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ISSN: 2637-4579

Open Access Journal of Biomedical Engineering and Biosciences

Research Article(ISSN: 2637-4579)

Implications of EEG and Speech Signal in the Analysis of Neurological Disorders-A Survey

Volume 3 - Issue 3

Chetan Balaji1 and D S Suresh2*

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    • 1Research Scholar, Channabasaveshwara Institute of Technology, Research Centre, Karnataka, India
    • 2Professor, Channabasaveshwara Institute of Technology, Gubbi, Tumkur, Karnataka, India

    *Corresponding author: D S Suresh, Research Scholar, Channabasaveshwara Institute of Technology, Gubbi, India

Received: July 31, 2019;   Published: August 08, 2019

DOI: 10.32474/OAJBEB.2019.03.000165

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This paper presents the need of diagnosing Neurological disorders related to Alzheimer’s disease (AD) as well as Parkinson Disease (PD) by analyzing both EEG and Speech Signal. Research papers discuss about the various approaches in the analysis of Alzheimer’s disease by extracting the electrical activity of brain signals. EEG systems are widely used to extract brain signals as they are quite capable of measuring Electrical activities of the brain but possess very poor spatial resolution and will be contaminated with various artifacts. Current Surveys indicate that about 70% - 90% of patients suffering with Parkinson’s disease exhibit dysphonic (Impairment in speaking ability) symptoms; thereby speech signal analysis is widely used to diagnose PD. Due to ambient environment, motion artifacts the speech quality may be varied which may result in wrong diagnosis. Even though researchers propose various risk factors for effective analysis of AD and PD using EEG and Speech signals the above stated limitations of EEG and Speech Signal can lead to a fault diagnosis of the diseases and may lead to subtle manifestation of defects. An efficient diagnostic system is therefore necessary to diagnose these Neurological disorders more effectively analyzing EEG and speech signal. This paper addresses the different techniques and methodologies incorporated in diagnosing the Neurological disorders such as AD and PD using EEG and Speech signal which provides a better insight to carry out the further research by developing an efficient integrated algorithm for diagnosing the above stated Neurological disorders using both EEG and Speech Signal.

Keywords: Parkinson’s disease; Alzheimer’s disease; EEG; Speech Signal; FOG

Abstract| Introduction on Neurological Disorders| Generalized Methodology to Analyze EEG and Speech Signals| Literature Survey| Discussions and Proposed Methodology| References|