Omron Corporation

Omron Healthcare Company Ltd.

Keiichi Obayashi

Hirotaka Wada

Ayako Kokubo

Ken Miyagawa

Eriko Kan

Masaaki Kasai

Hiroshi Nakajima

Masakazu Tsutsumi

Hironori Sato

Naoki Tsuchiya

Yuya Ota

Toshikazu Shiga

Mitsuo Kuwabara

Toru Uenoyama

Hiroshi Koshimizu

Sho Nagayoshi

Seitaro Mura

Taisuke Nomura

This habit improving device is provided with: a first calculation unit which, for every first period, acquires an activity amount of the user totaled for each first period, and which calculates a distribution pattern that indicates the change over time in the activity amount during a second period, which includes a first period; a sorting unit which classifies multiple of the distribution patterns into one or more groups; a second calculation unit which, on the basis of attribute information relating to the user's attributes, and external factor information relating to external factors, which are factors affecting the user by matters outside of the user, calculates, and associates with the groups, a target pattern as a target for the user; and a presenting unit which presents advice information to the user on the basis of the current distribution pattern and the target pattern.

Habit improving device, method and recording medium

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 goal management system receives input of a qualitative first goal related to a body of a user (step S), identifies a quantitative second goal related to the body of the user from the first goal thus received (step Sto step S), and presents the second goal thus identified (step S). The first goal is converted into the quantitative goal for at least one of a plurality of feature amounts related to the body, thereby identifying the second goal including at least one goal obtained by such conversion. The first goal is converted into the quantitative goal for each feature amount corresponding to a meaning obtained by linguistic analysis. When there are a plurality of meanings obtained by linguistic analysis of the first goal, the first goal is converted into the quantitative goal for each feature amount on the basis of a range of each feature amount per meaning. This makes it possible to indicate a quantitative goal related to the body without receiving input of a goal that is a quantitative numerical value related to the body.

Goal management system and non-transitory computer-readable storage medium storing goal management program

Whether intervention is necessary is assessed due to an occurrence of a divergence of a current value of a predetermined index from a route corresponding to a transition in value of the predetermined index to a target value of the predetermined index for reaching a target relating to a body of a user (steps Sto S), and, when intervention is assessed to be necessary, using an intervention result per each of persons intervening relating to a target index stored in a storage unit, a person with a high contribution toward reaching the target from among persons intervening for the user is determined (steps Sand S), and processing for prompting the determined person for intervention is executed (step S). A timing with a high contribution is determined using an intervention result stored in the storage unit that further stores intervention results per each intervention timing relating to a target index. Processing for prompting the person intervening for intervention at the determined timing is executed. This can effectively prompt the user to improve to reach a target relating to the body.

Target management system and transitory recording medium comprising target management program

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 blood pressure measurement apparatus includes a measuring device that includes a plurality of pressure sensors and is for measuring blood pressure information for each heartbeat in a measurement target, and an arrangement state inferring unit for extracting a feature quantity from an output waveform of each of the pressure sensors for each heartbeat, and inferring an arrangement state of the measuring means relative to an artery that is the measurement target based on a distribution profile of values of the feature quantity for the plurality of pressure sensors. The apparatus also includes a reliability calculating unit for calculating a reliability of the blood pressure information measured by the measuring means, based on the inferred arrangement state.

Blood pressure measurement apparatus, method of controlling blood pressure measurement apparatus, 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 causal relationship is represented with a data structure including target identification information for identifying a target, index identification information of each of indexes to be used for quantitatively describing an event that occurs to the target, and causal relationship information for each pair of two indexes selected from the indexes. The causal relationship information includes direction information representing which one of the two indexes is a cause index and which one is an effect index, strength information representing a causal strength between the cause index and the effect index, time information representing a delay time for propagation of an influence of the cause index to the effect index, and correlation information representing a direction of change in the effect index with respect to an increase or decrease in the cause index.

Growing community of inventors

Tokyo, Japan

Keiichi Obayashi