SELF-DIRECTED REHABILITATION TRAINING METHOD COMBINING BRAIN SIGNALS AND FUNCTIONAL ELECTROSTIMULATION

• US 20140200632A1
• Filed: 10/09/2013
• Published: 07/17/2014
• Est. Priority Date: 01/11/2013
• Status: Abandoned Application

• Current Assignee: Daegu Gyeongbuk Institute of Science and Technology (Korea Advanced Institute of Science and Technology)
• Original Assignee: Daegu Gyeongbuk Institute of Science and Technology (Korea Advanced Institute of Science and Technology)
• Inventors: AN, Jinung, JIN, Sang Hyeon, LEE, Seung Hyun, MOON, Jeon Il, ABIBULLAEV, Berdakh, AHN, Jae Hyun, JANG, Gwang Hee
• Application Number:
  US14/049,302
• Publication Number:
  US 20140200632A1
• Time in Patent Office: Days
• US Class Current: 607/62
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/375 using biofeedback
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/395 Details of stimulation, e.g. nerve stimulation to elicit EMG response
• CPC Class Codes: A61N 1/36003 of motor muscles, e.g. for walking assistance
• CPC Class Codes: A61N 1/36031 using physiological parameters for adjustment

Abstract

Provided is a self-directed rehabilitation training method for providing rehabilitation exercise to a patient needing requiring the rehabilitation according to a will of the patient, which is a rehabilitation training method for providing rehabilitation intention inducing environment to the patient, measuring the state of the patient, and providing rehabilitation exercise appropriate for the patient. According to the present invention, it is possible for the patient to do the rehabilitation exercise in an active environment by measuring brain signals of the patient to adjust intensity or time of the rehabilitation exercise.

Claims

1. A self-directed rehabilitation training method comprising:

allowing a patient to put a cap having a measurement probe on a scalp of the patient and attaching a patch to a rehabilitation portion of the patient;

providing the patient with a rehabilitation operation screen;

measuring cerebral cortical blood flow and metabolism of the patient using the cap to generate a measured signal;

extracting a feature of the measured signal and classifying rehabilitation intention on the basis of the feature; and

converting the rehabilitation intention into an instruction for presenting stimulation and providing the patient with rehabilitation exercise according to the instruction for presenting stimulation.

2. The self-directed rehabilitation training method of claim 1, wherein the attaching of a patch to a rehabilitation portion of the patient further comprises attaching a patch for electromyogram measurement to a skin portion around the rehabilitation portion.

3. The self-directed rehabilitation training method of claim 1, wherein the providing of the patient with a rehabilitation operation screen comprises providing the patient with the rehabilitation operation screen repeatedly for a predetermined time period.

4. The self-directed rehabilitation training method of claim 1, wherein the measuring of cerebral cortical blood flow and metabolism of the patient comprises measuring the cerebral cortical blood flow and metabolism of the patient using Functional Near Infrared Spectroscopy (fNIRS) through the cap put on the scalp of the patient.

5. The self-directed rehabilitation training method of claim 1, wherein the measuring of cerebral cortical blood flow and metabolism of the patient comprises measuring the cerebral cortical blood flow and metabolism of the patient using Functional Near Infrared Spectroscopy (fNIRS) through the cap put on the scalp of the patient.

6. The self-directed rehabilitation training method of claim 1, wherein the generating of the measured signal comprises generating the measured signal by measuring an oxyhemoglobin concentration and a deoxyhemoglobin concentration on the basis of the blood flow.

7. The self-directed rehabilitation training method of claim 1, wherein the generating of the measured signal comprises removing noise from the measured signal through a preprocessing method and providing the measured signal with the noise removed therefrom when extracting the feature for the rehabilitation intention classification.

8. The self-directed rehabilitation training method of claim 1, wherein the providing of the patient with rehabilitation exercise comprises operating the rehabilitation portion of the patient by applying functional electrostimulation to the patient to the maximum extent in terms of intensity and duration according to the instruction for presenting stimulation.

9. The self-directed rehabilitation training method of claim 8, further comprising measuring a degree of muscle contraction of the patient after applying the functional electrostimulation to the patient, and if the muscle activity exceeds a predetermined value, gradually reducing the intensity and duration of the functional electrostimulation.

10. The self-directed rehabilitation training method of claim 9, further comprising providing the muscle activity to the patient through a screen.