The University of Tokyo

The University of Electro-communications

System Instruments Co., Ltd.

Osaka University

Advanced Telecommunications Research Institute International

Senko Medical Instrument Mfg. Co., Ltd.

University of Fukui

Hiroshi Yokoi

Takeshi Akiba

Ryu Kato

Kazuyuki Hamada

Masayuki Hirata

Masahiro Kihara

Toshiki Yoshimine

Takufumi Yanagisawa

Yukiyasu Kamitani

Tetsu Goto

Tatsuhiro Nakamura

Soichiro Morishita

Norihisa Ichikawa

Osamu Yamamura

Souichi Katsuta

Ryohei Fukuma

Provided is an electrical stimulation device including a first to fourth electrodes, and an electrical stimulation generation section which supplies an electrical stimulation signal to each of the first to fourth electrodes. The electrical stimulation generation section supplies, to the first and second electrodes, an electrical stimulation signal according to a first stimulation pattern, and supplies, to the third and fourth electrodes, an electrical stimulation signal according to a second stimulation pattern. The first stimulation pattern is set so that an electrical stimulation signal for changing stimulation intensity according to a first waveform is supplied to the first electrode, and an electrical stimulation signal for changing stimulation intensity according to a second waveform is supplied to the second electrode, the second waveform being increased and decreased in conjunction with the first waveform. The second stimulation pattern is set so that an electrical stimulation signal for changing stimulation intensity according to a third waveform is supplied to the third electrode, and an electrical stimulation signal for changing stimulation intensity according to a fourth waveform is supplied to the fourth electrode, the fourth waveform being increased and decreased in conjunction with the third waveform. The electrical stimulation generation section alternately performs electrical stimulation of the first stimulation pattern and electrical stimulation of the second stimulation pattern.

Electrical stimulation device, training apparatus, and electrical stimulation method

An air leak detection device is applied to a thoracic cavity drainage system which, by using negative pressure generated by a vacuum source, aspirates gas in the thoracic cavity of a patient via a water seal chamber in which liquid is received. The pressure between the vacuum source and the water seal chamber is measured by a pressure sensor, and the occurrence of air bubbles created in the water seal chamber is detected on the basis of fluctuations of this pressure.

Air leak detection device and electrically powered suction equipment provided therewith

Implementation including a brain activity data acquisition unit configured to acquire data on brain activity of a human body; a generator configured to generate a stimulation signal based on predetermined stimulation parameters or stimulation parameters determined from the data acquired by the brain activity data acquisition unit, the stimulation signal being to be applied, for activity of a specific brain region to be activated in order to move a joint of the human body, to a nerve corresponding to the specific brain region; and an output unit configured to output the stimulation signal generated by the generator.

Stimulation signal generation device and stimulation signal generation method

A training apparatus includes a training machine, a detecting unit, a signal generating unit, and a control unit. The training machine includes a displaceable part that is movable in response to exercise motions performed by the exerciser during training exercise. The detecting unit detects the displacement of the displaceable part or detects the displacement of the target training area of the exerciser resulting from the exercise motions. The signal generating unit generates a stimulus signal to be applied to the exerciser during the training exercise. The control unit corrects a content of processing relating to stimulus signal performed by the signal generating unit based on the displacement detected by the detecting unit.

Training apparatus

A machine control device includes: first decoders for estimating, from brain signal information, which one of body movements a user performs or images, based on learning using pairs of movements performed by the user and brain signal information, the body movements going toward one of first to nth body postures; second decoders for estimating from the brain signal information, an correct rate on the body movement estimation, based on learning using pairs of correct rates of the estimation of body movements and the brain signal information; and electric prosthetic arm control section for controlling an electric prosthetic arm to change stepwise its posture between first to nth postures via at least one intermediate posture therebetween, the first to nth postures corresponding to the first to nth body postures. The first decoders perform the estimation only when the estimated correct rate exceeds a threshold. When the first decoders estimate that the body movements goes toward a body posture different from the current one, the electric prosthetic arm control section changes the posture of the machine by performing a part of substeps of change from one of the first to nth body postures toward the posture associated with the body posture toward which the estimated body movement goes. This configuration allows a user to control a brain-signal-based machine to perform a natural movement without a long-term training and much brain information.

Machine control device, machine system, machine control method, and recording medium storing machine control program

Growing community of inventors

Tokyo, Japan

Hiroshi Yokoi