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Journal articles on the topic 'Brainwave Activity'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Sillevis, Rob, Fransisco Selva-Sarzo, Valerie Weiss, and Eleuterio A. Sanchez Romero. "Do Audible Sounds During a Metacarpophalangeal and Metatarsophalangeal Thrust Manipulation Have an Impact on Intra-Articular Joint Space and Brainwave Activity?" Healthcare 13, no. 5 (2025): 554. https://doi.org/10.3390/healthcare13050554.

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Background: Joint manipulation is commonly used to manage musculoskeletal dysfunctions. Joint manipulation can result in audible sounds. The clinical significance and cause of manipulation sound remain unclear. This study aimed to identify intra-articular distance following a metacarpophalangeal (MCP) II and metatarsophalangeal (MTP) II joint manipulation in healthy subjects. Additionally, the cortical response pattern was measured. Methods: Twenty-five subjects completed this quasi-experimental repeated-measures study protocol. Musculoskeletal ultrasound was used to measure intra-articular jo

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Azhari, Ahmad, and Leonel Hernandez. "Brainwaves feature classification by applying K-Means clustering using single-sensor EEG." International Journal of Advances in Intelligent Informatics 2, no. 3 (2016): 167. http://dx.doi.org/10.26555/ijain.v2i3.86.

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The use of brainwave signal is a step in the introduction of the individual identity using biometric technology based on characteristics of the body. Brainwave signal has unique characteristics and different on each individual because the brainwave cannot be read or copied by people so it is not possible to have a similarity of one person with another person. To be able to process the identification of individual characteristics, which obtained from the signal brainwave, required a pattern of brain activity that is prominent and constant. Cognitive activity testing using a single-sensor EEG (E

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Mohd Radi, Nur Afiqah, and Nurul Hanim Nasaruddin. "Brainwaves Activities during Resting State: A Neurofeedback Case Study." Journal of Cognitive Sciences and Human Development 8, no. 1 (2022): 100–111. http://dx.doi.org/10.33736/jcshd.4004.2022.

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Neurofeedback training (NFT) on a healthy participant was used to analyse brainwave activity during resting state. Electrodes were placed on the prefrontal cortex and at reference sites to conduct the experiment. The patient was asked to remain still and rest by sitting in a chair. The technology was then used to record the electrical waves emitted by brain activities. After ten cycles with a break interval, theta, alpha, and high beta brainwaves were discovered. There were statistically significant brainwaves in the prefrontal cortex. Remarkably, the ascending high beta oscillation range was

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Ketenci, Seniha, and Temel Kayikcioglu. "Investigation of Theta Rhythm Effect in Detection of Finger Movement." Journal of Experimental Neuroscience 13 (January 2019): 117906951982873. http://dx.doi.org/10.1177/1179069519828737.

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Movements cause changes in cortical rhythms emanating from the sensorimotor area. It is known that alpha and beta brainwaves take an important role of motor activity and motor imagery. Besides, theta rhythm is considered to carry substantial information about movement initiation and execution. In this study, effect of theta brainwave on movement detection was investigated in four-right handed participants who performed extensions with fingers of right hand using electroencephalography (EEG). Movement and rest epochs from continuous EEG record were extracted using muscle signals. Channels locat

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Whitman, Dalton, Rob Sillevis, and Matthew Frommelt. "The Effect of Audible Joint Manipulation Sounds in the Upper Cervical Spine on Brain Wave and Autonomic Nervous System Activity." Life 15, no. 1 (2025): 103. https://doi.org/10.3390/life15010103.

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Background: High-velocity, low-amplitude (HVLA) manipulation is a common manual therapy technique used for treating pain and musculoskeletal dysfunction. An audible manipulation sound is commonly experienced by patients who undergo HVLA manipulation; however, there is little known about the effects and clinical relevance of the audible manipulation sound on cortical output and the autonomic nervous system. This study aimed to identify the immediate impact of the audible manipulation sound on brainwave activity and pupil diameter in asymptomatic subjects following an HVLA cervical manipulation.

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Melnikov, M. E. "ACTIVATION REACTION ON THE ELECTROENCEPHALOGRAM IN SUBSTANCE DEPENDENT PATIENTS: LINKS TO ADDICTION STUDIES AND PSYCHOLOGICAL FACTORS AND CHANGES IN NEUROFEEDBACK TRAINING." Bulletin of Siberian Medicine 13, no. 4 (2014): 66–72. http://dx.doi.org/10.20538/1682-0363-2014-4-66-72.

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Depth of activation reaction (α-activity suppression during the eyes-opening task) is considered to be an important quantitative characteristic of α-band brainwaves. Activation reaction was assessed from O1 and O2 leads in 31 male substance dependent subjects. In 7 cases it was measured twice: before and after α- or β-brainwave biofeedback training. The correlations were found between grade of α suppression in eyes-opening task and attitude towards disease and treatment, personality maturity, and level of pathological personality traits. Activation reaction was significantly improved by α-trai

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Dragu, Marius-Alin, Irina-Emilia Nicolae, and Mădălin-Corneliu Frunzete. "Cryptographic Algorithm Designed by Extracting Brainwave Patterns." Mathematics 12, no. 13 (2024): 1971. http://dx.doi.org/10.3390/math12131971.

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A new authentication method based on EEG signal is proposed here. Biometric features such as fingerprint scanning, facial recognition, iris scanning, voice recognition, and even brainwave patterns can be used for authentication methods. Brainwave patterns, also known as brain biometrics, can be captured using technologies like electroencephalography (EEG) to authenticate a user based on their unique brain activity. This method is still in the research phase and is not yet commonly used for authentication purposes. Extracting EEG features for authentication typically involves signal processing

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Kim, Min-Kyung. "Brainwave and Emotional Responses of Male and Females to Munsell’s Five Primary Colors." Asian Journal of Beauty and Cosmetology 22, no. 3 (2024): 437–45. http://dx.doi.org/10.20402/ajbc.2024.0040.

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Purpose: The goal is to use quantified EEG and emotional responses to objectively assess the effects of color using gender-specific EEG data, as well as to analyze emotional responses concerning the psychological effects of color modulation. This study intends to apply these findings in various fields. Through this, we hope to better understand how color stimuli affect cognitive responses, brain activity, and emotional regulation.Methods: In this study, we evaluated the EEG and emotional responses to five basic color stimuli in male and females in their 20s. EEG analysis was performed using th

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Mabeta, Peace, Priyesh Bipath, Murray Louw, and Jannie Hugo. "Impact of gamification on brain activity and learner performance: an in class concurrent measurement." International Journal for Innovation Education and Research 8, no. 1 (2020): 135–40. http://dx.doi.org/10.31686/ijier.vol8.iss1.2131.

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The optimal application of gamified methods in the teaching of Physiology requires research, as evidence on its impact is rudimentary. The purpose of this study was to determine the effects of gamification on learner attitudes, student performance scores, and brainwave activity in a Physiology learning environment. A cohort of 14 students from the first year Bachelor of Clinical Medical Practice program were randomly assigned to the gamified (G) and non-gamified (N-G) groups. The G group participated in a gamified activity, while the N-G group participated in a didactic teaching setting. The s

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Hsu, Liwei, and Yen-jung Chen. "Music and wine tasting: an experimental neuromarketing study." British Food Journal 122, no. 8 (2019): 2725–37. http://dx.doi.org/10.1108/bfj-06-2019-0434.

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Purpose Music has a priming effect on product selection. The purpose of this paper is to extend the current understanding on this issue using an experimental design incorporating behavioural and brainwave data. Design/methodology/approach An experiment with 40 participants was conducted to explore how and why wine tasting preferences would be primed by different genres of musical stimuli. Electroencephalographic measurement was adopted to measure participant brainwave activity in two experiments, each involving two rounds of wine tasting, and the treatment was administered between the two roun

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Kopańska, Marta, Danuta Ochojska, Karolina Brydak, Paulina Bartman, and Małgorzata Wąsacz. "The importance of QEEG in diagnosing and evaluating the effectiveness of EEG biofeedback therapy in children with mild autism spectrum disorder, revealing attention deficit disorder." Acta Neuropsychologica 22, no. 4 (2024): 463–79. http://dx.doi.org/10.5604/01.3001.0054.7856.

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Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by complex and multifactorial causes, making it difficult to diagnose, especially during early childhood. Researchers continue to search for objective, easily identifiable markers to aid in diagnosing the disorder. Additionally, it is crucial to evaluate the effectiveness of alternative therapeutic methods that consider individual differences in ASD. One promising technique is Quantitative Electroencephalography (QEEG), which can be used to assess brainwave activity. Although early research indicates potential, furt

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Engchuan, Pipat, Karnt Wongsuphasawat, and Phakkharawat Sittiprapaporn. "Brain electrical activity during bench press weight training exercise." Asian Journal of Medical Sciences 10, no. 5 (2019): 80–85. http://dx.doi.org/10.3126/ajms.v10i5.21034.

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Background: Weight training is one type of exercises which some people interest. When the body has a physical exercise with enough intensity, it can produce a positive effect on brain function by changing amplitude of electroencephalographic activity. Aims and Objective: The purpose of this investigation was to examine a more comprehensive range of the electroencephalographic activity including delta, theta, alpha, beta, and gamma brainwaves during bench press weight training exercise. Materials and Methods: Electroencephalographic activities were recorded with nine participants by

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Lombardo, Claudio. "Bioneurofeedback and Bioimpedance: A New Paradigm for Nutritional Science in Long-Term Weight Management." Journal of Emergency Medicine: Open Access 2, no. 1 (2024): 01–04. https://doi.org/10.33140/jemoa.02.01.13.

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this article introduces a new paradigm in nutritional science for long-term weight management, based on the integration of bioneurofeedback and bioimpedance analysis. Bioneurofeedback, a technique that combines the monitoring of physiological parameters with the modulation of brain activity, is employed to improve the self-regulation of eating behaviors by adjusting brainwave activity and reducing stress. Bioimpedance analysis provides a precise evaluation of body composition, enabling the personalization of interventions according to individual physiological and metabolic characteristics. Thi

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González-González, Gabriela, Víctor M. Velasco-Herrera, and Alicia Ortega-Aguilar. "Use of Covariance Analysis in Electroencephalogram Reveals Abnormalities in Parkinson’s Disease." Applied Sciences 11, no. 20 (2021): 9633. http://dx.doi.org/10.3390/app11209633.

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Covariance analysis from wavelet data in electroencephalographic records (EEG) was, for the first time, applied in this study to unravel information contained in the standard EEG, which was previously not taken into consideration due to the mathematical models used. The methodology discussed here could be applied to any neurological condition, including the important early stages of neurodegenerative diseases. In this study, we analyzed EEG from control (CL) participants and participants with diagnosed Parkinson’s disease (PD), who were age-matched women in an eyes-closed resting state, to tes

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Drollinger, Sabrina, Steve Linnville, Jeff Phillips, Dallas Snider, and Lee W. Sciarini. "Efficacy of Dry Electroencephalography and Cognitive Assessment in Identifying Normobaric Hypoxia in Designated Aviators." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 59–62. http://dx.doi.org/10.1177/1071181319631218.

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The purpose of this study was to investigate the use of EEG and cognitive functioning assessments to identify hypoxia in naval aviators. Naval aviators were brought slowly to a 6,096 m exposure to induce normobaric hypoxia while completing a cognitive assessment and a simulated flight task. There were significant reductions in cognitive performance at 6,096 m when compared to sea level. There were no significant changes in EEG-recorded brainwave activity during the 6,096 m exposure compared to sea level. There were also no significant decrements in flight performance at 6,096 m. Additional res

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Kim, Min-Kyung. "Effect of Changes in the Area Ratio of Red/Blue Green Eyeshadow on Cognitive Processing in the Brain." Asian Journal of Beauty and Cosmetology 21, no. 3 (2023): 429–40. http://dx.doi.org/10.20402/ajbc.2023.0057.

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Purpose: To conduct electroencephalography (EEG) and visual evoked potentials (VEPs) measurements to establish quantitative data on brainwave responses to changes in eyeshadow color, specifically the area ratio of red (R) and blue green (BG) eyeshadows.Methods: A study was conducted on 60 males and females in their 20s using R, BG eyeshadow to determine brainwave responses via spontaneous EEG and VEPs while presenting stimuli with changes in area. The analysis focused on brainwave responses to changes in area.Results: The brainwave responses to color stimuli demonstrated the maximum activity i

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Dimas, Aditya. "Emotion Classification by EEG Signal Generated by Brain using Discrete Wavelet Transform and Artificial Neural Network Backpropagation with Classical Music Stimulus." International Journal of Engineering Technology and Natural Sciences 1, no. 2 (2019): 1–4. http://dx.doi.org/10.46923/ijets.v1i2.43.

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People feel different emotions when listening to music on certain levels. Such feelings occur because the music stimuli causing reduced or increased brain activity and producing brainwave with specific characteristics. Results of research indicated that classical piano music can influence one’s emotional intelligent. By using Electroenchephalography (EEG) as a brainwave recording instrument, we can assess the effect of stimulation on the emotions generated through brain activity. This study aimed at developing a method that defines the effect of sound to brain activity using an EEG signal that

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FITRI, LULU LUSIANTI, DANDRI ALY PURAWIJAYA, and SUPRIJANTO. "EFFECT OF BLUE LIGHT EXPOSURE TO BRAIN WAVE PHYSIOLOGY RELATED TO COGNITIVE AND MOTORIC FUNCTION DURING NIGHT DRIVING SIMULATION." Malaysian Applied Biology 49, no. 2 (2021): 69–74. http://dx.doi.org/10.55230/mabjournal.v49i2.1525.

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Safety issue and accident of land transportation needs to be concerned about. One of the main reasons of most driving accidents is drowsiness since it is associated with circadian rhythm, which is formed by blue light in solar day light. Studies reported that blue light controls circadian rhythm and prevent drowsiness. This research aims to assess the effect of artificial blue light exposure at night that is expected to prevent drowsiness and behavior changes related to night driving. Behavioral changes can be observed from cognitive response activities that are evaluated by physiologic change

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Zemla, Katarzyna, Grzegorz Sedek, Krzysztof Wróbel, Filip Postepski, and Grzegorz M. Wojcik. "Investigating the Impact of Guided Imagery on Stress, Brain Functions, and Attention: A Randomized Trial." Sensors 23, no. 13 (2023): 6210. http://dx.doi.org/10.3390/s23136210.

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The aim of this study was to investigate the potential impact of guided imagery (GI) on attentional control and cognitive performance and to explore the relationship between guided imagery, stress reduction, alpha brainwave activity, and attentional control using common cognitive performance tests. Executive function was assessed through the use of attentional control tests, including the anti-saccade, Stroop, and Go/No-go tasks. Participants underwent a guided imagery session while their brainwave activity was measured, followed by attentional control tests. The study’s outcomes provide fresh

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Lynch, Amy, Rebecca Compton, Caroline Frost, Tiffany Mikulis, and Danylo Shudrenko. "Using EEG to Explore Brain Wave Activity During Focused Interoception Awareness Experiments." American Journal of Occupational Therapy 79, Supplement_2 (2025): 7911500341p1. https://doi.org/10.5014/ajot.2025.79s2-po329.

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Abstract Date Presented 04/03/2025 This poster will discuss EEG (‘brainwave’) feasibility pilot data for participants who completed internally and externally focused activities. Findings suggest interoception awareness strategies as promising for OT intervention. Primary Author and Speaker: Amy Lynch Additional Authors and Speakers: Rebecca Compton, Caroline Frost, Tiffany Mikulis, Danylo Shudrenko

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Sumerjana, Ketut, I. Komang Sudirga, I. Kt Suteja, and I. Wayan Suharta. "POSITIVE EFFECTS OF BINAURAL MUSIC ON THE BRAIN." Proceeding Bali-Bhuwana Waskita: Global Art Creativity Conference 4 (January 2, 2025): 13–23. https://doi.org/10.31091/bbwp.v4i1.505.

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Binaural music, which is characterized by the presentation of two slightly different sound frequencies to each ear, has gained increasing attention owing to its potential positive effects on the brain. Research suggests that binaural beats can influence cognitive and emotional states by modulating brainwave activity. When the brain perceives the difference between the two frequencies, it generates a third "perceived" frequency, known as a binaural beat, which corresponds to specific brainwave states (delta, theta, alpha, beta, or gamma). These brainwave states are linked to various mental and

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Pal, Abhijeet, and Ammar Ul Haq. "Impact of Architectural Forms on Human PerceptionA Neurocognitive Experimentation." Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA 7, no. 1 (2024): 287–97. http://dx.doi.org/10.38027/iccaua2024in0343.

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The form or shape of the built environment is fundamental to architectural design, but not many studies have shownthe impact of different forms on the inhabitants’ consciousness. This study will investigate the neurological correlatesof different interior forms on the perceivers’ affective state and the accompanying brain activity. There exists ameasurable and predictable relationship between the effect of the architectural form of buildings on their users’ brainwave frequencies, and then their consciousness status. Leveraging Electroencephalography (EEG), we quantitativelycapture brainwave pa

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Ingendoh, Ruth Maria, Ella S. Posny, and Angela Heine. "Binaural beats to entrain the brain? A systematic review of the effects of binaural beat stimulation on brain oscillatory activity, and the implications for psychological research and intervention." PLOS ONE 18, no. 5 (2023): e0286023. http://dx.doi.org/10.1371/journal.pone.0286023.

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Binaural beats are an auditory phenomenon that occurs when two tones of different frequencies, which are presented separately to each ear, elicit the sensation of a third tone oscillating at the difference frequency of the two tones. Binaural beats can be perceived in the frequency range of about 1–30 Hz, a range that coincides with the main human EEG frequency bands. The brainwave entrainment hypothesis, which assumes that external stimulation at a certain frequency leads to the brain’s electrocortical activity oscillating at the same frequency, provides the basis for research on the effects

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Wang, Min, Shuxun Chi, Xingze Wang, and Tongling Wang. "Effects of Tai Chi on anxiety and theta oscillation power in college students during the COVID-19 pandemic: A randomized controlled trial." PLOS ONE 19, no. 11 (2024): e0312804. http://dx.doi.org/10.1371/journal.pone.0312804.

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Background College students, especially during the COVID-19 pandemic, face substantial psychological stress. This study investigates the impact of Tai Chi (TC) practice on anxiety levels and theta oscillatory power activation characteristics among college students, aiming to provide empirical evidence for their psychological well-being. Methods In this randomized controlled trial with 45 healthy college students, brainwave activity and changes in anxiety levels were measured. A 2 (TC group vs control group)×2 (pre-test vs post-test) factorial design was analyzed to explore TC’s regulatory effe

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Ma, Duo, He Liu, and Deyi Li. "Investigating the correlation between EEG brainwave patterns and English reading proficiency using biosensors." Molecular & Cellular Biomechanics 21, no. 4 (2024): 895. https://doi.org/10.62617/mcb895.

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Reading ability is a complex cognitive activity affected by various neural mechanisms. This research aims to examine the relationship between brain activity, as measured by non-invasive biosensors, specifically an electroencephalogram (EEG), and English reading ability. Specifically, the research investigates how different brainwave patterns (alpha, beta, and theta waves) relate to reading speed, comprehension, and accuracy across different levels of reading proficiency. Biosensors, in EEG devices, suggest a non-invasive means of monitoring brain functions in real-time, giving extensive vision

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Sillevis, Rob, Joshua Unum, Valerie Weiss, Eric Shamus, and Francisco Selva-Sarzo. "The effect of a spinal thrust manipulation’s audible pop on brain wave activity: a quasi-experimental repeated measure design." PeerJ 12 (June 28, 2024): e17622. http://dx.doi.org/10.7717/peerj.17622.

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Introduction High velocity thrust manipulation is commonly used when managing joint dysfunctions. Often, these thrust maneuvers will elicit an audible pop. It has been unclear what conclusively causes this audible sound and its clinical meaningfulness. This study sought to identify the effect of the audible pop on brainwave activity directly following a prone T7 thrust manipulation in asymptomatic/healthy subjects. Methods This was a quasi-experimental repeated measure study design in which 57 subjects completed the study protocol. Brain wave activity was measured with the Emotiv EPOC+, which

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Gautham, N. Guru, Kavitha Nair R, and Rinku Rathore. "Sound Therapy using Binaural Beats for Autism on EEG signals : A Review." Computer Science & Engineering: An International Journal 15, no. 1 (2025): 247–54. https://doi.org/10.5121/cseij.2025.15128.

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The last decade has seen a rise in diagnosis of neurodivergent disorders. Studies have shown that the global prevalence of Autism has risen to 1 in 100 individuals (up from 62 a decade ago). Binaural beats have shown promise in modulating brainwave activity and are being explored as a potential therapeutic intervention for various neurological conditions. This paper investigates the application of sound therapy using binaural beats to enhance cognitive and emotional responses in individuals with Autism Spectrum Disorder (ASD). Electroencephalogram (EEG) signals were collected across multiple p

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Zainuddin, Nurul Farha, Abdul Hafidz Omar, Izwyn Zulkapri, Mohd Najeb Jamaludin, and Mohd Syafiq Miswan. "Brainwave biomarkers of brain activity, physiology and biomechanics in cycling performance." Malaysian Journal of Fundamental and Applied Sciences 13, no. 4-2 (2017): 533–39. http://dx.doi.org/10.11113/mjfas.v13n4-2.840.

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Generally, in sports performance, the relationship between movement science and physiological function has been conducted integrating neuronal mechanism over the past decades. However, understanding those interaction between neural network and motor performance comprehensively in achieving optimal performance is still lacking, mainly in cycling. The purpose of this study was to discuss the issues in neuroscience related to brain activity, physiology and biomechanics in achieving optimal performance in cycling. As sports technology improves, more objective measurement can be demonstrated in sol

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Kučikienė, Domantė, and Rūta Praninskienė. "The impact of music on the bioelectrical oscillations of the brain." Acta medica Lituanica 25, no. 2 (2018): 101–6. http://dx.doi.org/10.6001/actamedica.v25i2.3763.

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In this article we conclude the main scientific studies into the changes in the bioelectrical brainwave activity that occur while listening to music. A brainwave spectral analysis, derived from findings of electroencephalograms, is a powerful tool to obtain deep and objective insights into the effects of music on the brain. This capacity is being investigated in various contexts. Starting with a healthy population, studies also seek to determine the impact of music in such conditions as disorders of consciousness, psychiatric diseases, and chronic conditions, as well as to further explore the

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Pratama, Destra Andika, Masayu Anisah, and Richi Agung Pratama. "Analysis of Brain Wave Activity Realtime Using NeuroSky Sensors With LabVIEW." PROtek : Jurnal Ilmiah Teknik Elektro 10, no. 3 (2023): 164–70. http://dx.doi.org/10.33387/protk.v10i3.6227.

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The brain is the part of the body that gives us the ability to live, react to all external stimuli, and coordinate our entire body. The human brain constantly generates electrical impulses. These electric currents are often referred to as brain waves. EEG (electroencephalography) is a bioelectrical measurement used in the biomedical field to study the human brain. Through this research, a sensor system will be developed that can detect brain waves non-invasively and transmit signals wirelessly via a Bluetooth connection. The detected EEG signal will be displayed in graphical form using signal

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Jovićević, Jasna. "Composing the Actual: Brainwave Sonification as Materialized Intensity of Virtual Relations." AM Journal of Art and Media Studies, no. 23 (October 15, 2020): 29–44. http://dx.doi.org/10.25038/am.v0i23.395.

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My recently performed experimental music performance I Sit and Worry About Her comprises a transdisciplinary research project that explores the function of large-scale cortical networks and application of EEG, monitoring the brainwaves in music making and perceiving. The project aims at understanding the activity of the brain and its electric impulses as an affect or intensity of virtual relations. There are several assemblages that relate rhizomatically in different dimensions inside an event; from minor gestures in the brain’s electric impulse continuum, its self-enjoyment and experience of

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Azhari, Ahmad, and Murein Miksa Mardhia. "Principal component analysis implementation for brainwave signal reduction based on cognitive activity." International Journal of Advances in Intelligent Informatics 3, no. 3 (2017): 125. http://dx.doi.org/10.26555/ijain.v3i3.118.

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Human has the ability to think that comes from the brain. Electrical signals generated by brain and represented in wave form. To record and measure the activity of brainwaves in the form of electrical potential required electroencephalogram (EEG). In this study a cognitive task is applied to trigger a specific human brain response arising from the cognitive aspect. Stimulation is given by using nine types of cognitive tasks including breath, color, face, finger, math, object, password thinking, singing, and sports. Principal component analysis (PCA) is implemented as a first step to reduce dat

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Azhari, Ahmad, Adhi Susanto, Andri Pranolo, and Yingchi Mao. "Neural Network Classification of Brainwave Alpha Signals in Cognitive Activities." Knowledge Engineering and Data Science 2, no. 2 (2019): 47. http://dx.doi.org/10.17977/um018v2i22019p47-57.

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The signal produced by human brain waves is one unique feature. Signals carry information and are represented in electrical signals generated from the brain in a typical waveform. Human brain wave activity will always be active even when sleeping. Brain waves will produce different characteristics in different individuals. Physical and behavioral characteristics can be identified from patterns of brain wave activity. This study aims to distinguish signals from each individual based on the characteristics of alpha signals from brain waves produced. Brain wave signals are generated by giving sev

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GomezRomero-Borquez, Jesus, Carolina Del-Valle-Soto, J. Alberto Del-Puerto-Flores, Ramon A. Briseño, and José Varela-Aldás. "Neurogaming in Virtual Reality: A Review of Video Game Genres and Cognitive Impact." Electronics 13, no. 9 (2024): 1683. http://dx.doi.org/10.3390/electronics13091683.

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This work marks a significant advancement in the field of cognitive science and gaming technology. It offers an in-depth analysis of the effects of various video game genres on brainwave patterns and concentration levels in virtual reality (VR) settings. The study is groundbreaking in its approach, employing electroencephalograms (EEGs) to explore the neural correlates of gaming, thus bridging the gap between technology, psychology, and neuroscience. This review enriches the dialogue on the potential of video games as a therapeutic tool in mental health. The study’s findings illuminate the cap

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Alif Haiqal Khairul Shah, Khairul Azlan A Rahman, Goh Thing Thing, Sin Jin Tan, Christian Ritz, and Norfaiza Fuad. "Investigation of Electroencephalographic (EEG) Brainwave Signal on Mental Stress through Psychomotor Activities." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 2 (2025): 245–58. https://doi.org/10.37934/araset.62.2.245258.

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Mental well-being plays a crucial aspect in human life alongside physical health. A positive mental health allows individuals to engage in healthy relationship, navigate challenges in a positive manner and enjoys a sense of fulfilment upon achieving goals. Conversely, when mental health is not well taken care of, it can impair one’s ability to function well in daily life, which subsequently leads to depression and anxiety disorder. Hence, early detection and intervention is necessary for individuals experiencing mental health challenges. The aim of this work is to study the recorded Electroenc

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Gui, Yuxuan, Yifei Hao, and Pengxu Zhu. "A Study on the Relationship Between Spiral Motion Illusions and Anxiety Levels: A Comprehensive Analysis of Neural Activity and Visual Stimuli." Applied and Computational Engineering 103, no. 1 (2024): 238–50. http://dx.doi.org/10.54254/2755-2721/103/20241148.

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Abstract. Spiral Motion Illusions (SMIs) are a fascinating phenomenon where static images create a compelling sense of motion, tricking the brain into perceiving movement where there is none. This study investigates the relationship between SMIs and anxiety levels, aiming to uncover how these visual illusions might influence emotional states. The experimental design involved exposing thirty-one participants to two distinct types of SMIsthe "rotating snakes" and "rotating ad-lib" imageswithin a controlled environment. Anxiety levels were assessed both before and after exposure using standardize

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Et.al, Norhaslinda Kamaruddin. "Eustress and Distress Analysis Based on Neuro-Physiological Model of Affect." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 1350–57. http://dx.doi.org/10.17762/turcomat.v12i3.906.

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Researchers have focused on the negative effects of stress while its benefits have been relatively ignored. There has been limited studies to quantitatively understand the positive impact of stress. Although most of the studies were carried out by psychologist, in general, stress can be characterized by negative valence from the perspective of the affective state model (ASM). In fact, most recent psychological findings show that positive stress, also known as eustress, can improve motivation factor of an individual. In this paper we propose the use of electroencephalography (EEG) device to cap

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Narudin, S. K., N. H. M. Nasir, and N. Fuad. "Brainwave Classification of Task Performed by Stroke Patients using ANN." Annals of Emerging Technologies in Computing 5, no. 5 (2021): 34–40. http://dx.doi.org/10.33166/aetic.2021.05.004.

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In this research, 14 stroke patient's brainwave activity with open eyes (OE) and close eyes (CE) sessions are used. This work aims to study and classify 2 activities that validate our data acquisition. The data set of each subject is used to classify the state of the subject during electroencephalogram (EEG) recording. For the classification model, the input signals are alpha, beta, theta, and delta bands. The classification algorithm used in this work is the Artificial Neural Network (ANN). The accuracy value will be obtained from each subject. There are substancial differences between the EE

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Lombardo, Claudio. "Neurophysiology of Female Brain Rhythms: Implications for Mental Health and Strategies Based on Bio-Neurofeedback and Nutrition." International Journal of Women’s Health Care 9, no. 3 (2024): 01–06. https://doi.org/10.33140/ijwhc.09.03.01.

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Brain activity is characterized by rhythmic oscillations that regulate key cognitive, emotional, and behavioral functions. These rhythms, categorized into delta, theta, alpha, beta, and gamma waves, represent a critical evolutionary mechanism for survival, allowing early humans to adapt to dangerous and unpredictable environments. However, in modern times, alterations in these rhythms, whether excessive or deficient, can lead to significant dysfunctions, particularly in women, where hormonal and neurobiological factors significantly influence brainwave production. This article explores the evo

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MacInerney, Erin K., Ronald J. Swatzyna, Alexandra J. Roark, Bianca C. Gonzalez, and Gerald P. Kozlowski. "Breakfast Choices Influence Brainwave Activity: Single Case Study of a 12-year-old Female." NeuroRegulation 4, no. 1 (2017): 56–62. http://dx.doi.org/10.15540/nr.4.1.56.

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