Characteristic Analysis of Auditory Stimuli Utilizing the Sound Source of Ultrasonic Band and the Audible Frequency Band and Cerebral Activation State Changes

다국어 초록 (Multilingual Abstract)

Neurofeedback, which is considered an alternative medicine, is a training that changes the cerebral activation state by a patient's own efforts. New Neurofeedback users often have a hard time learning to control their own brain waves. For this reason, many users give up on Neurofeedback therapy prematurely. Neurofeedback advocates have been studying a variety of brain activation state control methods to develop easier Neurofeedback therapies to overcome this defect. Humans receive a variety of external information with the help of various sensory organs such as the eyes and ears. This information is recognized by the cerebrum, and as a result it induces changes in the activation state of the brain. Auditory stimulation of external stimuli is perceived as sound by stimulating the brain through air conduction. In general, the auditory stimulus bandwidth from 20Hz to 20KHz is used. Auditory stimulus of ultrasound higher than 22KHz is not used as an external stimulus to induce the brain activation state change, since humans cannot hear beyond this bandwidth. It is known that auditory stimulus of ultrasound bandwidth directly stimulates the cochlea of the inner ear and can induce changes in the brain activation state. However, no specific research results that compare the difference between the audible and the ultrasound stimulus has been presented, so there are limitations utilizing the ultrasound bandwidths in practical applications. For this reason, this study has analyzed changes in brain activation utilizing the auditory stimulation in audible and in ultrasound frequency. The research result of this study can be applied in a variety of applications, which uses ultrasound auditory stimulus.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Experimental Design
• 2.1. Experimental Environments
• 2.2. Stimulus Sound Source Selection and Electroencephalogram Extraction
• 3. Experiments and Results
• 4. Conclusion
• Acknowledgements
• References