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Eeg Signals Analysis

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Analysis of EEG signals for mood detection in Humans Mani kumar D A, Sahil Goel, Subhkarman Singh Goraya, Gurpreet Singh
Students, Electronics and Communications Engineering, BMS College of Engineering.

Abstract— This paper presents a detailed analysis on EEG signals to classify the different moods in human beings based on EEG signals acquired from biosensors. The main objective of this paper is to understand the procedure used to detect different moods in human beings using the EEG signals associated with each emotion. And to explain how EEG signals are classified.
Keywords— EEG signals, Human emotions(moods).
I. INTRODUCTION
Emotion plays an important role in human life. Human beings are subjected to various emotions throughout their
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Because it should be noted that the face expression and speech can intentionally influence to false emotion. For this reason it can be it can be helpful to use physiological signals like electroencephalogram (EEG) signal for study of human emotions. The emotions detected by EEG signals may be more advantageous because it is difficult to influence electrical brain activity intentionally. Moreover, the human brain is the origin of all the emotions and it is not possible to influence the brain activity…show more content…
APPLICATIONS OF EEG
The EEG methods are used in clinical and researching areas. Most of the EEG techniques used in research are not standardized sufficiently for clinical use.

1) Clinical use: EEG is typically used in the following clinical circumstances:
• to distinguish epileptic seizures from other types of spells, such as psychogenic non-epileptic seizures, syncope (fainting), sub-cortical movement disorders and migraine variants.
• to differentiate "organic" encephalopathy or delirium from primary psychiatric syndromes such as catatonia
• to serve as an adjunct test of brain death
• to prognosticate, in certain instances, in patients with coma
• to determine whether to wean anti-epileptic medications
• early stages of brain tumor can be diagnosed using EEG signals
• it is helpful in treatment of brain disorders such as autism, down syndrome, alzeihmers disease
• to detect brain damage due to a head injury or accident

EEG also has some characteristics that make it recommended method on behavioral testing(mood detecting). EEG can detect processing that does not require a response EEG can be used in subjects who aren’t capable of making motor responses. Some ERP components can be detected even when the subject is not attending to the stimuli. Unlike other means of studying reaction time, ERPs can explicate stages of processing (rather than only the final end
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