Sanyo Electric Co., Ltd.

Hidetaka Sakai

Takeshi Minamiura

Hiroshi Tatsumi

Hideki Nakajima

Yoshihisa Fujiwara

Satoshi Noda

Yoshinori Tanabe

Akira Sakaguchi

Fumiiki Yoneda

Atsushi Ogawa

Yasushi Yamamoto

Hideo Kawakami

Shima Okada

A heart beat/respiration measuring device comprising a sheet-like capacitance-type pressure sensor adapted to be pressed against the human body, and a measuring circuit for measuring a heart rate and/or respiration rate from the output of the sensor. The capacitance-type pressure sensor includes a sheet-like dielectric body elastically deformable in all directions and a pair of conductive clothes with stretchability disposed on opposite sides of the dielectric body. The measuring circuit comprises a resonant circuit wherein the capacitance-type pressure sensor serves as an oscillation capacitor, and a calculation processing circuit for detecting variations in the oscillation frequency of the resonant circuit and calculating the heart rate and/or respiration rate based on the frequency component or components of heart beats and/or respiration included in the variations.

Capacitance-type pressure sensor and heart beat / respiration measuring device using the same

The present invention provides a snore detection device comprising a pressure sensor for detecting vibration generated by the human body with respiration, a sound sensor for detecting sound generated by the human body with respiration, and a judging circuit for judging the occurrence of snoring based on output signals of the two sensors. The judging circuit detects a peak occurrence time in variations generated by the output signal of the pressure sensor and a peak occurrence time in variations generated by the output signal of the sound sensor, to judge whether snoring occurs based on the peak occurrence times, respectively, of vibration and sound.

Method of and device for snore detection

An object of the present invention is to provide a sleep state estimation device capable of estimating a sleep state (deep sleep, light sleep) in real time with relative simplicity. Voltage variations resulting from human respiratory movement are measured for each given period to calculate from the measurement results positive voltage peak values and time intervals between adjacent peaks. The obtained peak values and peak intervals are used to calculate a mean peak interval value A, a coefficient of variation B based on dispersion of the peak intervals, and a coefficient of variation C based on the peak values. The sleep state in this period is estimated from the calculation results. More specifically, referring to FIG., the sleep state is estimated as a 'wakeful state' or a 'hypnagogic state' by checking whether the mean value A is larger or smaller than a threshold a and whether the coefficient of variation C is larger or smaller than a threshold c (S) whereas the sleep state is estimated as the &#x201c;hypnagogic state&#x201d;, &#x201c;light sleep&#x201d; or &#x201c;deep sleep&#x201d; by checking whether the coefficient of variation B is larger or smaller than a threshold b and whether the coefficient of variation C is larger or smaller than the threshold c (S, S, S, S).

Sleep state estimation device and program product for providing a computer with a sleep state estimation function

A heart beat/respiration measuring device comprising a sensor adapted to be pressed against the human body, and a measuring circuit for measuring heart beats and respiration from the output of the sensor. The sensor includes a coil member elastically deformable when subjected to pressure by being pressed against the human body. The measuring circuit comprises an LC oscillation circuit wherein an inductance component and a capacitance component of the coil member serve respectively as a coil L and a capacitor C for oscillation, and a calculation processing circuit for detecting variations in the oscillation frequency of the LC oscillation circuit and calculations of a cardiac cycle, heart rate, respiratory cycle and respiration rate based on the frequency components of heart beats and respiration are included in the variations.

Heart beat/respiration measuring device

To provide an adjustable bed that assists a user to turn comfortably in his or her sleep without mental stress. Once an automatic mode starts, measurement on the depth of sleep of the user lying on the bed is launched. The depth of sleep is measured by detecting biological information such as brain waves, heart rate, and respiratory rate of the user using electrode sensors or the like, and analyzing the biological information according to a polysomnography method or the like. If the depth of sleep is 0, i.e., the user is in REM sleep, and if one hour or more has passed since the measurement is launched or since an immediately preceding turn operation, a turn operation is performed to turn the user.

Adjustable bed

The truth of a paper type to be examined is judged by measuring, with respect to each of true paper types previously prepared, a plurality of types of characteristic amounts by a plurality of types of sensors for each of a plurality of portions for examination previously determined, analyzing principal components on the basis of obtained results of the measurement, to find an equation of straight line corresponding to the predetermined principal component, and producing reference data composed of a value relating to the predetermined principal component for the portion for examination on the basis of the foundation of straight line.

Method for confirming authenticity of sheet

Random components for each characteristic amount of a paper type to be examined are extracted on the basis of characteristic amounts of the paper type which are read from a plurality of portions on the paper type and reference data previously found with respect to the plurality of portions. Dirt components for each of the plurality of portions on the paper type to be examined are presumed on the basis of the extracted random components for each characteristic amount and a predetermined forecast model of the dirt components. The truth of the paper type to be examined is judged on the basis of the presumed dirt components and the extracted random components.

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Katano, Japan

Hidetaka Sakai