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Knowledge based System for the Diagnosis of Sleep Disorders

by Vijay Kumar Garg, R.k. Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 1
Year of Publication: 2015
Authors: Vijay Kumar Garg, R.k. Bansal
10.5120/19284-0702

Vijay Kumar Garg, R.k. Bansal . Knowledge based System for the Diagnosis of Sleep Disorders. International Journal of Computer Applications. 110, 1 ( January 2015), 47-51. DOI=10.5120/19284-0702

@article{ 10.5120/19284-0702,
author = { Vijay Kumar Garg, R.k. Bansal },
title = { Knowledge based System for the Diagnosis of Sleep Disorders },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 1 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number1/19284-0702/ },
doi = { 10.5120/19284-0702 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:16.763195+05:30
%A Vijay Kumar Garg
%A R.k. Bansal
%T Knowledge based System for the Diagnosis of Sleep Disorders
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 1
%P 47-51
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intelligent computing systems (ICS) and knowledge-based systems (KBS) have shown an imperative aspect in the detection and interpretation of electroencephalography (EEG) based sleep disorders that are associated by psychological and physiological factors like Sleep Apnea, Insomnia, Parasomnia and Snoring. Heuristic detection methods based on EEG parameters for sleep disorders have also been described in the paper, and a small attempt has been made to integrate rule-based reasoning (RBR) and case-based reasoning belongs to KBS. Integrated methods of RBR and CBR enhance the computation and logical competence of thought process involved to solve a problem. In this paper, an integrated model is developed in which RBR and CBR used for developing cases which are further used for detection and interpretation of sleep disorders. All these sleep disorders are framed into physio-psycho (muscular, cognitive and psychological) and EEG based parameters. The prime aim of this paper is to develop a combined model based on RBR and CBR in which RBR interacts with the sign and symptoms of the disorders, CBR is used for recognize the sleep disorders.

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Index Terms

Computer Science
Information Sciences

Keywords

CBR EEG RBR Sleep Disorders

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