Application and Development of EEG Acquisition and Feedback Technology: A Review

Abstract

This review focuses on electroencephalogram (EEG) acquisition and feedback technology and its core elements, including the composition and principles of the acquisition devices, a wide range of applications, and commonly used EEG signal classification algorithms. First, we describe the construction of EEG acquisition and feedback devices encompassing EEG electrodes, signal processing, and control and feedback systems, which collaborate to measure faint EEG signals from the scalp, convert them into interpretable data, and accomplish practical applications using control feedback systems. Subsequently, we examine the diverse applications of EEG acquisition and feedback across various domains. In the medical field, EEG signals are employed for epilepsy diagnosis, brain injury monitoring, and sleep disorder research. EEG acquisition has revealed associations between brain functionality, cognition, and emotions, providing essential insights for psychologists and neuroscientists. Brain–computer interface technology utilizes EEG signals for human–computer interaction, driving innovation in the medical, engineering, and rehabilitation domains. Finally, we introduce commonly used EEG signal classification algorithms. These classification tasks can identify different cognitive states, emotional states, brain disorders, and brain–computer interface control and promote further development and application of EEG technology. In conclusion, EEG acquisition technology can deepen the understanding of EEG signals while simultaneously promoting developments across multiple domains, such as medicine, science, and engineering.

EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques

“…It ensures comprehensive cortical coverage, thereby enhancing the diagnostic value of EEG. The system's design also prioritizes user-friendliness, enabling quick and accurate electrode placement, which is particularly advantageous in both clinical settings and large-scale research studies [81][82][83][84].…”

Innovations in the Acquisition and Simulation of EEG Signals An Integrated Study of Literature Review and Application of Biomedical Technology

“…In summary, critical analysis of the literature suggests that although signi cant advances have been made in EEG and BCI technology, there are substantial opportunities for further improvements. These improvements could not only advance neuroscience research, but also facilitate practical applications that directly bene t patients and society at large (Chaddad et al, 2023;Qin et al, 2023).…”