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An Algorithm for Video-Polysomnography Method to Create Shortened Motion Video from Whole Night Sleep Video

by K M Talha Nahiyan, Md. Zahidul Islam, Md. Adnan Kiber
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 5
Year of Publication: 2013
Authors: K M Talha Nahiyan, Md. Zahidul Islam, Md. Adnan Kiber
10.5120/13861-1713

K M Talha Nahiyan, Md. Zahidul Islam, Md. Adnan Kiber . An Algorithm for Video-Polysomnography Method to Create Shortened Motion Video from Whole Night Sleep Video. International Journal of Computer Applications. 80, 5 ( October 2013), 43-45. DOI=10.5120/13861-1713

@article{ 10.5120/13861-1713,
author = { K M Talha Nahiyan, Md. Zahidul Islam, Md. Adnan Kiber },
title = { An Algorithm for Video-Polysomnography Method to Create Shortened Motion Video from Whole Night Sleep Video },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 5 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number5/13861-1713/ },
doi = { 10.5120/13861-1713 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:47.009367+05:30
%A K M Talha Nahiyan
%A Md. Zahidul Islam
%A Md. Adnan Kiber
%T An Algorithm for Video-Polysomnography Method to Create Shortened Motion Video from Whole Night Sleep Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 5
%P 43-45
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A sleep disorder is a medical disorder of sleep patterns of a person. Polysomnography is usually used to determine sleep disorder but it is a partly invasive and interfering method. Thus anyone having this test may face difficulty in having sleep during the procedure and may result in inappropriate diagnosis. In case of abnormal motion related sleep disorder, a video-polysomnography method can be used where the whole night sleep is recorded and analyzed later. But a whole night sleep video is 6-8 hours long and thus very difficult to examine such a lengthy video. In this paper it is proposed that if we create a shortened motion video out of the whole night sleep video, containing only the movement related portions, then a sleep analyst can diagnose for sleep disorder by analyzing that video in a short time and order further extensive test. For primary detection of sleep disorder it can be a low cost, simply implemented and noninvasive method of video-polysomnography.

References
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  3. Image Processing Toolbox™ User's Guide, The Mathworks, Inc.
  4. Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins (2004), Digital Image Processing using MATLAB, Pearson Education.
  5. Data Import and Export User's Guide, The Mathworks, Inc.
  6. Kayyali H, Weimer S, Frederick C, et al. "Remotely attended home monitoring of sleep disorders. " Telemedicine and E-health. May 2008. Vol 14(4):371-4.
  7. Banno K, Kryger MH. "Use of polysomnography with synchronized digital recording to diagnose pediatric sleep breathing disorders. " JAMC 2005;173(1)28-30.
Index Terms

Computer Science
Information Sciences

Keywords

Video-polysomnography Shortened motion video

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