This invention relates to the field of
signal recognition technology, specifically to a method and
system for recognizing neurophysiological
signal patterns in the language development of premature infants. The method includes acquiring initial neurophysiological response information and
auditory stimulation parameters collected during
auditory stimulation of the premature infant; extracting language development feature information; determining the neural response state of the premature infant to the current stimulus based on the language development feature information; adjusting the
auditory stimulation parameters according to the neural response state to obtain adjusted auditory stimulation parameters; using the adjusted auditory stimulation parameters to provide further auditory stimulation to the premature infant, determining the adjusted neurophysiological response information; and recognizing the
neural development of language in the premature infant based on the adjusted neurophysiological response information to obtain the neural recognition result of language development in the premature infant. The purpose of this invention is to solve the problem of inaccurate assessments due to biases in the existing technology for evaluating the language abilities of premature infants.