COMPARISON AND BOOSTING OF EEG MOTOR IMAGERY SIGNAL DECOMPOSITION METHOD IN CLASSIFICATION OF BCI COMPETITION IV DATA SET 2A
Morvarid Ghafouri, Ali Roozbahani, Ali Fallah · IBRO Neuroscience Reports · 2023
The investigative purpose in favor of brain development and evolution, leads to disciplined execution of several for years, pressure exercises in the frontal lobe in order to increase concentration, a possible densification and generation of voluntary pulse signals, called SPV.Once the signal has been identified, through the use of EEG and EEG interface, its main characteristics such as amplitude, frequency and intensity are analyzed and compared.It is verified that the generation of SPV opens the possibility of studying and controlling brain signals, in the research and manufacture of brain-machine connection devices, potentiation of brain capacities and evolutionary research of the brain.Introduction Within the analysis it is found that the event is measurable as an SPV (Voluntary Pulse Signal) pulse type signal, proving that it is possible to generate voluntary signals, this discovery leads not only to deduce that the brain can function and exercised in favor of cognitive, but also to study how would facilitate brain-machine interaction.Material and methods The signals are acquired through the Bitalino interface, using between two and six EEG channels, which are connected via bluetooth to a computer, and then processed in the Opensignals software.Discussion and results SPV is obtained, that is, with measurable magnitudes of its variables, amplitude greater than 2 times the signal at rest, frequency lower than the signal at rest, approximately f/2.This research demonstrates that it is possible to control and voluntarily generate signals in the frontal lobe to manage connecting devices; and how the brain is exercised by frontal pressure.conclusions This research opens the space for different studies and analysis of brain signals different from those already known, SPVs can vary in magnitude, with properties such as frequency, amplitude and intensity that reflect, condition and offer a large number of applications in neurosciences.