A Study on the Characteristics of an EEG Based on a Singing Bowl’s Sound Frequency
- Authors
- Ahn, I.-S.; Kim, B.-Y.; You, K.-B.; Bae, M.-J.
- Issue Date
- Jan-2019
- Publisher
- Springer Verlag
- Keywords
- EEG; Frequency; Healing; Human body; Influence; Singing bowl’s sound; Sound
- Citation
- Studies in Computational Intelligence, v.789, pp.233 - 243
- Journal Title
- Studies in Computational Intelligence
- Volume
- 789
- Start Page
- 233
- End Page
- 243
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31107
- DOI
- 10.1007/978-3-319-98881-8_16
- ISSN
- 1860-949X
- Abstract
- We analyzed the sound of a singing bowl, which is used as a method to restore and maintain the balance of the natural frequency of the human body, and studied the EEG (electroencephalogram) of the listener according to the frequency band of the singing bowl’s sounds. The singing bowl’s sound has a wide range of frequencies that can restore all of the natural frequencies of the human body, thus helping the body recover or heal. The low frequency band of the singing bowl’s sound was the most energy-intensive across the whole band, followed by a decrease in energy in the order of the mid-frequency band and the high-frequency band. The singing bowl is a tool designed to help people heal and recover, thus it’s sounds aim to gives stability and comfort to people’s mind and body as a whole. A study on the brain wave characteristics of listeners corresponding on the frequency bands of a singing bowl’s sounds will provide useful data for using singing bowls and it is hoped that this study will contribute to the development of other sound healing tools. © 2019, Springer Nature Switzerland AG.
- Files in This Item
-
Go to Link
- Appears in
Collections - College of Information Technology > ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/31107)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.