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A Novel Computer Assisted Automatic Sleep Scoring System by Employing Artificial Neural Network–A review
International Journal of Sensors and Sensor Networks
Volume 5, Issue 3, June 2017, Pages: 43-47
Received: Sep. 14, 2017; Accepted: Sep. 25, 2017; Published: Nov. 2, 2017
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Hemu Farooq, Department of Electronics and Communication Engineering, Bhagwant University, Ajmer Raj, India
Anuj Jain, Department of Electronics and Communication Engineering, Bhagwant University, Ajmer Raj, India
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Sleep is an essential element for an individual’s well-being and is considered vital for the overall mental and physical heath of a person. Sleep can be considered as a virtual detachment of an individual from his environment. In normal humans, about 30% of their life-time is spent for sleep. Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Sleep scoring is under taken by the examination and visual inspection of polysomnograms (PSG) done by sleep specialist. PSG is specialty test, the conduction of which includes the recording of various physiological signals. The signals obtained are processed using digital processing tools so as to extract information. Soft computing techniques are used to analyze the signals. ANNs are parallel adaptive systems suitable for solving of non-linear problems. Using ANN for automatic sleep scoring is especially promising because of new ANN learning algorithms allowing faster classification without decreasing the performance. Both appropriate preparations of training data as well as selection of the ANN model make it possible to perform effective and correct recognizing of relevant sleep stages. Such an approach is highly topical, taking into consideration the fact that there is no automatic scorer utilizing ANN technology available at present. The high performances observed with systems based onneural networks highlight that these tools may be act new tools in the field of sleep research. In this scenario we are surmised the review regarding the computer assisted automatic scoring of sleep and soft computing technique Artificial Neural Network.
Sleep Scoring System, Polysomnograms (PSG), Artificial Neural Network (ANN)
To cite this article
Hemu Farooq, Anuj Jain, A Novel Computer Assisted Automatic Sleep Scoring System by Employing Artificial Neural Network–A review, International Journal of Sensors and Sensor Networks. Vol. 5, No. 3, 2017, pp. 43-47. doi: 10.11648/j.ijssn.20170503.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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