Abstract: A muscular volume balance measuring apparatus that measures the balance of the muscular volume in a specific part is provided. At least two sets of current applying, devices for inserting a specific part of the body and applying current to living bodies, or a voltmeter, which measures voltage, are provided. A bioelectricity impedance measuring device which measures bioelectricity impedance of a measured region from applied current and measured voltage is also provided. A muscular volume calculating device which computes muscular volume from measured bioelectricity impedance is also provided. Further, balance of muscular volume of the inserted part is calculated from each set of the computed muscular volume. In addition, there is a feature of being able to expand and contract for the longitudinal width, which is the distance which inserts a specific part, and breadth, which is the distance between current applying device or between the voltmeter.

Abstract: A bioelectricity impedance measuring device includes a contact surface put to one part of the body, gripper, and electrodes of a contact surface. In addition, the bioelectricity impedance measuring device further includes a malnutrition measuring device which measures malnutrition is provided. A malnutrition measuring device measures Phase angle theta and/or a RcXc ratio, and measures a nutrient state. A malnutrition measuring device judges a state of malnutrition from a value of Phase angle theta. It is available to display a judged result with a bar classified by display method by color. In addition, it can have further a muscular volume measuring method which measures muscular volume, and this muscular volume measuring method can measure muscular volume also to a child aged 5 and below or an old man aged 60 and over.

Abstract: A sleep evaluation device 1 is provided with a respiration detection unit 7 that detects changes in respiration and outputs respiration signals. CPU 6 generates six primary parameters indicating sleep states based on the respiration signals and four secondary parameters based on the primary parameters. The secondary parameters are linearly independent of one another. Evaluation unit 20 computes a sleep score indicating the degree of the quality of sleep by multiplying each of the four secondary parameters by second coefficients and totalizing results of the multiplications. Results of the evaluations are displayed on display unit 4.

Abstract: Disclosed is a digital measurement apparatus including data capture means operable to continuously capture digital data about a target measurement item, validity determination means operable to compare the captured data with a reference value so as to determine whether all of the captured data are valid, and measurement-value calculation means operable, when all of the captured data are determined to be valid, to calculate a measurement value in accordance with the valid data, which is characterized by further comprising reference-value change means operable to change the reference value. The digital measurement apparatus of the present invention makes it possible to perform a speedy measurement.

Abstract: Object It is to provide a measured vital data preserving and providing system for healthcare, making it unnecessary to have an independent data base which requires a lot of time and a lot of cost for its preparation, and on the other hand, enabling to construct a unique website for healthcare in a short time and at a low cost. Means for Achieving the Object A data providing side server 30 comprises a measured vital data DB50 composed of measured vital data records including user's IDs and user's measured vital data, and an API library 60 for processing the measured vital data DB50.

Abstract: An abdominal impedance based body composition meter is provided for estimating a body composition indicator with high accuracy. In one embodiment, the body composition meter measures pressing forces while load detection sections 3a-3d are pressed against the abdomen and abdominal impedances are measured by electrodes 2a-2d. Body composition indicators are estimated based on the measured pressing forces and the abdominal impedances.