Abstract: 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.

Abstract: An RRI measurement device includes: an R wave detection unit configured to detect a peak point of an R wave from a sampling data sequence of an electrocardiogram signal of a subject; an R wave detection unit configured to estimate a waveform near the R wave of the electrocardiogram signal on the basis of the peak point of the R wave detected by the R wave detection unit and sampling data of the electrocardiogram signal before and after the peak point and to detect the peak point of the R wave again on the basis of the estimated waveform; and an RRI calculation unit configured to calculate an RRI on the basis of time-series data of the peak point of the R wave detected by the R wave detection unit.

Abstract: An RRI measurement device includes: a feature point detection unit configured to detect a feature point derived from an RS wave from a sampling data sequence of an electrocardiogram signal of a subject; a time estimation unit configured to search for two sampling points where a product of adjacent pieces of sampling data is zero or less in sampling data near the feature point and to estimate a time at which the electrocardiogram signal becomes zero using the two sampling points; and an RRI calculation unit configured to calculate an RRI on the basis of time-series data of the time estimated by the time estimation unit.

Abstract: A garment with electrodes includes a different electrode disposed in the vicinity of a left shoulder of a garment on a lining of a back body of the garment so as to be in contact with an inclined surface of a raised portion of a left shoulder blade of a back of a subject to be measured; an indifferent electrode disposed in the vicinity of a right shoulder of the garment so as to be in contact with an inclined surface of a raised portion of a right shoulder blade of the back of the subject to be measured; a wiring part connected to each of the different electrode and the indifferent electrode; and a controller connected to the wiring part.

Abstract: According to the present disclosure, a heart rate detection method includes measuring an ECG waveform, calculating a heart rate from the ECG waveform, calculating a difference value of a potential of the ECG waveform between sampling time points, calculating an integrated value obtained by integrating the difference value between a measurement time point and any time point before measurement, and determining whether the heart rate at the measurement time point is to be displayed, by comparing the integrated value to a reference value.

Abstract: According to the present disclosure, a heart rate detection method includes measuring an ECG waveform, calculating an R-R interval from the ECG waveform, calculating an instantaneous heart rate from the R-R interval, calculating an index based on the instantaneous heart rate, and determining whether the heart rate obtained from the R-R interval is to be displayed, by comparing the index to a reference value.

Abstract: 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.

Abstract: A heartbeat detection device includes: a sensor data acquisition unit that acquires sensor data indicating an electrocardiographic waveform of a living body and outputs a sampling data sequence D(i) based on the sensor data; a first calculation unit that calculates a temporal difference value DY(i) of sampling data D(i) from the output sampling data sequence D(i) for each sampling time; a determination unit that determines a heartbeat time on the basis of a time at which a change in the calculated temporal difference value DY(i) exceeds a set threshold; a correction unit that corrects the heartbeat time by using a reference time; and a heart rate calculation unit that calculates a heart rate of the living body from the corrected heartbeat time.

Abstract: 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.

Abstract: A heart rate detection device includes a sensor data acquisition device that acquires sensor data indicating an electrocardiogram of a living body to output a sequence of sampling data based on the sensor data, a first calculator that calculates, every sampling time, a time difference value of sampling data, a decision device that decides a heart rate time based on a change in the time difference value calculated by the first calculator exceeds a threshold that is set, a corrector that corrects the heart rate time based on when a cardiac potential becomes zero on a straight line passing through two points of sampling data at the heart rate time decided by the decision device and sampling data immediately before the sampling data at the heart rate time, and a second calculator that calculates a heart rate of the living body from the heart rate time that is corrected.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: There is provided a respiration estimation method. The respiration estimation method includes a first step (S107) 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 (S108) 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 (S109) of executing weighted averaging processing for the plurality of estimated values of the breathing rates obtained in the second step.

Abstract: A heartbeat detection device includes a heartbeat time calculation unit configured to calculate a heartbeat time from a sampling data string of an electrocardiographic waveform, a heart rate calculation unit configured to calculate, for each heartbeat time, a heart rate from the heartbeat time calculated by the heartbeat time calculation unit, and a skip period calculation unit configured to calculate, based on the heart rate calculated by the heart rate calculation unit, a length of a skip period every time the heartbeat time is calculated. If a time difference between a latest time calculated from the sampling data string and an immediately preceding heartbeat time is not longer than the length of the skip period calculated from the immediately preceding heartbeat time, the heartbeat time calculation unit does not adopt, as a heartbeat time, the latest time calculated from the sampling data string.

Abstract: There is provided a respiration estimation apparatus.

Abstract: The fatigue degree estimation device includes: an R-wave detection unit that detects an R-wave from an electrocardiogram waveform of a subject; an R-R interval calculation unit that calculates an R-R interval which is a time interval between the R-wave detected by the R-wave detection unit and an immediately preceding R-wave; a difference calculation unit that calculates a difference between the R-R intervals away from each other by a certain heart rate; a percentage calculation unit that calculates a percentage of an absolute value of the difference between the R-R intervals exceeding a certain value in a target period of fatigue degree estimation; and a fatigue degree estimation unit that estimates a fatigue degree of the subject based on the percentage.

Abstract: There is provided a heartbeat detection device. The heartbeat detection device includes a time difference value calculation unit (3) configured to calculate a time difference value of sampling data of an electrocardiographic waveform, FIFO buffers (4-1, 4-2) configured to receive the time difference value, a FIFO buffer (4-3) configured to receive an output from the FIFO buffer (4-2), a FIFO buffer (4-4) configured to receive an output from the FIFO buffer (4-3), a minimum value detection unit (5) configured to detect, for each sampling time, a minimum value M out of the time difference value stored in the FIFO buffer (4-2) and the time difference value stored in the FIFO buffer (4-4), and a heartbeat time determination unit (6) configured to set, when a difference value M?a between the minimum value M and an output value a of the FIFO buffer (4-1) is equal to or greater than a threshold, sampling time of the output value a as heartbeat time.