Work

Classifying Electroencephalogram (eeg) Signals for Accurate Mental Disorder Analysis

Year: 2025

Type: article

Abstract: Electroencephalogram (EEG) is a powerful tool for analysis of brain signals. The variation in pattern of EEG signals are useful in computing the mental disorders. In this presented work, the main aim is to study and analyze the techniques available for EEG signal classification. Additionally, contribute a deep learning based technique for accurately predict the mental health. This document discusses the over need of the proposed work, the problem domain and the proposed solution strategy. Additionally, the expected outcome and required tools and techniques have also been discussed.

Source: International Journal of Engineering Applied Sciences and Technology

DOI: 10.33564/ijeast.2025.v09i09.008

Authors: Shikha Lakra, Dr.Shivangi Chandrakra

Institution: Chhattisgarh Swami Vivekanand Technical University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4408915918

FWCI:

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