The Contribution of EEG Headsets in the Development of Brain Capacity-Reference-Cited by-同舟云学术

The Contribution of EEG Headsets in the Development of Brain Capacity

Published:2023-09-01 Issue:1 Volume:23 Page:54-63
ISSN:2286-2455
Container-title:The Scientific Bulletin of Electrical Engineering Faculty
language:en
Short-container-title:

Author:

Pica A.Ș.¹,Olteanu Georgiana¹,Stoica A.A.¹

Affiliation:

1. Polytechnic University of Bucharest , Polytechnic University of Milan, Nicolae Titulescu University of Bucharest

Abstract

Abstract EEG headsets are a wearable electronic device used for electroencephalography, a monitoring and recording process of the electrical activity of the brain. The electrical signal of the brain is measured with the help of EEG sensors that have a precise accuracy and facilitate the graphic illustration of the characteristics of the brain’s activity, this technology promising for the future other significant benefits for the clever development of people’s health and lifestyle. This article provides an analysis of the advantages of electronic devices that use EEG sensors bring, how this technology works, and presents effective solutions for modernizing the brain.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.sciendo.com/pdf/10.2478/sbeef-2023-0010

Reference31 articles.

1. M. Rashid et al., “Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review,” Frontiers in Neurorobotics, vol. 14. Frontiers Media S.A., Jun. 03, 2020, doi: 10.3389/fnbot.2020.00025;

2. S. Natarajan, M. Karthikeyan, K. Rakesh, R. Balaji, and S. Babuk, “International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Brainwave-Controlled System for Home automation and Password Authentication;

3. C. Author, Z. Anwar, H. Yanti, N. Apriola Susanto, A. Rachma, and V. Damayanti, “Online Mindfulness-Based Cognitive Therapy: Interventions to Increase Resilience of the Covid-19 Patients Through Cyberpsichology Approach,” Rev. Iberoam. Psicol. del Ejerc. y el Deport., vol. 17, no. 3, p. 3, 2022;

4. X. Gu et al., “EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications,” Jan. 2020;

5. R. Raj, S. Deb, and P. Bhattacharya, “Brain Computer Interfaced Single Key Omni Directional Pointing and Command System: A Screen Pointing Interface for Differently-abled Person,” in Procedia Computer Science, 2018, vol. 133, pp. 161–168, DOI: 10.1016/j.procs.2018.07.020.