Lee, "Time-frequency analy- sis of band-limited EEG with BMFLC and Kalman filter for BCI applications," Journal of Neuroengineering and Rehabili- tation, vol. 10, no. 1, p. 109, 2013.Wang Y, Veluvolu KC, Lee M. Time-frequency analysis of band-limited EEG with BMFLC and Kalman ...
Epilepsy Detection using EEG requires feature extraction from the acquired signal in specific frequency range of delta, theta, alpha, beta, and gamma. Though some researchers have mentioned the use of DWT decomposition to obtain these bands, the method given is inadequate to achieve these. This pa...
6053–6060 (2012)8. Michels, L., et al.: Simultaneous EEG-fMRI during a working memory task: modulations in low and high frequency bands. PLoS One. 5(4), e10298 (2010)9. Kaufmann, C., et al.: Brain activation and hypothalamic functional connectivity during human non-rapid eye movement...
DATAANALYSIS dataanalysis alertnessbased EEGpower spectrum eachsubject, after collecting 33-channel EEG signals drivingdeviations 45-minutesimulated driv- ing session, EEGdatawere first preprocessed using sim-ple lowpass filter cut-offfrequency 50Hz linenoise otherhigh-frequency noise. wecal- ...
Objective: The EEG spectral content of all-night sleep recordings obtained in 7 healthy young subjects, aged 18–20 years, including frequencies up to 45 Hz, was studied in order to detect eventual changes in the high-frequency range similar to those reported by magnetic field recording during ...
In assuming functional differences between different EEG alpha frequency bands, recent studies emphasize the importance of using narrow (8–10 Hz or 10–12 Hz) instead of broad alpha frequency ranges (8–12 Hz). Due to individual differences in alpha activity, it has also been suggested to adj...
al.: Methods for simultaneous EEG-fMRI: an introductory review. J. Neurosci. 32(18), 6053–6060 (2012)8. Michels, L., et al.: Simultaneous EEG-fMRI during a working memory task: modulations in low and high frequency bands. PLoS One. 5(4), e10298 (2010)9. Kaufmann, C., et al....
(BCI) systems. A large number of motor imagery classification methods have been proposed. In previous studies, machine learning methods like dynamic connectivity analysis5, frequency band analysis4, continuous wavelet transform6, and Filter Bank Common Spatial Pattern (FBCSP)7have been widely proposed...
Especially, EEG alpha frequency band power could serve as a global measure of the cognitive load-situation which grounds in demands on core EFs. Pupil dilation, which can be more efficiently acquired as compared to the EEG, might also be used as a measure of the overall load-situation. Yet...
In this letter, we present an olfactory EEG signal classification network based on frequency band feature extraction. A frequency band generator is first designed to extract frequency bands via the sliding window technique. Then, a frequency band attention mechanism is proposed to optimize frequency ...