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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Abstract
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|