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Authors will receive one hard copy of full paper, individual print certificates and digital certificates, Submit Manuscript

CALL FOR PAPERS : DEC-2018

Submission Last Date :  30-Dec-2018
Acceptance Notification :  in 15 days
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Call for Paper Vol-7 Iss-02 Feb-2018

IJRET invites papers from various engineering disciplines for Volume-07 Issue-02, Feb-2018.

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Published Vol-07 Iss-01 Jan-18

IJRET Volume-07 Issue-01, Jan-2018 is published now.

Browse Papers

CLASSIFICATION OF PHYSIOLOGICAL DISEASES USING EEG SIGNALS AND MACHINE LEARNING TECHNIQUES

Rashmi Sahu, Veena N

Abstract: In rural areas providing advanced diagnostics for various health disorders is not possible in countries like India. With latest technological breakthrough, brain signals (EEG signal) capturing devices are available at rate less 50$. If these brain signals can be used to predict any Physiological disorders like heart problem, kidney problems etc., then these EEG devices can be provided to rural health care centre for preliminary investigation and on diagnosis the patient can move to city hospitals for diagnostics and treatment. In this project, we provide a solution of identifying physiological problems using EEG signals and use machine learning techniques for diagnosis

Keywords: EEG Signals, EEG Frame, Feature Extraction

DOI: https://doi.org/10.15623/ijret.2016.0508058

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