Nippon Telegraph and Telephone Corporation

Ntt Corporation

Kei Kuwabara

Nobuaki Matsuura

Takayuki Ogasawara

Yuki Hashimoto

Takako Ishihara

Hiroshi Koizumi

Ryoichi Kasahara

Yuichi Higuchi

Toshiki Wada

Hiroto Matsuoka

Akio Tokura

Kazuhiko Takagahara

Ryusuke Kawano

Hiroyoshi Togo

Tetsuo Takahashi

Kenichi Matsunaga

Yasuhiro Sato

Kenya Suzuki

Shingo Tsukada

Michiko Seyama

Osamu Moriwaki

Mitsumasa Nakajima

Yuzo Ishii

Yuichiro Ikuma

Koji Fujii

Naoki Ooba

Nahoko Kasai

Kazuyoshi Ono

Takuro Tajima

Rieko Sato

Koji Sumitomo

Takurou Tajima

A wearable sensor includes: a base member that has a through hole serving as a flow path of liquid and a recess connecting with an end portion of the through hole on an outlet side; a water absorbing structure disposed on a surface of the base member on the outlet side to come into contact with the liquid flowing into the recess from an opening of the through hole on the outlet side; a laser diode that radiates light toward the liquid flowing into the recess from the opening of the through hole on the outlet side; and a photodiode that receives light from the laser diode transmitted through the liquid or light reflected by the liquid. An amount of perspiration of a wearer of the wearable sensor is calculated based on light receiving characteristics of the photodiode.

Wearable sensor, perspiration analysis device and method

A wearable sensor device includes a temperature and humidity sensor that measures ambient environmental information around a living body, a snap button connected to a bioelectrode, a biological information measurement unit that measures biological information, an inertial sensor that measures inertial information, a calculation unit that calculates a biological feature amount based on the biological information and calculates an inertial feature amount based on the inertial information, and a wireless communication unit that transmits the biological information, the inertial information, the biological feature amount, the inertial feature amount, and the environmental information to the outside.

Wearable sensor device

A wearable environmental sensor device includes a temperature/humidity sensor disposed on a wall surface of a housing that is exposed to an environment and configured to measure ambient environmental information around a living body, and a protective structure formed around the temperature/humidity sensor. The temperature/humidity sensor is disposed, directly or via a support structure, on or over the wall surface of the housing, wherein the wall surface faces substantially downward from the living body when the wearable environmental sensor device is attached to the living body and the living body is in a standing posture. The protective structure has respective ventilation holes provided in two or more pairs of opposed surfaces thereof each facing in a direction other than a vertical direction of the living body when the wearable environmental sensor device is attached to the living body and the living body is in the standing posture.

Wearable environmental sensor device and monitoring system

A wearable sensor device includes a temperature and humidity sensor that measures ambient environmental information around a living body. The temperature and humidity sensor is provided on an outer wall surface of a housing or provided to be separated from the outer wall surface. The outer wall surface of the housing faces a left or right side or diagonally downward when the wearable sensor device is attached to the living body and the living body is in a standing posture.

Wearable sensor device and monitoring system

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 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

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.

An optical signal processing device with a transponder aggregator function by which theoretical loss is not increased even if the number of necessary transponders is increased. Optical signals inputted from input ports are inputted to a PLC. The PLC has SBTs. The input ports are connected to the input-end SBT, and a plane wave is outputted from an output end of the PLC to the space side at an angle different for each input port. Optical signals outputted by the PLC are changed in their optical paths on the x-z plane by a cylindrical lens (Lsp) designed to refract optical signals in the x-axis direction, and are reflected by an LCOS at different regions corresponding to the positions of the input port. The reflected optical signals are incident on the output-end SBTs on the PLC, and are outputted to output ports via demultiplex parts.

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Tokyo, Japan

Kei Kuwabara