Pain Classification and Instant Pain Discrimination Using Sparse Modeling

摘要

The present invention provides a method for discriminating or classifying the pain of the estimation target based on the brain waves of the estimation target. This method comprises: a) stimulating the estimation target with a plurality of levels of stimulation intensity; b) acquiring brain wave data of the estimation target corresponding to the stimulation intensity or analysis data thereof; and c) the brain wave data or A step of extracting an electroencephalogram feature amount from the analysis data, and d) inputting the feature amount into a sparse model analysis and approximating to at least one of a quantitative level and a qualitative level of pain to estimate or discriminate the pain level. And a process. The present invention also provides an evoked electroencephalogram component, an initial event-related potential component, and all or part of electroencephalogram data or its analysis data between the earliest time point and 2000 msec of 250 msec after the target stimulus is added. Provided is a method for discriminating or evaluating pain, which comprises a step of comparing with electroencephalogram data after the same time after being added or analysis data thereof.