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Journal of Healthcare Engineering
Volume 5 (2014), Issue 4, Pages 505-520
http://dx.doi.org/10.1260/2040-2295.5.4.505
Research Article

Automatic Sleep Staging using Multi-dimensional Feature Extraction and Multi-kernel Fuzzy Support Vector Machine

Yanjun Zhang,1,3 Xiangmin Zhang,2 Wenhui Liu,3 Yuxi Luo,1 Enjia Yu,2 Keju Zou,1 and Xiaoliang Liu1

1School of Engineering, Sun Yat-sen University, Guangdong 510006, China
2Sleep-disordered Breathing Center of the 6th affiliated hospital, Sun Yat-Sen University, Guangdong 510655, China
3Jinan University, Guangdong 510632, China

Received 1 February 2014; Accepted 1 August 2014

Copyright © 2014 Hindawi Publishing Corporation. This 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Kaare B. Mikkelsen, David Bové Villadsen, Marit Otto, and Preben Kidmose, “Automatic sleep staging using ear-EEG,” BioMedical Engineering OnLine, vol. 16, no. 1, 2017. View at Publisher · View at Google Scholar
  • Nur Diyana Kamarudin, Chia Yee Ooi, Tadaaki Kawanabe, Hiroshi Odaguchi, and Fuminori Kobayashi, “ A Fast SVM-Based Tongue’s Colour Classification Aided by k -Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis ,” Journal of Healthcare Engineering, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar