Abstract: An apparatus for assessing muscle quality includes a first acquisition unit that acquires bioelectric information including at least one of (i) a resistance component and a reactance component of bioelectrical impedance and (ii) first impedance measured by supplying alternating current at a predetermined low frequency to a living organism and second impedance measured by supplying alternating current at a predetermined high frequency to the living organism; a second acquisition unit that acquires a physical parameter related to physique of the living organism; and a calculation unit that calculates an index in accordance with a proportion, in muscle tissue, of muscle fiber to interstitial tissue based on the physical parameter and on at least one of a first parameter represented as a ratio between the resistance component and the reactance component and a second parameter represented as a ratio between the first impedance and the second impedance.
Abstract: A control unit of a body composition meter (an information processing device) obtains measurement information on a measurement habit when a user measures body information of himself/herself. The control unit determines a level of awareness of the user for health of himself/herself using the measurement information. The control unit notifies the user of information on health according to the level of health awareness.
Abstract: The invention provides a physical change evaluation device, method, and program capable of easily evaluating physical change from the past to the present, and from the present into the future. A physical change evaluation device 10 acquires a ketone concentration measurement measuring ketone excreted from a user, acquires physical data relating to the body of the user, evaluates physical change in the user based on the acquired ketone concentration measurement and the physical data, and outputs an evaluation result.
Abstract: An information processing device includes a controller programmed to obtain life habit information on a life habit of a user, compute an element index regarding fatigue accumulation of the user in accordance with the life habit information obtained, and determine whether an improvement in living activity of the user is required or not on the basis of the element index computed.
Abstract: A control unit of a body composition meter (an information processing device) obtains measurement information on a measurement habit when a user measures body information of himself/herself. The control unit determines a level of awareness of the user for health of himself/herself using the measurement information. The control unit notifies the user of information on health according to the level of health awareness.
Abstract: A body composition change prediction device acquires a measured acetone concentration measuring acetone excreted from a user, acquires current body composition information and past body composition information of the user, computes a prediction value predicting the body composition information at a given future point in time based on information relating to the body composition of the user, and determines a fat burning style of the user based on the acetone concentration and the current body composition information. The body composition change prediction device weights the prediction value based on a weight, the weight being set according to the burning style and being a greater weight the higher the measured ketone body concentration, and outputs information according to the weighted prediction value.
Abstract: An acetone concentration estimate device acquires a measured acetone concentration measuring acetone excreted from a user, acquires an elapsed time which has elapsed since the user ate a meal, and estimates an acetone concentration, which is a ketone body concentration of when an amount of change in blood sugar level of the user per given unit of time is stable, based on the acquired current measured acetone concentration and on the acquired elapsed time, and outputs information corresponding to the estimated acetone concentration.
Abstract: A biological gas detection device acquires a reference output value that is an output value outputted from a semiconductor gas sensor in a reference air sample, the semiconductor gas sensor having sensitivity to an interfering gas and a target gas contained in a biological gas, acquires a target gas concentration that is a concentration of the target gas measured based on a first output value, the first output value being outputted from the semiconductor gas sensor during measurement of the biological gas, corrects the target gas concentration based on a second output value and the reference output value, the second output value being outputted from the semiconductor gas sensor in an air sample prior to measurement of the biological gas; and outputs information according to the corrected target gas concentration.
Abstract: A measuring device comprises: a first housing having at least one measuring electrode; a second housing connected to the first housing and housing a substrate which has at least one terminal and includes a circuit that conducts a measurement process; and at least one connecting member disposed between the first housing and the second housing. The at least one connecting member is formed of a unitary member. One end of the at least one connecting member is connected to the at least one terminal, while the other end of the at least one connecting member is in contact with the at least one measuring electrode due to an elastic force of the at least one connecting member itself.
Abstract: A biological information processing device includes a controller programmed to obtain biological information indicating a body condition, and associate different kinds of the biological information with respective specific graphical elements. Each of the specific graphical elements is same kind of element that constitutes an appearance of a graphical figure. The controller is further programmed to set value to the specific graphical element depending on degree of the biological information for the at least one specific graphical element associated with the obtained biological information, and generate indicating data of a biological figure that is an aggregate of the specific graphical elements on the basis of the set value.
Abstract: A safe driving management system comprises: a sleep data measurement device; a sleep shortage determination device; and a user identification information input device, wherein the sleep shortage determination device has a sleep shortage determination unit configured to compare sleep data of a case where a driver's sleep is sufficient and acquired data within predetermined duration containing identical data to the sleep data measured within the predetermined duration in the past from when the driver boards a vehicle to start driving, and to determine that the driver is in sleep shortage, when a difference between the sleep data and the acquired data within the predetermined duration is equal or greater than a predetermined difference.
Abstract: A gas measurement apparatus of the present invention includes a gas sensor and is capable of being in any one of an open state in which the gas sensor is connected to an outside air and a closed state in which the gas sensor is cut off from an outside air. The gas measurement apparatus includes: an acquisition unit; and a determination unit. The acquisition unit acquires a detection value of the gas sensor in the open state and a detection value of the gas sensor in the closed state. The determination unit compares the detection value of the gas sensor acquired in the open state and the detection value of the gas sensor acquired in the closed state to thereby determine the state of the gas sensor.
Abstract: To provide a motor function evaluation device and a motor function evaluation method capable of evaluating a motor function of a subject comprehensively and easily. A motor function evaluation device 1 of the present invention includes a measurement base 11, a load measurement unit 14 that measures load change over time of the subject applied to the measurement base 11, and an arithmetic unit 24 that determines a balance ability indicator of the subject determined by the load change over time measured by the load measurement unit 14. The arithmetic unit 24 determines the balance ability indicator from a time interval from when the subject stands up and the load applied to the load measurement unit 14 is maximized until when the load variation is stabilized.
Abstract: An image forming apparatus includes a reading unit that reads data stored in an activity amount meter, at least one of an image forming unit that forms an image on a recording medium and an image reading unit that reads the image, a display unit that displays an option to be selected such that the display unit receives a use instruction of a function that is selected, and a sending unit that sends the data stored in the activity amount meter and read by the reading unit. The display unit receives the use instruction even when the sending unit is sending the data stored in the activity amount meter and read by the reading unit.
Abstract: A balance ability measurement apparatus acquires load information on weight of a user as measured during a period of a stand-up movement which is a period of time from when the user starts the stand-up movement to when the user stabilizes standing posture. Based on the load information, the balance ability measurement apparatus calculates load change information on change in the weight of the user. Further, based on the load information, the balance ability measurement apparatus calculates left-right displacement information on displacement of the user in left-right direction. Based on the load change information and the left-right displacement information, the balance ability measurement apparatus calculates a balance ability evaluation value on balance ability of the user.
Abstract: A scale includes a load detection unit detecting a load to a placing unit, a storage unit storing a zero point in advance, a calculation/control unit calculating a load calculation value using a load signal corresponding to the load to the placing unit, based on an output of the load detection unit, and a display unit displaying the load calculation value. When a load is applied to the placing unit, the calculation/control unit calculates a loading state load calculation value based on the load signal in a loading state and the zero point of the storage unit. Subsequently, when the load is removed from the placing unit in a non-loading state, the calculation/control unit calculates a non-loading state load calculation value based on load signals in the loading and non-loading states, and displays the non-loading state load calculation value on the display unit.
Abstract: A safe driving management system comprises: a sleep data measurement device; a sleep shortage determination device; and a user identification information input device, wherein the sleep shortage determination device has a sleep shortage determination unit configured to compare sleep data of a case where a driver's sleep is sufficient and acquired data within predetermined duration containing identical data to the sleep data measured within the predetermined duration in the past from when the driver boards a vehicle to start driving, and to determine that the driver is in sleep shortage, when a difference between the sleep data and the acquired data within the predetermined duration is equal or greater than a predetermined difference.
Abstract: A muscle condition change determination apparatus includes a circuit. The circuit configures: a change information acquisition unit; and a type determination unit. The change information acquisition unit acquires change information indicating changes in a plurality of muscle indicators. The type determination unit determines the type of change in a muscle condition according to the change information.
Abstract: An energy consumption estimator includes a body motion sensor, a first calculation unit, an acquisition unit, and a second calculation unit. The body motion sensor detects body motion by a user. Based on the body motion detected by the body motion sensor, the first calculation unit calculates the user's total energy consumption. The acquisition unit acquires the user's energy consumption derived from fats and lipids. Based on the energy consumption derived from fats and lipids and on the total energy consumption, the second calculation unit calculates the user's total energy derived from carbohydrates.