Procedure

• The web-based platform allows the user to perform window analysis of EEG signals to visualize the brain rhythms at specific time bins. The simulator was designed to perform data preprocessing method-low pass and high pass filtration of biosignal data. Also, user can perform a power spectrum density analysis of EEG signals which helps to understand the distribution of power into frequency components.
• The graphical user interface has radio buttons that allows the user to change the parameters.
• User can provide the channel numbers, Sampling rate of recorded EEG data, Time Duration of EEG data. For example, if a researcher is using a 14 electrode EEG device for data acquisition with a sampling rate of 128Hz and the time duration is 2 minutes. He/she can provide the parameters in the simulator and generate a noise filtered Biosignal.

• The platform has radio buttons for data pre-processing method (Noise Filtration).
• User can filter the raw EEG data by providing Low band pass filter and High Band Filter in the simulator. ie For filtration of a raw EEG data, user can provide a low band pass filter as 0.1Hz and a high band pass filter as 100Hz.
• The GUI also shows the range of brain rhythms ie Delta (0.1-4Hz), Theta (4-8Hz), Alpha(8-12Hz), Beta (12-30 Hz) and Gamma (30-60Hz).
•  After providing the channel number, sample rate, duration, LPass and HPass user can click on the “Apply Filter icon” to data preprocessing method.
• After artefacts removal, User can generate a preprocessed data at specific time bins by providing the time duration at Window apply icons and click on “window Apply” radio button.
• After applying specific time duration, user can click on “Generate Data” button to visualize the preprocessed data. 

• After generating a noise free EEG data, user can click on the “Compute PSD” button to visualize the power spectrum distribution of EEG signal into frequency components.
•  Also, the simulator provides the signal values of brain waves in each electrode positions.