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Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review

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
10.5120/19283-0701

Vijay Kumar Garg, R.k. Bansal . Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review. International Journal of Computer Applications. 110, 1 ( January 2015), 27-46. DOI=10.5120/19283-0701

@article{ 10.5120/19283-0701,
author = { Vijay Kumar Garg, R.k. Bansal },
title = { Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 1 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number1/19283-0701/ },
doi = { 10.5120/19283-0701 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:16.086695+05:30
%A Vijay Kumar Garg
%A R.k. Bansal
%T Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 1
%P 27-46
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intelligent computing methods and knowledge based systems are well known techniques used for the detection of various medical disorders. This paper is based on the review of various intelligent computing methods that are used to detect sleep disorders. The main concern is based on the detection of sleep disorders such as sleep apnea, insomnia, parasomnia and snoring. The most common diagnostic methods used by many researchers are based on knowledge-based system (KBS), rule based reasoning (RBR), case based reasoning (CBR), fuzzy logic (FL), artificial neural network (ANN), support vector machine(SVM), multi-layer perceptron (MLP) neural network, genetic algorithm (GA), k-nearest neighbor (k-NN), hybrid neural network, bayesian network (BN), data mining (DM) and many other integrated approaches. In traditional approach questionnaire was used for the detection of various disorders that is now overcome with all above mentioned techniques to enhance the accuracy, sensitivity and specificity

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Index Terms

Computer Science
Information Sciences

Keywords

RBR CBR ANN GA DM FL BN Intelligent computing techniques

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