A fuzzy inference system for sleep staging

Author

Liang, Sheng-Fu ; Chen, Ying-Huang ; Kuo, Chih-En ; Chen, Jyun-Yu ; Hsu, Sheng-Che

Author_Institution

Dept. of Comput. Sci. & Inf., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2011

fDate

27-30 June 2011

Firstpage

2104

Lastpage

2107

Abstract

In this paper, a fuzzy inference system for sleep staging was developed. Nine input variables including temporal and spectrum analyses of the EEG, EOG, and EMG signals were extracted and normalization was applied to these variables to reduce the effect of individual variability. A fuzzy inference system contains fourteen fuzzy rules was designed to classify the 30-s sleep epochs as five sleep stages. Finally, a smoothing process was applied to the scoring results for fine-tuning. The average accuracy of the proposed method applied to 16 all-night polysomnography (PSG) recordings compared with the manual scorings can reach 87 %. This method can integrate with various PSG systems for sleep monitoring in clinical or homecare applications.

Keywords

electro-oculography; electroencephalography; electromyography; fuzzy reasoning; medical signal processing; sleep; temporal reasoning; EEG; EMG signals; EOG; PSG systems; fuzzy inference system; fuzzy rules; polysomnography recordings; sleep monitoring; sleep staging; smoothing process; spectrum analyses; temporal analyses; Electroencephalography; Electromyography; Electrooculography; Feature extraction; Sensitivity; Sleep; Smoothing methods; Automatic sleep staging; fuzzy inference systems; fuzzy rules; sleep minitoring; sleep staging;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Conference_Location

Taipei

ISSN

1098-7584

Print_ISBN

978-1-4244-7315-1

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2011.6007380

Filename

6007380