PMID- 26485973
OWN - NLM
STAT- MEDLINE
DCOM- 20151114
LR  - 20181202
IS  - 1001-5515 (Print)
IS  - 1001-5515 (Linking)
VI  - 32
IP  - 3
DP  - 2015 Jun
TI  - [Automatic Sleep Staging Method Based on Energy Features and Least Squares 
      Support Vector Machine Classifier].
PG  - 531-6
AB  - The research of sleep staging is not only the basis of diagnosing sleep related 
      diseases, but also the precondition of evaluating sleep quality, and has 
      important clinical significance. In recent years, the research of automatic sleep 
      staging based on computer has become a hotspot and made some achievements. 
      Feature extraction and feature classification are two key technologies in 
      automatic sleep staging system. In order to achieve effective automatic sleep 
      staging, we proposed a new automatic sleep staging method which combines the 
      energy features and least squares support vector machines (LS-SVM). Firstly, we 
      used FIR band-pass filter to extract the energy features of Pz-Oz channel sleep 
      electroencephalogram (EEG) signals, and compared them with those from wavelet 
      packet transform method. Then we designed an LS-SVM classifier to realize the 
      automatic sleep stage classification. The research showed that FIR band-pass 
      filter (with the Kaiser window) performed better than wavelet packet transform 
      (WPT) for energy feature extraction just in terms of the data from the Sleep-EDF 
      Database and the LS-SVM classifier (with the RBF Kernel function) designed was 
      good, and the automatic sleep staging method proposed in this paper was better 
      than many similar methods from other studies with an average accuracy of 88.89% 
      and had a very prosperous application future.
FAU - Gao, Qunxia
AU  - Gao Q
FAU - Zhou, Jing
AU  - Zhou J
FAU - Ye, Binggang
AU  - Ye B
FAU - Wu, Xiaoming
AU  - Wu X
LA  - chi
PT  - Journal Article
PL  - China
TA  - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
JT  - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = 
      Shengwu yixue gongchengxue zazhi
JID - 9426398
SB  - IM
MH  - Electroencephalography
MH  - Humans
MH  - Least-Squares Analysis
MH  - *Sleep Stages
MH  - *Support Vector Machine
EDAT- 2015/10/22 06:00
MHDA- 2015/11/15 06:00
CRDT- 2015/10/22 06:00
PHST- 2015/10/22 06:00 [entrez]
PHST- 2015/10/22 06:00 [pubmed]
PHST- 2015/11/15 06:00 [medline]
PST - ppublish
SO  - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Jun;32(3):531-6.