The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 29, 2015

Filed:

Jan. 31, 2011
Applicants:

Etsunori Fujita, Hiroshima, JP;

Yumi Ogura, Hiroshima, JP;

Shinichiro Maeda, Hiroshima, JP;

Naoki Ochiai, Hiroshima, JP;

Shigeki Wagata, Hiroshima, JP;

Inventors:

Etsunori Fujita, Hiroshima, JP;

Yumi Ogura, Hiroshima, JP;

Shinichiro Maeda, Hiroshima, JP;

Naoki Ochiai, Hiroshima, JP;

Shigeki Wagata, Hiroshima, JP;

Assignee:

Delta Tooling Co., Ltd., Hiroshima-shi, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61N 1/00 (2006.01); A61B 5/18 (2006.01); A61B 7/00 (2006.01); A61B 5/11 (2006.01); A61B 5/113 (2006.01);
U.S. Cl.
CPC ...
A61B 5/18 (2013.01); A61B 5/6887 (2013.01); A61B 7/00 (2013.01); A61B 5/1102 (2013.01); A61B 5/113 (2013.01); A61B 5/7239 (2013.01); A61B 2562/0204 (2013.01);
Abstract

A technology to grasp a state of a human being more accurately is provided. The technology is provided with means for acquiring a time-series waveform of a frequency from a time-series waveform of a biological signal sampled from the upper body of a human being and for further acquiring a time-series waveform of frequency slope and a time-series waveform of frequency fluctuation and for applying frequency analysis to them. In the frequency analysis, a power spectrum of each frequency corresponding to a functional adjustment signal, a fatigue reception signal, and an activity adjustment signal, respectively, determined in advance is acquired. Then, a state of a human being is determined from a time-series change of each power spectrum. The fatigue reception signal indicates a degree of progress of fatigue in a usual active state and thus, by comparing it with degrees of predominance of the functional adjustment signal and the activity adjustment signal as their distribution rates, a state of a human being (relaxed state, fatigued state, state in which sympathetic nerve is predominant, a state in which parasympathetic nerve is predominant and the like) can be determined more accurately.


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