| Popis: |
Electroencephalography (EEG) signal analysis has received great acknowledgment in the domain of biomedical signal processing for the interpretation of human brain activities. There is a close bonding between the EEG signal and human brain activities. In the human brain, millions of neurons interact with one other and as a result, we obtain electrical signals by placing the electrodes on the scalp in a non-invasive way. The human behavior (polite, rude, whimsical, etc.), mood (happy, sad, anger, depressed, etc.), sensory states (movement of the eye, lip, hand, etc.), cognitive task ability (understanding, thinking, problem-solving, implementation, debugging, recalling) can be monitored, interpreted and analyzed with the exploitation of EEG signals. Moreover, to detect neurological diseases and for treatment purposes, EEG signals are countless boons in the field of biomedical signals. The central nervous system is responsible for controlling human behavior, mood, cognitive task motor, and imaginary task to some extent. To find evidence, we have focused on the effects of cognitive tasks on the central nervous system. Due to the non-linearity and non-stationarity nature of the EEG signals, we have investigated the signals using non-linear tools like the Surrogate data test and phase space plot. Moreover, we have explored the topological scalp map view to obtain the visual effects of the scalp. |
