Nippon Telegraph and Telephone Corporation

Ntt Electronics Corporation

Nobuaki Matsuura

Kei Kuwabara

Takayuki Ogasawara

Hiroshi Koizumi

Ryoichi Kasahara

Kazuhiko Takagahara

Ryusuke Kawano

Yuki Hashimoto

Hisashi Kojima

Tsutomu Horiuchi

Takako Ishihara

Yuichi Higuchi

Yuzuru Iwasaki

Hiroyoshi Togo

Ichiro Inoue

Shigeo Urushidani

Michihiro Aoki

Emi Tamechika

Katsuyoshi Hayashi

Takashi Miyamura

Takashi Kurimoto

Tomonori Takeda

Suzuyo Inoue

Keisuke Kabashima

Yasuhiro Sato

Eiji Oki

Naoaki Yamanaka

Shingo Tsukada

Michiko Seyama

Wataru Imajuku

Yuzo Ishii

Etsu Hashimoto

Toshiki Nishizawa

Koji Fujii

Yuji Mitsuhashi

Koichi Hadama

Nahoko Kasai

Takuro Tajima

Hiroto Matsuoka

Kazuyoshi Ono

Mitsuo Usui

Rieko Sato

Koji Sumitomo

Tohru Matsuura

Kaori Shimizu

Masahiro Goshima

Takurou Tajima

A wearable device includes a sensor device and a clothes to which the sensor device is attached. The clothes includes a clothes body and an insertion and extraction portion that has an opening formed in the clothes body and enables the sensor device to be inserted into or extracted from the clothes body. The sensor device includes a humidity sensor configured to measure humidity in the clothes body and a housing having a first region exposed to an inside of the clothes body and a second region exposed to an outside of the clothes body, while the sensor device is inserted from the insertion and extraction portion into the clothes body. The humidity sensor is accommodated in the first region of the housing.

Wearable device, and sensor device

A measurement control apparatus includes a sensor data acquisition unit configured to acquire biological information of a user measured by a sensor, an extraction unit configured to extract a feature quantity with periodicity from the biological information acquired by the sensor data acquisition unit, an interval acquisition unit configured to acquire a period of the extracted feature quantity, a determination unit configured to determine whether or not the feature quantity will have appeared by a set end time on the basis of the acquired period of the feature quantity, and a termination processing unit configured to terminate an operation of the sensor data acquisition unit when the determination unit determines that the feature quantity will not have appeared by the set end time.

Measurement control apparatus and measurement control method

A method includes a first acquisition step of acquiring exercise intensity of exercise done by a target person, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating an AT of the target person based on a relationship between the predetermined feature amount and the acquired exercise intensity. The estimation step includes a step of estimating the AT of the target person based on exercise intensity corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired exercise intensity.

Anaerobic threshold estimation method and device

A first calculation unit calculates the heart rate of a subject from a plurality of instantaneous heart rates by averaging processing with an IIR filter using a first coefficient. Note that the first coefficient is a numerical value less than 1, and is a fixed value. A second calculation unit calculates the heart rate of the subject from the plurality of instantaneous heart rates by averaging processing with an IIR filter using a second coefficient. The second coefficient is a numerical value less than 1, and is a variable value. A switching unit switches between the first calculation unit and the second calculation unit based on a difference between the precedingly calculated heart rate and a latest instantaneous heart rate.

Heartbeat rate calculation device and method

An exercise intensity estimation apparatus includes an RS wave calculation unit configured to calculate an RS amplitude from a peak value of an R wave to a peak value of an S wave in an ECG waveform of a target person, a T wave calculation unit configured to calculate an amplitude of a T wave of the ECG waveform, a heart rate calculation unit configured to calculate a heart rate from the ECG waveform, an index calculation unit configured to calculate, as a first index indicating exercise intensity of the target person, the amplitude of the T wave normalized by the RS amplitude, and an index calculation unit configured to calculate, as a second index indicating the exercise intensity of the target person, a value obtained by multiplying the first index by the heart rate.

Exercise intensity estimation method, exercise intensity estimation device, and program

A heartbeat detection device including a time difference value calculation unit to calculate a time difference value from a sampling data string of an electrocardiographic waveform of a living body, an index value calculation unit to calculate an index value for heartbeat detection based on the time difference value, a threshold setting unit to determine whether a peak of the index value exceeding a threshold can be detected, to calculate, a threshold candidate based on an average value of the predetermined number of the most recent peaks among these peaks. A threshold candidate is set as a new threshold when the threshold candidate has a value equal to or less than a threshold limit value. A heartbeat time determination unit sets the sampling time of the peak as the heartbeat time when the peak of the index value exceeding the threshold is detected.

Heartbeat detection method and heartbeat detection device

There is provided a respiration estimation method. The respiration estimation method includes a first step (S) of estimating a breathing rate of a subject based on each of a time-series signal of first data relating to a cardiac function of the subject and a time-series signal of second data relating to an acceleration by a respiratory motion of the subject, a second step (S) of estimating a breathing rate obtained by filtering noise using a Kalman filter for each of the breathing rate estimated based on the first data and the breathing rate estimated based on the second data, and a third step (S) of executing weighted averaging processing for the plurality of estimated values of the breathing rates obtained in the second step.

Respiration estimation method and apparatus

There is provided a respiration estimation apparatus. The respiration estimation apparatus includes an R-wave amplitude detection unit () configured to detect an amplitude of an R wave from a cardiac potential waveform of a subject, an R-R interval detection unit () configured to detect an R-R interval as an interval between an R wave and an immediately preceding R wave from the cardiac potential waveform, an acceleration displacement detection unit () configured to detect an angular displacement of an acceleration vector from a triaxial acceleration signal by a respiratory motion of the subject, a Fourier transform unit () configured to Fourier-transform each of time-series signals of the R-wave amplitude, the R-R interval, and the angular displacement to obtain a frequency spectrum of each of the signals of the R-wave amplitude, the R-R interval, and the angular displacement, and a signal selection unit () configured to extract a frequency as a candidate of a respiration frequency of the subject from each of the frequency spectrum of the R-wave amplitude, the frequency spectrum of the R-R interval, and the frequency spectrum of the angular displacement, and select best data from the frequencies as the respiration frequency of the subject.

There is provided a heartbeat detection device. The heartbeat detection device includes a time difference value calculation unit () configured to calculate a time difference value of sampling data of an electrocardiographic waveform, FIFO buffers (--) configured to receive the time difference value, a FIFO buffer (-) configured to receive an output from the FIFO buffer (-), a FIFO buffer (-) configured to receive an output from the FIFO buffer (-), a minimum value detection unit () configured to detect, for each sampling time, a minimum value M out of the time difference value stored in the FIFO buffer (-) and the time difference value stored in the FIFO buffer (-), and a heartbeat time determination unit () configured to set, when a difference value M&#x2212;a between the minimum value M and an output value a of the FIFO buffer (-) is equal to or greater than a threshold, sampling time of the output value a as heartbeat time.

There is provided a biological signal processing apparatus. The biological signal processing apparatus includes a biological signal extraction unit () configured to extract a biological signal from an electrocardiographic waveform measured by an electrocardiograph (), an averaging processing unit () configured to calculate averaged data using time-series data of the biological signals extracted by the biological signal extraction unit (), an abnormal value determination unit () configured to determine, for each data, whether the data of the biological signal extracted by the biological signal extraction unit () is appropriate, based on the averaged data calculated using the data of the biological signals that have occurred before the data, and an abnormal value processing unit () configured to perform one of deletion and interpolation of the data of the biological signal determined to be inappropriate by the abnormal value determination unit ().

Biological signal processing method and biological signal processing apparatus

In a biological signal measurement system of this invention, biological digital data is generated from a biological signal measured by a biological signal measurement apparatus, and first feature amount data extracted from the biological digital data and downsized biological digital data are transmitted to a portable terminal. In a biological information measurement apparatus of this invention, biological feature amount data is extracted from measured biological waveform data, and at least one of the biological waveform data and the biological feature amount data is transmitted to an external device. It is possible to provide a biological signal measurement system capable of continuously measuring a biological signal for a long time without disturbing daily life and provide a biological information measurement apparatus capable of implementing downsizing and long life of a battery.

Biological signal measurement system, biological information measurement apparatus, and biological information extraction algorithm changing method

A heartbeat detection device includes a peak search unit () for searching for one of a peak at which a value M obtained from a sampling data sequence of an electrocardiographic waveform of a living body changes from an increase to a decrease and a peak at which the value M changes from a decrease to an increase, and a heartbeat time determination unit () for checking the value M in a predetermined time domain before a time of the peak and the value M in a predetermined time domain after the time of the peak, and setting the time of the peak as a heartbeat time if differences between the value M at the time of the peak and the values M in the predetermined time domains are not smaller than a predetermined amount.

A heartbeat detection device includes a difference value calculation unit () for calculating, from a sampling data sequence of an electrocardiographic waveform of a living body, one of an amount of change and a degree of change of sampling data for each sampling time, a multiplication unit () for calculating, for each sampling time, a product by multiplying one of an amount of change and a degree of change of the sampling data at a time K by one of the sampling data at the time K and sampling data at a time before the time K by a predetermined time t, a peak detection unit () for detecting a peak of the product, and a heartbeat time determination unit () for setting time of the peak of the product as a heartbeat time.

In step S, a specimen containing blood plasma and a coagulation activating agent are introduced into a flow channel, with the coagulation activating agent being positioned ahead, in a state in which portions arrayed in series in the extending direction of the flow channel flow in contact with each other. In step S, in the process in which the coagulation activating agent, the contact region between the coagulation activating agent and the specimen, and the specimen pass through a measurement portion provided midway along the flow channel in the order named, the refractive indices of the coagulation activating agent and the contact region are measured in a time-series manner. In step S, the blood coagulation ability of the specimen is measured by comparing the first refractive index value which is the refractive index of the coagulation activating agent with the second refractive index value which is the minimum refractive index of the contact region.

Blood coagulation test method

A flow cell () includes a plate-shaped bodythat is almost rectangular in a plan view, an introduction portion () that is made of a concave portion formed in the upper surface of the body (), a channel () that is formed inside the body () and has one end connected to the lower end of the introduction portion (), and a delivery portion () that is made of a concave portion formed in the body () and has the lower end connected to the other end of the channel (). The introduction portion () is formed to cause the meniscus of a liquid introduced from an opening to apply, to the liquid, a positive pressure or a negative pressure whose absolute value is smaller than that of a negative pressure applied to the liquid introduced into the channel () by the meniscus of the liquid. The channel () is formed to cause the meniscus of the liquid introduced into the channel () to apply a negative pressure to the liquid. This invention provides a flow cell and a liquid feed system capable of more easily controlling feed of a trace amount of liquid.

Flow cell and liquid feed system

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Tokyo, Japan

Nobuaki Matsuura