Nippon Telegraph and Telephone Corporation

Toray Industries, Inc.

The University of Tokyo

Shingo Tsukada

Hiroshi Nakashima

Nahoko Kasai

Koji Sumitomo

Masanobu Sato

Takayuki Ogasawara

Toru Arakane

Osamu Saisho

Yuri Hamano

Takashi Teshigawara

Yoshitaka Nakamura

Akihiro Yamanaka

Keiji Takeda

Keiichi Torimitsu

Hisashi Kurasawa

Noriko Nagai

Tetsuhiko Teshima

Keitaro Horikawa

Masato Sawada

Toshiya Yamada

Akiyoshi Shimada

Toichiro Goto

Hideo Hatta

Yasuhiro Sato

Hiroshi Koizumi

Takashi Okada

Hiroki Morimura

Masumi Yamaguchi

Kentaro Tanaka

Michiko Seyama

Nobuaki Matsuura

Kei Kuwabara

Takako Ishihara

Emiko Ishikawa

Kazuyoshi Ono

Takahiro Hata

Rieko Sato

Kazuhiko Takagahara

Shoichi Oshima

Ryusuke Kawano

Katsuyoshi Hayashi

Akinori Fujino

Daigoro Yokozeki

Nobuhiko Matsuura

Makoto Nakayama

Tetsuomi Sogawa

Atsunori Mihara

Hiroshi Imamura

Naoki Oda

The present biological electrode includes a conductive fabric () formed of base fibers which are filled with a conductor and/or to which the conductor is adhered, a thin metallic wire () formed into a spiral shape and covered with the conductive fabric () from a side of a distal end in an axis direction, and a filling material () with which a gap between the conductive fabric () and the thin metallic wire () is filled and which supports the conductive fabric () and the thin metallic wire (), and the conductor is electrically connected with the thin metallic wire ().

Biological electrode and cardiac pacemaker

An electromyography processing apparatus includes an electromyography acquiring unit configured to generate electromyography data indicating the time course of an electromyography acquired from an electrode set on a predetermined muscle of an exerciser performing a repetitive exercise, and an evaluation unit configured to calculate and output a reproducibility index indicating the reproducibility of the repetitive exercise from the reproducibility of a transition of the electromyography in the repetitive exercise.

Electromyography processing apparatus, electromyography processing method and electromyography processing program

An elastic wiring includes: an elastic tube; a conductor wire arranged within the tube; and fixing portions that fix the conductor wire and the tube at both ends of the tube in the lengthwise direction, wherein the length of the conductor wire between the fixing portions when the tube is in an unextended state is longer than the length of the tube between the fixing portions.

Elastic wiring and method for producing elastic wiring

A flexible device () includes an insulating substrate (), a source electrode (), a drain electrode (), and an extended gate electrode () formed on a surface of the insulating substrate () at intervals, a channel () arranged at an interval between the source electrode () and the drain electrode (), and a gate dielectric () formed so as to cover all of the channel () and a part of the extended gate electrode (), in which the insulating substrate () is a flexible thin film having light transmissivity, the extended gate electrode () is a carbon material thin film having biocompatibility and light transmissivity, the channel () is an organic semiconductor thin film, and the gate dielectric () is an ionic liquid or an ionic gel.

Flexible device, method for producing flexible device

A position measurement method includes a step of acquiring an image of the surroundings at a self-position, a step of detecting an area in which a circular shape appears in the image, and a step of measuring the self-position based on the aspect ratio of the area.

Position measuring method, driving control method, driving control system, and marker

An electromyography processing apparatus comprises a storage device that stores the electromyography data of the predetermined muscle; and an onset detection unit configured to determine that a portion is an onset portion based on the electromyography of a sliding window for onset detection and a threshold value; wherein the onset detection unit further comprises a threshold value determination unit configured to determine the threshold value based on the electromyography of a sliding window for threshold value detection.

A composite wiring includes: elastic wiring comprising an elastic tube, a conductor wire disposed inside the tube, and fixing portions that fix the conductor wire and the tube together at both ends of the tube in the lengthwise direction thereof, the length of the conductor wire between the fixing portions when the tube is in an unextended state being longer than the length of the tube between the fixing portions; other wiring separate from the elastic wiring; and a connection member that connects the conductor wire of the elastic wiring and a conductor wire of the other wiring by caulking in a state of being brought into contact with each other, the connection member having an interior section sealed in a watertight manner with a sealing material.

Composite wiring, signal acquisition member, and production method of same

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

Device and method for sequential posture identification and autonomic function information acquisition

Provided is a G tolerance improvement device provided with: an estimation unit that estimates either or both of a body fluid volume in the head of a user and a change amount of the body fluid volume; and a pressurization unit that applies pressure to the user on the basis of either or both of the body fluid volume and the change amount estimated by the estimation unit.

G tolerance improvement device and control method

Conductive polymer fibers, in which a conductorcontaining a conductive polymer impregnates and/or adheres to base fibers, and the aforementioned conductive polymer is PEDOT-PSS.

Conductive polymer fibers, method and device for producing conductive polymer fibers, biological electrode, device for measuring biological signals, implantable electrode, and device for measuring biological signals

A composite wiring includes a plurality of pieces of wiring accommodated and gathered together within an elastic sheath, wherein at least one of the pieces of wiring is elastic wiring including an elastic tube, a conductor wire arranged within the tube, and fixing portions for fixing the conductor wire and the tube at both ends of the tube in the lengthwise direction thereof, the length of the conductor wire between the fixing portions when the tube is in an unextended state being longer than the length of the tube between the fixing portions.

Composite wiring, capacitance sensor, multiplexing cable, and wiring for incorporation into element

A foot sole pressure measurement instrument includes a measurement unit which is installed on a foot sole part of a subject and measures a pressure applied to the foot sole part of the subject, and an output unit configured to output data of the measured pressure.

Foot sole pressure measurement instrument, information provision device, and information provision method

An exercise rating and improvement system comprising: a feature amount extraction unit for extracting, from information obtained from a subject, a feature amount about exercise efficiency; an rating unit for rating exercise efficiency of the subject by comparing the extracted feature amount and a feature amount to be compared; and an improvement information providing unit for providing, on the basis of the rating result, information such that the feature amount of the subject approaches the feature amount to be compared.

Exercise evaluation improvement system, and exercise evaluation improvement method

A learning-type signal separation method performed using a model formulation unit, which performs learning processing based on a training-use signal including a specific component, and a training-use signal not including the specific component, the training-use signals including a common characteristic. The learning-type signal separation method includes: generating learned data by causing the model formulation unit to perform learning processing based on the training-use signal and information indicating whether or not the specific component is included in the training-use signal, to generate a data series signal in which the specific component has been separated and removed from a data series of the training-use signal; acquiring an arbitrary signal including the common characteristic; and generating, based on the acquired arbitrary signal and the generated learned data, a data series signal in which the specific component has been separated and removed from a data series of the arbitrary signal.

Learning-type signal separation method and learning-type signal separation device

Growing community of inventors

Atsugi, Japan

Shingo Tsukada