| RONZHINA, Marina, Oto JANOUŠEK, Jana KOLÁŘOVÁ, Marie NOVÁKOVÁ, Petr HONZÍK and Ivo PROVAZNÍK. Sleep scoring using artificial neural networks. Sleep Medicine Reviews. 2012, vol. 16, No 3, p. 251-263. ISSN 1087-0792. Available from: https://dx.doi.org/10.1016/j.smrv.2011.06.003. |
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@article{959003,
author = {Ronzhina, Marina and Janoušek, Oto and Kolářová, Jana and Nováková, Marie and Honzík, Petr and Provazník, Ivo},
article_number = {3},
doi = {http://dx.doi.org/10.1016/j.smrv.2011.06.003},
keywords = {Polysomnographic data; Sleep scoring; Features extraction; Artificial neural networks},
language = {eng},
issn = {1087-0792},
journal = {Sleep Medicine Reviews},
title = {Sleep scoring using artificial neural networks},
volume = {16},
year = {2012}
}
TY - JOUR
ID - 959003
AU - Ronzhina, Marina - Janoušek, Oto - Kolářová, Jana - Nováková, Marie - Honzík, Petr - Provazník, Ivo
PY - 2012
TI - Sleep scoring using artificial neural networks
JF - Sleep Medicine Reviews
VL - 16
IS - 3
SP - 251-263
EP - 251-263
SN - 10870792
KW - Polysomnographic data
KW - Sleep scoring
KW - Features extraction
KW - Artificial neural networks
N2 - Rapid development of computer technologies leads to the intensive automation of many different processes traditionally performed by human experts. One of the spheres characterized by the introduction of new high intelligence technologies substituting analysis performed by humans is sleep scoring. This refers to the classification task and can be solved e next to other classification methods e by use of artificial neural networks (ANN). ANNs are parallel adaptive systems suitable for solving of nonlinear 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 preparation 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.
ER -
RONZHINA, Marina, Oto JANOUŠEK, Jana KOLÁŘOVÁ, Marie NOVÁKOVÁ, Petr HONZÍK and Ivo PROVAZNÍK. Sleep scoring using artificial neural networks. \textit{Sleep Medicine Reviews}. 2012, vol.~16, No~3, p.~251-263. ISSN~1087-0792. Available from: https://dx.doi.org/10.1016/j.smrv.2011.06.003.
|
