Mobile EEG systems for alpha neurofeedback and anxiety control


mobile EEG system
non-contact sensors
alpha band

How to Cite

Sultanov MB, Ismayilova KY. Mobile EEG systems for alpha neurofeedback and anxiety control. Azerbaijan Journal of Physiology. 2023;38(1):25-32. doi:10.59883/ajp.55


The present research is devoted to the study of the relationship between the oscillations of the electroencephalography (EEG) bands and the level of anxiety among sixteen youth athletes aged 17–21 using a mobile EEG system. The study explores the oscillations of brain waves in eyes-open and eyes-closed conditions at rest. The EEG was recorded using a wireless EEG Headset System with dry non-contact EEG sensor electrodes designed by NeuroSky, a ThinkGear module, and a MindCap XL headband. The results of the study demonstrated statistically significant differences between eyes-open vs. eyes-closed conditions in the alpha band in the prefrontal cortex (p≤0.006). While the correlation between the alpha band and the state of anxiety in the prefrontal cortex demonstrated a statistically significant linear relationship with the negative slope in the eyes-closed condition (p≤0.029). The data derived from single-channel wireless system equipment demonstrated results that are close to those recorded by conventional lab-based equipment. The different nature of the interrelation between the EEG alpha band oscillations in the prefrontal cortex, depending on the position of the eyes and the level of anxiety of youth athletes, can reflect its relationship to the "inner" world of the individual and is a plausible neurobiological index of anxiety. These findings encourage the application of the portable EEG system for the research of brain functions. Even more, that device may be used for alpha neurofeedback for anxiety in closed-eye conditions.


Bachmann M, Lass J, Hinrikus H. Single channel EEG analysis for detection of depression. Biomedical Signal Processing and Control. 2017 Jan 1;31:391-7.

Bachmann M, Päeske L, Kalev K, Aarma K, Lehtmets A, Ööpik P, Lass J, Hinrikus H. Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis. Computer methods and programs in biomedicine. 2018 Mar 1;155:11-7.

Baron‐Cohen S, Ring HA, Wheelwright S, Bullmore ET, Brammer MJ, Simmons A, Williams SC. Social intelligence in the normal and autistic brain: an fMRI study. European journal of neuroscience. 1999 Jun;11(6):1891-8.

Birbaumer N, Murguialday AR, Weber C, Montoya P. Neurofeedback and brain–computer interface: clinical applications. International review of neurobiology. 2009 Jan 1;86:107-17.

Bos DO. EEG-based emotion recognition. The influence of visual and auditory stimuli. 2006 Mar;56(3):1-7.

Coan JA, & Allen JJ. Frontal EEG asymmetry and the behavioral activation and inhibition systems. Psychophysiology. 2003;40(1):106-114.

Cole C, Zapp DJ, Nelson SK, & Pérez-Edgar K. Speech presentation cues moderate frontal EEG asymmetry in socially withdrawn young adults. Brain and cognition. 2012;78(2):156-62.

Enoch MA, Rohrbaugh JW, Davis EZ, Harris CR, Ellingson RJ, Andreason P, & Goldman D. Relationship of genetically transmitted alpha EEG traits to anxiety disorders and alcoholism. American journal of medical genetics. 1995;60(5):400-8.

Fernández-Blázquez MA, Ávila-Villanueva M, López-Pina JA, Zea-Sevilla MA, & Frades-Payo B. Psychometric properties of a new short version of the State-Trait Anxiety Inventory (STAI) for the assessment of anxiety in the elderly. Neurología (English Edition). 2015;30(6):352-8.

Fong SSM, Tsang WWN, Cheng YTY, Ki WY, Ma AWW and Macfarlane DJ. Single-channel Electroencephalographic Recording in Children with Developmental Coordination Disorder: Validity and Influence of Eye Blink Artifacts. J Nov Physiother. 2015;5:270.

Gruzelier JH. EEG-neurofeedback for optimising performance. III: a review of methodological and theoretical considerations. Neuroscience & Biobehavioral Reviews. 2014;44:159-182.

Harris, H. L., & Coy, D. R. Helping Students Cope with Test Anxiety. ERIC Digest. 2003 Sep :1-4.

Haynes JD, Rees G. Decoding mental states from brain activity in humans. Nat Rev Neurosci. 2006 Jul;7(7):523-34.

Hwang HJ, Kwon K, Im CH. Neurofeedback-based motor imagery training for brain-computer interface (BCI). J Neurosci Methods. 2009 Apr 30;179(1):150-6.

Ismailova K, Sultanov M, & Kazimov A. Relationship between electroencephalographic oscillations and competitive anxiety in male youth soccer players. African Journal for Physical Activity and Health Sciences. 2023;29(2):193-203.

Johnstone SJ, Roodenrys SJ, Johnson K, Bonfield R, Bennett SJ. Game-based combined cognitive and neurofeedback training using Focus Pocus reduces symptom severity in children with diagnosed AD/HD and subclinical AD/HD. Int J Psychophysiol. 2017 Jun;116:32-44.

Kamini KP, & Sathishkumar P. OPC Based Remote Patient Monitoring System with Android HMI. International Journal of Research in Engineering & Advanced Technology. 2016;4(1):102-5.

Klem GH, LuÈders HO, Jasper HH, & Elger C. The ten-twenty electrode system of the International Federation. Electroencephalogr Clin Neurophysiol. 1999;52(3):3-6.

Knyazev GG, Savostyanov AN, & Levin EA. Alpha oscillations as a correlate of trait anxiety. International Journal of Psychophysiology. 2004;53(2):147-160.

Lavallee D, Kremer J, Moran A, Williams M. Sport Psychology: Contemporary Themes. London: Palgrave Macmillan. 2012. 350 p.

Loudin JD, Simanovskii DM, Vijayraghavan K, Sramek CK, Butterwick AF, Huie P, ... & Palanker DV. Optoelectronic retinal prosthesis: system design and performance. Journal of Neural Engineering. 2007;4(1):S72.

Martens R, Vealey R, Burton D. Competitive Anxiety in Sport. Leeds: Human Kinetics. 1990.

Miranda RA, Casebeer WD, Hein AM, Judy JW, Krotkov EP, Laabs TL, ... & Weber DJ. DARPA-funded efforts in the development of novel brain–computer interface technologies. Journal of Neuroscience Methods. 2015;244:52-67.

Nicholson AA, Ros T, Frewen PA, Densmore M, Théberge J, Kluetsch RC, ... & Lanius RA. Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder. NeuroImage: Clinical, 2016;12:506-16.

Ramsay JR. Nonmedication treatments for adult ADHD: Evaluating impact on daily functioning and well-being. American Psychological Association. 2010; 236 p.

Robinson DL. The technical, neurological, and psychological significance of ‘alpha’, ‘delta’ and ‘theta’ waves confounded in EEG evoked potentials: a study of peak amplitudes. Personality and Individual Differences. 2000;28(4):673-93.

Sengupta K. Comparative Analysis of Real Life Driving vs. Simulator Driving. 2014.59p.

Shin J, Müller KR, & Hwang HJ. Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic. Scientific Reports. 2016;6,36203.

Sultanov M, & Ismailova K. EEG rhythms in prefrontal cortex as predictors of anxiety among youth soccer players. Translational Sports Medicine, 2019;2(4):203-208.

Vitasari P, Wahab MNA, Othman A, Herawan T, & Sinnadurai SK. The relationship between study anxiety and academic performance among engineering students. Procedia-Social and Behavioral Sciences. 2010;8:490-497.

Xu P, Huang R, Wang J, Van Dam NT, Xie T, Dong Z, ... & Fan J. Different topological organization of human brain functional networks with eyes open versus eyes closed. Neuroimage. 2014;90:246-255.

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