Title :
Short-time Fourier Transform analysis of EEG signal from writing
Author :
Fadzal, C. W N F Che Wan ; Mansor, W. ; Khuan, L.Y. ; Zabidi, A.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
Abstract :
Short-time Fourier Transform (STFT) provides an advantage of revealing the frequency contents of the signal at each time point in the signal. This information can be used to provide control and perform several tasks in Brain Computer Interface system. This paper describes the STFT analysis of EEG signals obtained during relaxing and writing, The results of the STFT analysis showed that there are significant differences in the frequency components and patterns between the EEG signals obtained from relax and writing.
Keywords :
brain-computer interfaces; data acquisition; electroencephalography; fast Fourier transforms; medical signal processing; EEG signal; brain computer interface system; data acquisition; electroencephalogram; relaxing; short-time Fourier transform analysis; writing; Electrodes; Electroencephalography; Fourier transforms; Signal resolution; Spectrogram; Time frequency analysis; Writing; Electroencephalogram; Fourier Transform; Short Time Frequency Transform;
Conference_Titel :
Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
Conference_Location :
Melaka
Print_ISBN :
978-1-4673-0960-8
DOI :
10.1109/CSPA.2012.6194785
