Abstract: A biometric information processing device (1) includes a brain wave detecting unit (10), a control unit (20), and a movement assisting unit (30). The brain wave detecting unit (10) 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 (20) 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 (20) determines that the at least one activated state of the brain satisfies a predetermined condition, the movement assisting unit (30) executes a predetermined motion to assist movement of the body part.

Abstract: An electroencephalogram measurement system includes an acquisition unit, a decision unit, and an output unit. The acquisition unit acquires electroencephalogram information representing an electroencephalogram obtained by an electrode unit placed on a region of interest that forms part of a subject's head. The decision unit makes a decision, based on the electroencephalogram information acquired by the acquisition unit, whether or not there are any artifacts. The output unit outputs the decision made by the decision unit.

Abstract: 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.

Abstract: A biometric information processing device (1) includes a brain wave detecting unit (10), a control unit (20), and a movement assisting unit (30). The brain wave detecting unit (10) 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 (20) 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 (20) determines that the at least one activated state of the brain satisfies a predetermined condition, the movement assisting unit (30) executes a predetermined motion to assist movement of the body part.

Abstract: 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.

Abstract: In a threshold estimation apparatus, a setting unit sets an initial intensity value for each electrode. A selection unit randomly selects an electrode. A stimulation unit, via the selected electrode, stimulates a living subject at an intensity set for the electrode. A detection unit detects the presence or absence of a response evoked by the stimulation. An update unit reduces or increases the intensity associated with the selected electrode, based on the presence or absence of the response evoked by the stimulation. An estimation unit, if the thus updated intensity associated with each electrode satisfies a convergence condition, estimates a convergence value as a threshold associated with the electrode. The threshold estimation apparatus repeats these processes until thresholds associated with all electrodes are estimated. If the same electrode was consecutively selected, the time interval between a stimulation and a subsequent stimulation is adjusted.

Abstract: A peg (3) is placed on a peg board (2) by a subject. A detection unit (32) detects a contact state between a peg body (31) and a body portion of the subject. A signal transmission unit (33) transmits a signal indicative of a detection result from the detection unit (32).

Abstract: 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.

Abstract: In a threshold estimation apparatus, a setting unit sets an initial intensity value for each electrode. A selection unit randomly selects an electrode. A stimulation unit, via the selected electrode, stimulates a living subject at an intensity set for the electrode. A detection unit detects the presence or absence of a response evoked by the stimulation. An update unit reduces or increases the intensity associated with the selected electrode, based on the presence or absence of the response evoked by the stimulation. An estimation unit, if the thus updated intensity associated with each electrode satisfies a convergence condition, estimates a convergence value as a threshold associated with the electrode. The threshold estimation apparatus repeats these processes until thresholds associated with all electrodes are estimated. If the same electrode was consecutively selected, the time interval between a stimulation and a subsequent stimulation is adjusted.