Granted Patent B2

US 12,622,630 · App. 18/326,242 · Granted May 12, 2026

Inventors: Laehyun Kim (Seoul, KR); Jihyeon Ha (Seoul, KR); Sangin Park (Seoul, KR); Da-Hye Kim (Seoul, KR)

Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

A61B5/4005A61B5/372A61B5/7203

Abstract

Claims (73)

1 . An apparatus comprising:

a measuring unit configured to measure a brain signal while a user performs a motor imagery training;

a preprocessing unit configured to perform preprocessing with respect to the brain signal;

a feature extraction unit configured to select a time period including information related to a motor imagery from the preprocessed brain signal and to calculate feature data corresponding to the brain signal of the selected time period; and

a classification unit configured to classify the brain signal into one of a plurality of classes based on the feature data, and

wherein the motor imagery training is:

any one of a first training in which the user imagines moving a body part and a second training in which the user imagines feeling a somatosensory stimuli of a tangible object using the body part.

2 . The apparatus of claim 1 , wherein the body part includes a left hand, a right hand, and a right foot of the user, and

wherein the plurality of classes include the motor imagery of the left hand, the motor imagery of the right hand, and the motor imagery of the right foot.

3 . The apparatus of claim 1 , wherein the somatosensory stimuli is any one of a somatosensory sensation generated when holding the tangible object and a somatosensory sensation generated when feeling a vibration of the tangible object.

4 . The apparatus of claim 1 , wherein the first training includes:

a first step in which the user moves the body part; and

a second step of imagining that the user moves the body part.

5 . The apparatus of claim 4 , wherein the first step includes a period in which the brain signal of the user corresponds to a resting state, a period in which the user moves the body part, and a period in which a neurofeedback related to a movement of the body part is provided to the user, and

the second step includes a period in which the brain signal of the user corresponds to a resting state, a period in which the user imagines moving the body part, and a period in which a neurofeedback related to the imagery is provided to the user.

6 . The apparatus of claim 1 , wherein the second training includes:

a first step in which the user feels the somatosensory stimuli of the tangible object using the body part; and

a second step in which the user imagines feeling the somatosensory stimuli of the tangible object using the body part.

7 . The apparatus of claim 6 , wherein the first step includes a period in which the brain signal of the user corresponds to a resting state, a period in which the user feels the somatosensory stimuli of the tangible object using the body part, and a period in which a neurofeedback related to the somatosensory stimuli is provided to the user, and

the second step includes a period in which the brain signal of the user corresponds to a resting state, a period in which the user imagines feeling the somatosensory stimuli of the tangible object using the body part, and a period in which a neurofeedback related to the imagery is provided to the user.

8 . The apparatus of claim 1 , wherein the measuring unit measures both a first brain signal corresponding to the first training of the user and a second brain signal corresponding to the second training of the user, and

wherein, when a first accuracy with which the classification unit classifies the first brain signal of the user into the plurality of classes is less than a predetermined threshold value, a second accuracy with which the classification unit classifies the second brain signal of the user into the plurality of classes is higher than the first accuracy.

9 . The apparatus of claim 1 , wherein the preprocessing unit performs digital filtering on the brain signal, applies a re-standard method to the brain signal, performs downsampling on the brain signal, and removes artifacts of the brain signal.

10 . A method of operating an apparatus for a motor imagery training, the method comprising;

measuring a brain signal while a user performs a motor imagery training;

performing preprocessing with respect to the brain signal;

selecting a time period including information related to a motor imagery from the preprocessed brain signal;

calculating feature data corresponding to the brain signal of the selected time period; and

classifying the brain signal into one of a plurality of classes based on the feature data, and

wherein the measuring of the brain signal while the motor imagery training is performed includes:

measuring the brain signal during a first training in which the user imagines moving a body part; and

measuring the brain signal during a second training in which the user imagines feeling a somatosensory stimuli of a tangible object using the body part.

11 . The method of claim 10 , wherein the body part includes a left hand, a right hand, and a right foot of the user, and

wherein the plurality of classes include the motor imagery of the left hand, the motor imagery of the right hand, and the motor imagery of the right foot.

12 . The method of claim 10 , wherein the somatosensory stimuli is any one of a somatosensory sensation generated when holding the tangible object and a somatosensory sensation generated when feeling a vibration of the tangible object.

13 . The method of claim 10 , wherein the measuring of the brain signal while the first training is performed includes:

measuring the brain signal while the user moves the body part; and

measuring the brain signal while the user imagines moving the body part.

14 . The method of claim 13 , wherein the measuring of the brain signal while the user moves the body part includes:

adjusting the brain signal of the user to correspond to a resting state;

moving the body part by the user; and

providing a neurofeedback related to the movement of the body part to the user, and

wherein the measuring of the brain signal while the user imagines moving the body part includes:

adjusting the brain signal of the user to correspond to a resting state;

imagining moving the body part by the user; and

providing a neurofeedback related to the imagery to the user.

15 . The method of claim 10 , wherein the measuring of the brain signal while the second training is performed includes:

measuring the brain signal while the user feels the somatosensory stimuli of the tangible object using the body part; and

measuring the brain signal while the user imagines feeling the somatosensory stimuli of the tangible object using the body part.

16 . The method of claim 15 , wherein the measuring of the brain signal while the user feels the somatosensory stimuli of the tangible object using the body part includes:

adjusting the brain signal of the user to correspond to a resting state;

feeling the somatosensory stimuli of the tangible object using the body part by the user; and

providing a neurofeedback related to the imagery to the user, and

wherein the measuring of the brain signal while the user imagines feeling the somatosensory stimuli of the tangible object using the body part includes:

adjusting the brain signal of the user to correspond to a resting state;

imagining that the user feels the somatosensory stimuli of the tangible object using the body part; and

providing a neurofeedback related to the imagery to the user.

17 . The method of claim 10 , wherein, when the first accuracy in which the first brain signal of the user is classified into the plurality of classes is less than a predetermined threshold value, a second accuracy in which the second brain signal of the user is classified into the plurality of classes is higher than the first accuracy.

18 . The method of claim 10 , wherein the performing of the preprocessing includes:

performing a digital filtering on the brain signal;

applying a re-standard method to the brain signal;

performing a downsampling on the brain signal; and

removing artifacts of the brain signal.

19 . A non-transitory computer-readable medium comprising a program code that, when executed by a processor, causes the processor to execute operations of:

measuring a brain signal while a user performs a motor imagery training;

performing preprocessing with respect to the brain signal;

selecting a time period including information related to a motor imagery from the preprocessed brain signal;

calculating feature data corresponding to the brain signal of the selected time period; and

classifying the brain signal into one of a plurality of classes based on the feature data, and

wherein the measuring of the brain signal while the motor imagery training is performed includes:

measuring the brain signal during a first training in which the user imagines moving a body part; and

measuring the brain signal during a second training in which the user imagines feeling a somatosensory stimuli of a tangible object using the body part.

20 . The non-transitory computer-readable medium of claim 19 , wherein, when a first accuracy in which the first brain signal of the user is classified into the plurality of classes is less than a predetermined threshold value, a second accuracy in which the second brain signal of the user is classified into the plurality of classes is higher than the first accuracy.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (21)