Mental State Measurement System Using EEG Analysis
With the increased interest in the neurofeedback and brain-computer interface area in recent years, diverse studies are being actively conducted. In this paper, we develop and propose a new BCI system and also implement a brain-wave measurement system to
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Abstract. With the increased interest in the neurofeedback and brain-computer interface area in recent years, diverse studies are being actively conducted. In this paper, we develop and propose a new BCI system and also implement a brain-wave measurement system to confirm a degree of depression and concentration. Through data digitization and graphs, the system can diagnose the user's mental state and the degree of concentration in real time, and can be used to develop therapy programs for various nervous and mental disorders.
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Introduction
With the development of brain imaging techniques, research on the brain is developing at alarming speeds. This science involves multidisciplinary areas, including cerebral medicine aimed at treating brain disorders, neuroscience based on neurobiology or neurophysiology, cognitive science based on psychology, computer science aimed at the development of artificial intelligence, actually all areas [1][2]. Recent studies using brainwaves did not simply aim to understand the cerebral electrophysiological mechanism by analyzing the measured brainwaves, but also to indirectly measure human cognition, emotions or psychology and diagnose diverse neuropsychiatric disorders such as Alzheimer’s disease, anxiety disorder, schizophrenia and depression. Thus, diverse applied technologies are being studied, such as neurofeedback that allows the user to check his/her brainwave state and learn how to adjust it into his/her desired state; the brain-computer interface that is designed to use brainwaves and operate external devices or assist in communications; and the therapy to use electromagnetic fields and stimulate cerebral nervous cells [3]. Knowing that importance, this study aims to develop a brainwave measurement system that can detect depression. In this paper, we developed software to measure and analyze brainwaves in the home using electroencephalography (EEG).
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Background
Brainwaves are electrical flows that are created when signals are delivered from the nervous system to the cerebral nerve. They vary according to the person’s *
Corresponding author.
James J. (Jong Hyuk) Park et al. (eds.), Future Information Technology, Lecture Notes in Electrical Engineering 309, DOI: 10.1007/978-3-642-55038-6_70, © Springer-Verlag Berlin Heidelberg 2014
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psychological state, and are the most important indices of brain activity. Electroencephalography is the method of neurophysiologically measuring cerebral electrical activities and recording them via electrodes attached to the scalp. Depending on the situation, electrodes are attached to the cortex [4]. Brainwaves vary from one person to another, and even normal brainwaves vary according to age. Brainwaves in a waking state also differ from those when a person is asleep. The general brainwave pattern of normal adults consists of mostly 90100Hz alpha waves and a small quantity of beta waves. Brainwaves are classified into δ waves (delta: 0-4 Hz), θ waves (theta: 4-8 Hz), α waves (alpha: 8-12 Hz) and β waves (beta:
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