Body weight measurement method for health monitor

Abstract

The invention discloses a body weight measurement method for a health monitor. A plurality of pressure sensors are arranged under the bed, and the duration of a measurement period is determined; a long time window is defined, and a steady state is judged through the long time window; When the steady state of the state ends, determine the steady state weight of the user during the steady state according to the value of the instantaneous body weight measured at a certain measurement moment or multiple measurement moments during the steady state; when a measurement period ends, according to the measured The steady state body weight during the one or more steady state periods of the period determines the user's period weight for the measurement period. In the present invention, by judging whether the long time window is a steady state method, the time length of the steady state in the bed state can be calculated, and the steady state body weight of each steady state in the bed state can be obtained; by evaluating the weight of each steady state Reliability, according to the steady-state weight with high reliability, the weight value that can represent the user's actual weight is obtained, and accurate weight data is provided for basic health monitoring.

Description

technical field [0001] The invention relates to the field of basic health monitoring, in particular to a body weight measurement method for a health monitor. Background technique [0002] The accuracy of traditional electronic weighing scales is generally 0.1kg. Under this accuracy, the reading is relatively easy to stabilize. Once stable, the electronic weighing scale can output it to the display screen, and it seems that only one value is read. In fact, with any electronic weighing device, the readings obtained are a sequence, not a single value. Since basic health monitoring needs to obtain high-precision weight data of the user in order to analyze and monitor the health status, a high-precision pressure sensor below 10g is generally used, and the measurement of the pressure sensor is a dynamic process. As long as a certain accuracy is achieved, a slight disturbance will Different readings are generated. Assuming that a measurement is performed every second, different re...

AI Technical Summary

Problems solved by technology

Since basic health monitoring needs to obtain high-precision weight data of the user in order to analyze and monitor the health status, a high-precision pressure sensor below 10g is generally used, and the measurement of the pressure sensor is a dynamic process. As long as a certain accuracy is achieved, a slight disturbance will Different readings are generated. Assuming that a measurement is performed every second, different readings will be generated every second, so that the weight data is difficult to stabilize. For example, the user stays in bed for 8 hours, that is, 8×60×60=28800 seconds Will produce 28,800 weighing readings; making it difficult to judge which weighing data more accurately reflects the user's actual weight

[0003] In addition, the actions of people on the bed, such as: going to bed, getting out of bed, turning over, etc., will have an impact on the readings of the pressure sensor, and there will be large instantaneous fluctuations; some behaviors of the user, such as whether the mobile phone, Glasses, bedding, clothing and the like will also cause disturbances to the readings.

If these effects are not removed, the measured weight value will be greatly distorted

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