In this paper we propose to measure energy of specific motor imageries in the brain signal using Fast Hartley transform along with the Chebyshev filter and selecting the ideal channels for the classification problem using the proposed support vector machine.
The energy from the preprocessed EEG epoch was extracted using a combination of Fast Hartley transform and Chebyshev filter.
Chebyshev filters are used to capture the energies in the 5-15 Hz band.
This figure represents the amplitude response (a) and the phase response (b) of a Chebyshev filter and its linear interpolations via the real (dashed-dotted plot) and complex (dashed plot) interpolations.
In the case of the Chebyshev filter, real interpolation has another advantage to cut the oscillations in the low frequencies, leading to a better filtering of the low frequencies than usual filtering methods.