Omron Healthcare Company Ltd.

Omron Corporation

Omron Tateisi Electronics Co.

Toshikazu Shiga

Yoshitake Oshima

Hiroshi Nakajima

Masakazu Tsutsumi

Hironori Sato

Hirotaka Wada

Naoki Tsuchiya

Yuya Ota

Shojiro Oku

Ayako Kokubo

Mitsuo Kuwabara

Keiichi Obayashi

Eriko Kan

Masaaki Kasai

Ken Miyagawa

Toru Uenoyama

Tetsuya Sato

Tatsuya Kobayashi

Manabu Yoshimura

Takehiro Hamaguchi

Nobuo Kubo

Takuji Suzaki

Hiromi Matsumoto

Hiroshi Kanai

Hiromi Kinoshita

A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

Biological information analysis device, biological information analysis system, program, and biological information analysis method

A biological information analysis device including: an indicator extraction unit configured to extract an indicator indicating a cardiac state, from data regarding blood pressure waveforms that are consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat; and a processing unit configured to output the indicator extracted by the indicator extraction unit. The indicator extraction unit is configured to extract a value of a cardiac load indicator for each heartbeat, from the data regarding blood pressure waveforms, and calculate the indicator indicating the cardiac state, based on characteristics related to distribution of values of the cardiac load indicator corresponding to a plurality of heartbeats.

Biological information analysis device, system, and program

A biological information analysis device including: an indicator extraction unit that is configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding blood pressure waveforms corresponding to a period of time in which a change in blood pressure occurs, and extract an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms corresponding to the period of time; and a processing unit that performs processing that is based on the indicator thus extracted.

A visceral fat measurement device includes a first electrode pair and a second electrode pair to be arranged in a body axis direction at a back surface of an abdomen of a subject; a current generation unit for flowing current between electrodes of the first electrode pair; a potential difference detection unit for detecting a potential difference between electrodes of the second electrode pair current is flowed between the electrodes of the first electrode pair; and a visceral fat mass calculation part for calculating visceral fat mass of the subject based on the detected potential difference between the electrodes of the second electrode pair.

Visceral fat measurement device

A body fat measuring device includes at least one pair of first electrodes to be disposed respectively at a first site and a second site sandwiching the abdomen of a subject, and an electrode group including a first abdomen electrode to be disposed at a surface of the abdomen of the subject. The first abdomen electrode includes a pair of second electrodes and a pair of third electrodes disposed in an alignment direction substantially perpendicular to a cross section of the abdomen. In a case where electric current is applied via the first electrodes, a first potential difference between electrodes of one predetermined pair included in the first abdomen electrode is detected. In a case where electric current is applied via the third electrodes, a second potential difference between the second electrodes is detected. Based on the detected two types of potential differences and physical data of the subject, the visceral fat amount of the subject is calculated.

Body fat measuring device capable of accurately measuring visceral fat amount

There are provided a hold portion that can be held in a hand of a subject, a cable having one end connected to the hold portion, and a rest portion on which a foot of the subject can be rested. The rest portion includes a reel portion connected to the other end of the cable for winding the cable, a first detection unit for detecting a draw-out extent to which the cable is drawn out from the reel portion, and a second detection unit for detecting an angle formed by the rest portion and the cable. Based on the detected draw-out extent and angle, the part length of a body part of the subject is calculated.

Body composition measuring apparatus

In a body fat measuring apparatus, a constant electric-current is flowed between hand electric-current electrodes and leg electric-current electrodes. From two detected voltages generated between an annular-shaped voltage electrode placed on an abdominal portion and two voltage electrodes placed at the both sides of a lumbar portion, two abdominal impedances are determined. Two electric-current electrodes and two voltage electrodes are placed such that they are spaced apart by a small interval from one another at an umbilicus portion. A constant electric current is flowed between the two electric-current electrodes and the impedance in the vicinity of the subcutaneous of the abdominal portion is determined from the detected voltage generated between the two voltage electrodes. From the two abdominal impedances, the impedance in the vicinity of the subcutaneous of the abdominal portion, and the input physique information, a viscera impedance is calculated.

Body fat measuring apparatus capable of measuring visceral fat with high accuracy

In an exercise machine, when a measurement starts, an electrocardiographic signal is detected by an electrocardiographic sensor(ST), a load drive is started (ST), and heartbeat rate intervals of the electrocardiographic signal are sequentially obtained. A fluctuation of heartbeat rate intervals PI(n) % is obtained from a calculation formula in which the RR interval RR(n+1) of the current heartbeat is subtracted from the RR interval RR(n) of the previous heartbeat, which is then divided by RR(n) and multiplied by 100% (ST). Entropy is calculated from 128 pieces of such PI (ST). From the change of the entropy under the gradually increasing load (ST), a minimum point of the entropy is obtained, which point is designated as an anaerobic threshold point (ST). The load of the exercise machine is controlled employing this anaerobic threshold.

Exercise machine, physical strength evaluation method and pulse rate meter

In the fat burning value calculating apparatus (), an electrocardiographic signal is detected (-) at the start of exercise, and a heart rate is calculated from the detected value. Further, a power of heart rate variability is calculated, and an AT level is determined from the variability power. Once the AT level is determined, a preset exercise program is executed. A work load during the exercise is detected, and consumed calories are calculated. Thereafter, the electrocardiographic signal during the exercise is detected, the heart rate is calculated from the detected signal, and a fat burning rate during the exercise is calculated. A fat burning amount is calculated from the consumed calories and the fat burning rate, their accumulated values are also calculated, and these values are displayed. As a result, it is possible to provide a fat burning value calculating method and a fat burning value calculating apparatus () which ensure accurate calculation of the fat burning rate and the fat burning amount of an individual during exercise, regardless of increase/decrease of exercise intensity.

Fat combustion value calculating method, fat combustion value calculating device, and exercise machine

In an exercise machine, when a measurement starts, an electrocardiographic signal is detected by an electrocardiographic sensor (ST ), a load drive is started (ST ), and heartbeat rate intervals of the electrocardiographic signal are sequentially obtained. A fluctuation of heartbeat rate intervals PI(n)% is obtained from a calculation formula in which the RR interval RR(n&plus;1) of the current heartbeat is subtracted from the RR interval RR(n) of the previous heartbeat, which is then divided by RR(n) and multiplied by 100% (ST ). Entropy is calculated from 128 pieces of such PI (ST ). From the change of the entropy under the gradually increasing load (ST ), a minimum point of the entropy is obtained, which point is designated as an anaerobic threshold point (ST ). The load of the exercise machine is controlled employing this anaerobic threshold.

Exercise machine, physical strength evaluation method, and pulse rate meter

In order to measure the oxygen saturation in venous blood, a venous blood stream is made time-variant by applying pressure with a peak value of the minimum blood pressure to a proximal portion from a measuring part. Light beams with different wavelengths are transmitted from the measuring part and detected by photodiodes. Photodetected signals are logarithm-converted and venous signal components are separated from logarithm-converted signals with a filter circuit. The oxygen saturation of venous blood is calculated on the basis of separated venous signal components.

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Otsu, Japan

Toshikazu Shiga