Smart sensor design and analysis of brain machine interface using labview

Communication for physically challenged people is indispensable for their day to day activities. This paper presents the hardware design of smart sensors for brain machine interface which is used for acquiring the bio potential signals from three different sensors such as EEG, Eyeball and the Eye blink signals. The design was analyzed and validated using Lab View. Bio-signals from the forehead, scalp and eye movements are acquired and the artifacts generated by spurious signals are filtered out using band pass filters. Transmission and reception of these signals over wireless media assists the partially paralytic patients by taking these signals as commands and, to be independent in doing their daily chores The paper aims in exploiting the qualities of MULTISIM functionality, design complexity, and hence the design time of these signal circuits are significantly reduced and a comparative analysis is done to prove the design of the hardware developed is accurate to an extent of 90%.