Nippon Telegraph and Telephone Corporation

Osamu Saisho

Shingo Tsukada

Kentaro Tanaka

Takashi Okada

Keiichiro Kashiwagi

Tomoyuki Fujino

Yui Saito

Daigoro Yokozeki

Atsunori Mihara

Hiroshi Imamura

Makoto Nakayama

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

A learning method includes a step in which a device acquires a plurality of samples, a step in which the device divides the plurality of samples into a plurality of clusters, a step in which the device extracts samples from each of the plurality of clusters according to an effectiveness of each cluster received from a learning apparatus, a step in which the device transmits the extracted samples to the learning apparatus, a step in which the learning apparatus learns the extracted samples, a step in which the learning apparatus calculates, for each cluster, an effectiveness in learning the samples belonging to a cluster from learning results, and a step in which the learning apparatus transmits the effectiveness of each cluster to the device.

Learning method, device, learning apparatus and program

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.

An analysis device according to the present invention includes a memory, and processing circuitry coupled to the memory and configured to analyze data indicating a biosignal by using a predetermined analysis technique and an updated parameter corresponding to the predetermined analysis technique every time the parameter is updated, control a display to display an analysis result obtained together with an interface capable of changing display modes in response to user's operation, and update the parameter based on change in the display modes for the interface.

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Musashino, Japan

Osamu Saisho