Communication Based Acquisition of Biopotentials for Patients with Cognitive Abilities

Vision and speech are the two natural ways of human communication. The major challenge is to create reliable perceptual technologies that allow applications of communication with multiple modalities. There are many options for restoring this function and, human machine interface is one of its kinds, which is the focus of the present work. This paper presents the design and development of a human-computer interaction hardware using TE765 and TE763 biosensors to acquire EEG and eyeball movements. The work also involves the design of communication channel for transmission and reception of signals so as to control the interfaced devices. The salient features of these devices are voice annunciation for prompting proper action by persons assisting the patient and alarm activation for fear, stress and emotions detected in the paralyzed or semi paralyzed subjects. The designed system is capable of handling EEG signals ranging from 0 to 200 μV with a band width of 2 Hz to 1 KHz. The accuracy of the system is 0.3 μV RMS.