVITY BOOK #2 Brainwash the Masses. Independently Published, 2021.

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Gage, Greg, and Tim Marzullo. How Your Brain Works. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/12429.001.0001.

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Discover the hidden electrical world inside your nervous system using DIY, hands-on experiments, for all ages. No MD or PhD required! The workings of the brain are mysterious: What are neural signals? What do they mean? How do our senses really sense? How does our brain control our movements? What happens when we meditate? Techniques to record signals from living brains were once thought to be the realm of advanced university labs... but not anymore! This book allows anyone to participate in the discovery of neuroscience through hands-on experiments that record the hidden electrical world bene
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PSYCHOLOGY #2 Brainwash the Masses: Don't Be an Easy Sucker or a Useful Idiot. an Activity Book. Independently Published, 2021.

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Littlefield, Evan. 5 Stages of Brainwaves : Learn to Create and Use Binaural Beats to Enhance All Aspects of Life: Understanding Activity in the Brain. Independently Published, 2021.

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Book chapters on the topic "Brainwave Activity"

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Ross, Valerie, Zunairah Haji Murat, Norlida Buniyamin, and Zaini Mohd-Zain. "Violinists Playing with and without Music Notation: Investigating Hemispheric Brainwave Activity." In Intelligent Systems for Science and Information. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04702-7_9.

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Komini, Asimina, Ioulia Kokka, Dimitrios Vlachakis, George P. Chrousos, Christina Kanaka-Gantenbein, and Flora Bacopoulou. "A Systematic Review on the Adult Alpha Brainwave Activity After Essential Oil Inhalation." In Advances in Experimental Medicine and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31986-0_53.

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Malhotra, Dr Varun. "EXPLORING THE FRONTIERS OF NEUROSCIENCE: NEUROMODULATION AND BRAIN ENTRAINMENT." In Futuristic Trends in Medical Sciences Volume 3 Book 4. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbms4p4ch2.

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This chapter delves into the evolving realms of neuromodulation and brainwave entrainment, exploring their fundamentals, practical applications, and potential impacts on human existence. Neuromodulation involves influencing neural activity through external stimuli, encompassing techniques like transcranial magnetic stimulation (TMS). Brain entrainment aligns brainwave frequencies with external stimuli, such as binaural beats and isochronic tones, to induce specific mental states. The discussion highlights applications of brainwave entrainment, including stress reduction, meditation facilitatio
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Parvathi, R., V. Pattabiraman, and Xiaohui Yuan. "Brain Wave Behaviours and Brain Stroke Prediction Using Deep Learning Techniques." In Advances in Medical Education, Research, and Ethics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-5464-3.ch007.

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The need for the research arises from the limitations of the traditional methods for measuring and assessing human emotions. Most conventional techniques rely on self-report measures, such as questionnaires, interviews, or behavioural observation, which are often subjective, time-consuming, and prone to biases. EEG signals provide a more objective and precise measure of human emotional responses, as they reflect the neural activity in specific brain regions associated with emotions. However, recent improvements in the field of EEG technology have made it more widely available and reasonably pr
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A. Markovics, Jen. "Training the Conductor of the Brainwave Symphony: In Search of a Common Mechanism of Action for All Methods of Neurofeedback." In Artificial Intelligence. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98343.

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There are several different methods of neurofeedback, most of which presume an operant conditioning model whereby the subject learns to control their brain activity in particular regions of the brain and/or at particular brainwave frequencies based on reinforcement. One method, however, called infra-low frequency [ILF] neurofeedback cannot be explained through this paradigm, yet it has profound effects on brain function. Like a conductor of a symphony, recent evidence demonstrates that the primary ILF (typically between 0.01–0.1 Hz), which correlates with the fluctuation of oxygenated and deox
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Wei, Xiaoxi. "Transfer Learning for Non-Invasive BCI EEG Brainwave Decoding." In Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.115124.

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Brain-computer interfaces (BCIs) represent a rapidly advancing domain that enables the interpretation of human cognitive states and intentions through brainwave analysis. This technology has demonstrated significant potential in augmenting the quality of life for individuals with conditions such as paralysis by decoding their neural patterns. Electroencephalograms (EEG) are the cornerstone of this progress, providing a non-invasive and secure means of capturing brain activity. The integration of machine learning, particularly deep learning techniques, has considerably enhanced the accuracy of
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Zafar Sherin. "Parallel Computing Contrive Optimized NFB Through QEEG &amp; LENS Approach." In Advances in Parallel Computing. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-814-3-453.

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Neuro-feedback (NFB) has been considered as the cognitive science to retrain brainwave patterns. The occurrence of various brain waves take place at different frequencies, some fast, some quite slow called as delta (0.5&amp;ndash;3.5 Hz very slow high amplitude experienced in deep restorative sleep), theta (4&amp;ndash;8 Hz represents daydream correlated with mental inefficiency a twilight zone between waking and sleep), alpha (8&amp;ndash;12 Hz, slower and larger correlated with a state of relaxation), beta (13&amp;ndash;30 Hz, fast brainwave correlated with intellectual activity) and gamma (
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J., Shanthalakshmi Revathy, Uma Maheswari N., and Sasikala S. "Enhanced BiLSTM Model for EEG Emotional Data Analysis." In Principles and Applications of Socio-Cognitive and Affective Computing. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3843-5.ch005.

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Emotion recognition based on biological signals from the brain necessitates sophisticated signal processing and feature extraction techniques. The major purpose of this research is to use the enhanced BiLSTM (E-BiLSTM) approach to improve the effectiveness of emotion identification utilizing brain signals. The approach detects brain activity that has distinct characteristics that vary from person to person. This experiment uses an emotional EEG dataset that is publicly available on Kaggle. The data was collected using an EEG headband with four sensors (AF7, AF8, TP9, TP10), and three possible
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Tarrant, Jeff. "Neuromeditation: The Science and Practice of Combining Neurofeedback and Meditation for Improved Mental Health." In Smart Biofeedback - Perspectives and Applications. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93781.

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Beginning meditators often complain that they do not know if they are “doing it right” or give up before realizing significant benefits. Advanced meditators often reach a plateau and struggle to reach “the next level” of their practice. Modern researchers and practitioners are finding a possible new solution to these challenges by using EEG biofeedback to increase awareness of subtle states of consciousness and speed the learning process. By tracking brainwave activity in specific regions of the brain, we can tell if someone is focused or relaxed. We can tell if the mind is wandering, if they
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Heraz Alicia, Jraidi Imène, Chaouachi Maher, and Frasson Claude. "Predicting Stress Level Variation from Learner Characteristics and Brainwaves." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-028-5-722.

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It is very common that students fail their exam because of an excessive stress. However, an attitude with no stress at all can cause the same thing as stress can be beneficial in some learning cases. Studying the stress level variation can then be very useful in a learning environment. In this paper, the aim is predicting the stress level variation of the learner in relation to his electrical brain activity within an experiment over two days. To attain that goal, three personal and non-personal characteristics were used: gender, usual mode of study and dominant activity between the first and s
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Conference papers on the topic "Brainwave Activity"

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Reşceanu, Ionut-Cristian, Ştefan-Irinel Cismaru, Florina-Luminiţa Petcu, Horaţiu Roibu, Andrei-Costin Trăşculescu, and Nicu-George Bîzdoacă. "Human-Machine Interaction with Brainwave Activity Input." In 2025 26th International Carpathian Control Conference (ICCC). IEEE, 2025. https://doi.org/10.1109/iccc65605.2025.11022821.

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Ashikawa, Yuto, Takashi Ito, Shohei Ishizu, and Yosuke Kurihara. "A method for classification NEO–FFI answers fabricated and advantageous due to psychological bias using brainwave specific brain activity networks." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10849091.

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Mathew, Marlene, Mert Cetinkaya, and Agnieszka Roginska. "BSoniq: A 3-D EEG Sound Installation." In The 23rd International Conference on Auditory Display. The International Community for Auditory Display, 2017. http://dx.doi.org/10.21785/icad2017.001.

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Brain Computer Interface (BCI) methods have received a lot of attention in the past several decades, owing to the exciting possibility of computer-aided communication with the outside world. Most BCIs allow users to control an external entity such as games, prosthetics, musical output etc. or are used for offline medical diagnosis processing. Most BCIs that provide neurofeedback, usually categorize the brainwaves into mental states for the user to interact with. Raw brainwave interaction by the user is not usually a feature that is readily available for a lot of popular BCIs. If there is, the
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Supoo, Pattiyaporn, and Phakkharawat Sittiprapaporn. "Brainwave Activity and Cognitive Performance Investigated by Meditation Yoga." In 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2019. http://dx.doi.org/10.1109/ecti-con47248.2019.8955411.

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Neilson, Brittany N., Jeffrey B. Phillips, Dallas H. Snider, Sabrina M. Drollinger, Steven E. Linnville, and Ryan S. Mayes. "A Data-Driven Approach to Aid in Understanding Brainwave Activity During Hypoxia." In 2020 IEEE Research and Applications of Photonics in Defense Conference (RAPID). IEEE, 2020. http://dx.doi.org/10.1109/rapid49481.2020.9195700.

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Rahman, K. A. A., B. S. K. K. Ibrahim, M. Mahadi A. Jamil, and Aizan Masdar. "Relationship between brainwave signal and human activity of knee joint movement for paraplegic." In 2013 6th Biomedical Engineering International Conference (BMEiCON). IEEE, 2013. http://dx.doi.org/10.1109/bmeicon.2013.6687709.

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"HOW DO EMOTIONAL STIMULI INFLUENCE THE LEARNER’S BRAIN ACTIVITY? - Tracking the Brainwave Frequency Bands Amplitudes." In 1st International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001558100140020.

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Nagara, Jajat Darajat Kusuma, Lucky Angkawidjaja, and Agus Gumilar. "Initial Detection of Students’ Anxiety in The Activity of College Orientation Through Brainwave Detector and Salivary Cortisol Hormome Examination." In 2nd International Conference on Sports Science, Health and Physical Education. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007072408680872.

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Rodrigues Leite, Amanda, Shayane Pereira Gonçalves, Anderson Pontes Morales, Bruna Carvalho Pelliciari, and Mauricio Rocha Calomeni. "Combined physical and cognitive exercises impact on the power of slow brainwaves of elderly with mild cognitive commitment (MCC)." In 7th International Congress on Scientific Knowledge. Biológicas & Saúde, 2021. http://dx.doi.org/10.25242/8868113820212388.

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Population aging is a global phenomenon, the passage from an aging state that is healthy to a process of loss of cognitive functions is mediated by the installation of a state of Mild Cognitive Commitment (MCC), which may or may not evolve into dementia. . In the early stages of dementia there is an increase in Theta activity and the more advanced stages there is an increase in Delta activity. The study verified the effect of the association of physical and cognitive stimuli on the power of Theta and Delta brain waves of elderly people with MCC. 18 elderly of both genders,aged over 60 years, d
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Bhat, Rohit, Akshay Deshpande, Rahul Rai, and Ehsan Tarkesh Esfahani. "BCI-Touch Based System: A Multimodal CAD Interface for Object Manipulation." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65648.

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The aim of this paper is to explore a new multimodal Computer Aided Design (CAD) platform based on brain-computer interfaces and touch based systems. The paper describes experiments and algorithms for manipulating geometrical objects in CAD systems using touch-based gestures and movement imagery detected though brain waves. Gestures associated with touch based systems are subjected to ambiguity since they are two dimensional in nature. Brain signals are considered here as the main source to resolve these ambiguities. The brainwaves are recorded in terms of electroencephalogram (EEG) signals. U
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Reports on the topic "Brainwave Activity"

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Dickhaut, Richard H. Neuroelectric Activity and Analysis in Support of Direct Brainwave to Computer Interface Development. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada350432.

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