Acquisition and Pre-Processing of the EEG Signal based on Motor Activities

At nowadays the person suffering from upper amputee is increased they face several issues in day-to-day life. To provide a rehabilitation to them in this study the electro encephalographic signals are acquired and features are extracted from the different subjects by performing several motor actions to find the deviation in the EEG signal at several motor action states. In this study EEG signal is acquired from the five different subjects at six different states. Different states at which signal acquired in this study are resting, writing, typing, grasping, lifting and punching these are the general activities that are carried out by every normal person. All the acquired EEG signals are pre-processed using the band pass filter to denoise the noises present in the acquired EEG signal. Filtered EEG signal is smoothened using the mean average smoothening method which is used to remove the minute noises present in the filtered EEG signal. The deviations in the parameters of the acquired EEG signal at the state of different motor actions are clearly shown in this study. The parameters of the pre-processed