Pain estimating device, pain estimating method, and pain classification

A method of generating a pain classifier for classifying pain of an object being estimated based on a brainwave of the object being estimated, comprising the steps of:

• a) stimulating the object being estimated with a plurality of levels of stimulation intensities;
• b) obtaining brainwave data or analysis data thereof of the object being estimated corresponding to the stimulation intensities;
• c) plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated;
• and
• d) identifying a pain classifier for separating a pain level to at least two based on the specific pain function when a regression coefficient for fitting to the specific pain function is equal to or greater than a predetermined value.

An apparatus for generating a pain classifier for classifying pain of an object being estimated based on a brainwave of the object being estimated, comprising:

• A) a stimulation unit for stimulating the object being estimated with a plurality of levels of stimulation intensities;
• B) a brainwave data obtaining unit for obtaining brainwave data or analysis data thereof of the object being estimated corresponding to the stimulation intensities;
• and
• C) a pain classifier generation unit for plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated, and identifying a pain classifier for separating a pain level to at least two based on the specific pain function.

A method of classifying pain of an object being estimated based on a brainwave of the object being estimated, comprising the steps of:

• a) stimulating the object being estimated with a plurality of levels of stimulation intensities;
• b) obtaining brainwave data or analysis data thereof of the object being estimated corresponding to the stimulation intensities;
• c) plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated;
• d) identifying a pain classifier for separating a pain level to at least two based on the specific pain function when a regression coefficient for fitting to the specific pain function is equal to or greater than a predetermined value;
• e) obtaining the brainwave data or analysis data thereof of the object being estimated;
• and
• f) classifying the brainwave data or analysis data thereof to a pain level of the object being estimated based on the pain classifier.

An apparatus for classifying pain of an object being estimated based on a brainwave of the object being estimated, comprising:

• A) a stimulation unit for stimulating the object being estimated with a plurality of levels of stimulation intensities;
• B) a brainwave data obtaining unit for obtaining brainwave data or analysis data thereof of the object being estimated;
• C) a pain classifier generation unit for plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated, and identifying a pain classifier for separating a pain level to at least two based on the specific pain function;
• and
• D) a pain classification unit for classifying the brainwave data or analysis data thereof to a pain level of the object being estimated based on the pain classifier.

A method of classifying pain of an object being estimated based on a brainwave of the object being estimated, comprising the steps of:

• e) obtaining brainwave data or analysis data thereof of the object being estimated;
• and
• f) classifying a pain level of the object being estimated by fitting the brainwave data or analysis data thereof to a predetermined pain classifier;
• wherein the pain classifier is obtained by fitting the brainwave data or analysis data thereof of the object being estimated to a pain function.

A storage medium comprising a program for having a computer perform a method of generating a pain classifier for classifying pain of an object being estimated based on a brainwave of the object being estimated, the method comprising the steps of:

• a) stimulating the object being estimated with a plurality of levels of stimulation intensities;
• b) obtaining brainwave data or analysis data thereof of the object being estimated corresponding to the stimulation intensities;
• c) plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated;
• and
• d) identifying a pain classifier for separating a pain level to at least two based on the pain function when a regression coefficient for fitting to the specific pain function is equal to or greater than a predetermined value.

A storage medium comprising a program for having a computer execute a method of classifying pain of an object being estimated based on a brainwave of the object being estimated, the method comprising the steps of:

• a) stimulating the object being estimated with a plurality of levels of stimulation intensities;
• b) obtaining brainwave data or analysis data thereof of the object being estimated corresponding to the stimulation intensities;
• c) plotting, and fitting to a pain function, the stimulation intensities or a subjective pain sensation level corresponding to the stimulation intensities and the brainwave data or analysis data thereof to obtain a pain function specific to the object being estimated;
• d) identifying a pain classifier for separating a pain level to at least two based on the specific pain function when a regression coefficient for fitting to the specific pain function is equal to or greater than a predetermined value;
• e) obtaining the brainwave data or analysis data thereof of the object being estimated;
• and
• f) classifying the brainwave data or analysis data thereof to a pain level of the object being estimated based on the pain classifier.

A storage medium comprising a program for having a computer execute a method of classifying pain of an object being estimated based on a brainwave of the object being estimated, the method comprising the steps of:

• e) obtaining brainwave data or analysis data thereof of the object being estimated;
• and
• f) classifying a pain level of the object being estimated by fitting the brainwave data or analysis data thereof to a predetermined pain classifier;
• wherein the pain classifier is obtained by fitting the brainwave data or analysis data thereof of the object being estimated to a pain function.