DocumentCode :
536380
Title :
Application of S-transform to driving fatigue in EEG analysis
Author :
Ai, Lingmei ; Nan, Jiaofen ; Shen, Jun
Author_Institution :
Sch. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
814
Lastpage :
817
Abstract :
Based on the fact that S-transform enjoys many obvious advantages in non-stationary signal processing, the application of S-transform was presented in EEG analysis to explore the characters of drivers´ EEG signals in this paper. Firstly, the result of all drivers´ scores from FS-14 was analyzed. Then the EEG was divided into four different driving states according to the above analysis result, which were processed by using S-transform. The study shows that the different states can be distinguished well by the time-frequency spectrums. Thus, S-transform is expected to become an effective way in detecting driving fatigue.
Keywords :
electroencephalography; medical signal processing; transforms; EEG analysis; driving fatigue detection; electroencephalography; s-transform; time-frequency spectrum; Educational institutions; Electrocardiography; EEG; S-transform; driving fatigue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658800
Filename :
5658800
Link To Document :
بازگشت