Effect of OM Chanting on Brain through EEG Signal Analysis
Harshita Vikramsingh Rajput
International Journal for Research in Applied Science and Engineering Technology June 5, 2023 DOI: 10.22214/ijraset.2023.53562 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Preprint Peer reviewed |
|---|---|
| Intervention | OM meditation |
| Citations | 3 |
| Key points | Argues that OM meditation may benefit people under strain or annoyed with daily routines, and that analyzing EEG signals before and after OM chanting with machine learning can verify meditation's significance. The abstract reports no specific results, only that classification performance is assessed via accuracy, sensitivity, and precision. |
Abstract
Abstract: Electroencephalography (EEG) signals is an important tool in neuroscience. The behavior of human body can be controlled by millions of neurons present in human brain. EEG is an efficient modality which helps to acquire brain signal corresponds to the various states from scalp surface area. EEG is nothing but the electrical activity of brain. As we know meditation is important since the old days. Meditation can impact more on our brain signal. Recently, the brain signal has made powerful attention towards brain diseases like depression, memory loss, stress etc. Therefore, this work aims to study the importance of OM Meditation which could be very marvel for the people who are under the strain and also who are annoyed with daily routine. In this work, analysis of OM chanting signal before and after and classification is carried out, to verify the significance of meditation. The process involves major two steps: first step is to pre-process or extract the features and second stage is to apply machine learning algorithms. The performance of these methods can be assessed by OM chanting data and quantitative metrics such as accuracy, sensitivity, precision.