Keio University

Tokai University Educational System

Lifescapes Inc.

Juntendo Educational Foundation

Junichi Ushiba

Toshiyuki Fujiwara

Koji Morikawa

Katsuhiro Mizuno

Teruhisa Okuya

Mikio Iwakawa

Miho Hiramoto

Yoshihisa Masakado

Fumio Liu

Atsuko Nishimoto

Meigen Liu

Kenichi Takasaki

Kohei Okuyama

An electroencephalogram decision system determines, when finding electroencephalogram information representing an electroencephalogram obtained by an electrode unit placed on a region of interest that forms part of a subject's head satisfying a predetermined condition, that a target electroencephalogram, which is an electroencephalogram with a characteristic variation, should have been produced. The predetermined condition is selected from of detection conditions including a first type of condition and a second type of condition. The first type of condition specifies that a decision should be made, based on a component falling within a single frequency band included in the electroencephalogram represented by the electroencephalogram information, whether or not the target electroencephalogram has been produced. The second type of condition specifies that a decision should be made, based on components falling within multiple different frequency bands included in the electroencephalogram represented by the electroencephalogram information, whether or not the target electroencephalogram has been produced.

Electroencephalogram decision system, electroencephalogram decision method, program, and non-transitory storage medium

A biometric information processing device () includes a brain wave detecting unit (), a control unit (), and a movement assisting unit (). The brain wave detecting unit () detects biometric information in at least one brain region from among a plurality of brain regions that are selectable in accordance with a body part that is a target of function recovery or function improvement. The control unit () determines, based on the detected biometric information, at least one activity state in the brain including the location of the brain region(s) that is (are) activated in a subject while attempting to move the body part, and an activation level of such activated brain region(s). When the control unit () determines that the at least one activated state of the brain satisfies a predetermined condition, the movement assisting unit () executes a predetermined motion to assist movement of the body part.

Biometric information processing device, biometric information processing method and program

In order to make advanced gait training easy and effective, an electrical spinal cord stimulator for gait training used in gait training for those who have difficulty in walking due to hemiplegia includes: first and second electrodes attached to a rehabilitant; a detector which detects a gait-related physical movement of the rehabilitant; and an electrical sensory nerve stimulation generator which generates, according to a detection result of the detector, electrical stimulation to be applied through the first and second electrodes to a nerve root of a sensory nerve which communicates with a spinal cord.

Spinal cord stimulation device for gait training

Growing community of inventors

Yokohama, Japan

Junichi Ushiba