EEG-Based Real-Time Feedback for Meditation Performance Optimization
R. K. Kanna, Priyanka Singh, A. Salau, Archibald E. D. Danquah Amoah, Shrddha Sagar
2025 3rd International Conference on Communication, Security, and Artificial Intelligence April 4, 2025 DOI: 10.1109/iccsai64074.2025.11064619 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Engineering system design and signal acquisition study Peer reviewed |
|---|---|
| Topics | Meditation |
| Key points | Proposes that a three-electrode headgear with the TGAM device can acquire EEG signals showing discernible changes in wave patterns during meditation, and that convolving these signals with a reference signal could allow real-time EEG to portray a person's current emotional state. The stated aim is to support self-awareness and improve meditation performance. |
Abstract
Meditation is a widely practiced technique employed by individuals worldwide, wherein one directs their attention towards a specific object, thought, or activity in order to attain a state of mental clarity and emotional tranquilly. The objective of the research is to present the outcomes on a digital display in order to enhance comprehension of one's own results. During the practice of meditation, the process of analyzing and observing brain wave activity is conducted, and the resulting data is stored for the purpose of analysis, with the aim of improving one's performance in meditation. The raw data consists of realtime brain signals received by the TGAM device. The device outputs measurements related to attention and meditation, which are then transmitted directly to a webpage. The process involves the acquisition and registration of neural signals using electrodes positioned on the headgear. The objective of this research is to acquire an electroencephalogram (EEG) signal using the fabricated headgear apparatus. TGAM. The acquisition of the electroencephalogram (EEG) signal can be accomplished through the utilization of a limited number of electrodes, specifically three, which are positioned on the scalp in strategic locations. This placement allows for the identification and differentiation of discernible alterations in the diverse wave patterns exhibited by the EEG signal. The primary circuit comprises basic electronic components, including resistors, capacitors, Quad Op-Amplifiers, and Instrumentation Amplifiers. The signal acquired from the headgear device can be subjected to analysis, processing, and comparison with a reference signal encompassing diverse human emotional states. The convolution of these signals will enable the real-time EEG signal to accurately portray an individual's present emotional state. The primary objective of this study is to facilitate self-awareness and enhance performance in meditation sessions for individuals.
Citations in the library
Cites 2
- Closed-Loop Systems and Real-Time Neurofeedback in Mindfulness Meditation Research. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging April 1, 2025
- Exploring neural markers of dereification in meditation based on EEG and personalized models of electrophysiological brain states. Scientific Reports October 16, 2024