the techniques based on decomposing the signal, like DWT and WPD, are very effective because the information of EEG data is carried in different bands and these approaches can decompose the waves in different resolutions and scales [66]. Moreover, these techniques are able to extract dynamic fea...
IEEE Signal Process. Lett. 2019, 26, 715–719. [Google Scholar] [CrossRef] Majoros, T.; Oniga, S. Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network. In Proceedings of the IEEE EUROCON 2021—19th International Conference on Smart Technologies, ...
The RD can also be expressed in the form: RD𝑧(𝑡,𝑓)=∫∞−∞𝑧(𝑡)𝑧∗(𝑡−𝜏)𝑒−𝑗2𝜋𝑓𝜏𝑑𝜏.RDz(t,f)=∫−∞∞z(t)z∗(t−τ)e−j2πfτdτ. (10) Once the signal time–frequency representation is calculated, its information content ...
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(earliest ictal source localisation solution accounting for 90% of the signal variance from averaged discharge take-off towards the peak)31. Both AEC-VIZ and MI-VIZ hotspots (high NI values) point to the left anterior hippocampus, entorhinal cortex and basal temporal structures. The patient has ...
TQWT is an advanced form of DWT in which the Q-factor is tunable to make the filter compatible with the input signal. This allows a more efficient separation of the oscillatory and the transient signals (Weiner and Dang-Vu 2016). TQWT, like DWT, contains two-channel filter bank, where th...
Beyond this period, the EEG signal can be divided into three more stages: ictal (the seizure), postictal (the period after the seizure), and interictal (the period between the postictal and preictal stages of two consecutive seizures)5. Throughout the years, various seizure prediction ...
First, the redundant information of the EEG signal will lead to an increase in computational complexity. Second, reducing the speed of the processing algorithm may result in a decrease in the recognition rate of the signal. Third, a multi-object recognition classifier is not stable enough. ...
Dynamic state recognition and event-prediction are fundamental tasks in biomedical signal processing. We present a new, electroencephalogram (EEG)-based, brain-state identification method which could form the basis for forecasting a generalized epileptic seizure. The method relies on the existence in the...
Used in the wider literature to investigate aspects of response control, this procedure involves the presentation of a series of cues that signal either action (Go trials) or inhibition (No-go trials), with ERPs recorded time-locked to the presentation of different cue types. When examined in ...