METHOD OF MONITORING ENERGY CONSUMPTION OF AN INDIVIDUAL IN AN INFORMATION
SYSTEM
TECHNICAL FIELD
This invention belongs among the methods and devices used for monitoring the energy consumption of an individual.
STATE OF THE ART
Various methods and devices for monitoring human energy consumption are known in practice. Diet and physical effort planning decisions are made for the individual based on the monitoring results.
Patent No. US6719667 describes a belt training device equipped with electronic scales that monitor the change of the individual's weight, and the device calculates the amount of energy spent using the installed software. The results are displayed on the screen.
Patent No. US7285090 describes a device monitoring the ratio of the energy spent and assimilated by an individual using sensors attached to the individual's body.
The information is wirelessly transmitted from the sensors to an electronic device where the information is processed by the software installed in the device.
Information on the food consumed is entered in the device and the amount of assimilated energy is determined based on this information. The ratio of spent and assimilated energy is determined by processing the total information entered.
Patent application No. US20060253010 describes a sports watch that enables measuring of the energy spent by the user by using an indirect method, based mainly on the heart rate, weight and age of the user.
Patent No. US6506152 describes a method that first calculates the predicted body fat percentage change on the basis of calories consumed from food and calories spent, and after that calculates the energy balance correction factor based on the actual and predicted change of body fat percentage.
Patent application No. US20020193702 describes calculation of the body fat percentage based on a bioimpedance measurement and the individual's individual data, setting the desired body fat percentage as a goal, determining the amount of calories to be spent based on the actual body fat percentage and the body fat percentage set as the goal, and determining the exercising activity required to achieve it.
The drawback of all the abovementioned solutions is the fact that the energy consumption of an individual, and the loss of body fat mass or percentage resulting from that, is determined indirectly based on the amount of energy (calories) consumed and spent, by applying the so-called Harris-Benedict formula, and the results obtained may differ from the actual results. These so-called calorimetric methods also require monitoring of the amount of energy (calories) consumed and spent.
Scales capable of determining the body fat mass and percentage are known, indicating the change of body fat mass and percentage based on two consecutive measurements (e.g. Body Signal scales from the TEFAL brand). The scales can easily give faulty results on the basis of two consecutive measurements - a positive result (decrease of body fat amount) is indicated based on a single change, but at the same time the trend of body fat accumulation continues.
DESCRIPTION OF THE INVENTION
The purpose of this invention is to provide a method for monitoring the energy consumption of an individual, which includes determination of the energy balance trend and fat metabolism direction based on the measurement of body fat mass (or percentage) performed at more than two consecutive moments of time.
To achieve the purpose of this invention the individual's energy balance (i.e. the difference between consumed and spent energy) is determined by the information system based on changes of body fat mass or percentage. The energy balance trend is determined on the basis of energy balance changes (corresponds to the direction of the fat metabolism). The individual's energy
balance is determined based on the change of the product of the weight and fat mass percentage or the change in body fat mass. An information system and software are used to determine whether the individual is in a fat accumulation or fat burning stage, and based on these data recommendations for controlling the individual's energy consumption are automatically generated by the information system.
LIST OF ILLUSTRATIONS
The figure depicts a chart of body fat percentage changes (continuous line) with the trend of the fat percentage change (dotted line).
EXAMPLE OF THE EMBODIMENT OF THE INVENTION
According to one embodiment example of the invention the individual's body weight and body fat percentage and their changes are determined periodically as follows.
The individual's body fat mass or percentage from the first moment of time is entered in the information system. After that the body fat mass or percentage from the subsequent moment of time (for example after one day) is entered in the information system. The body fat mass or percentage change is calculated based on two consecutive body fat mass or percentage values. Body fat mass or percentage values from consecutive moments of time (daily, every two days, etc.) are entered in the system, and consecutive body fat mass or percentage changes are calculated based on body fat mass or percentage measured at two consecutive moments of time, and body fat mass or percentage trends are calculated in turn, based on consecutive changes. Changes and trends are visualised using a suitable method, e.g. graphically.
The individual's energy consumption is expressed either through two consecutive body weight and body fat percentage changes using the following formula:
Δ (kcal) =((K| x Ri) - (Kj+1 x R1+1)) x 7000,
where K, and Ri and Kj+i and Rj+i are the individual's body weight K and body fat percentage R measured during the previous and subsequent periods, respectively, or based directly on the fat mass:
Δ M =Mj - Mi+1, where M1 and Mi+i are the individual's body fat mass measured during the previous and subsequent periods, respectively.
The body fat mass or percentage is determined with the help of any method known from the state of the art, for example the liquid method or bioimpedance method, using, e.g. scales equipped with the corresponding function (e.g. TEFAL Body Signal). As the changes of body fat percentage and not its absolute value are essential for this method, the occurrence of a relatively large absolute error when using the bioimpedance method to determine body fat percentage is not important (assuming the random error is sufficiently small).
In addition to the individual's body fat percentage other data are also entered in the information system, and based on these data individual weight control recommendations are offered, for example body weight, the individual's sex, date of birth, and height, as well as the description of the individual's behaviour and exercising habits, and the individual's goals and deadlines for achieving the change of body weight (and body fat percentage), and also the data pertaining to the individual's physiological and emotional condition.
The method comprises determining of the energy consumption trend based on several consecutive body fat percentage changes or the energy balance (see Figure). According to one version the linear trend is determined. According to the second method the energy consumption trend and trend change are determined based on the consecutive changes of the energy balance. An earlier change of the energy balance (the first change) and the following change (the second change) are considered. If the direction of the second change differs from that of the first change this could be a potential trend changing point (reversing point, PP). After that the third change following the second change is considered. If the direction of the third change coincides with that of the second change the trend has reversed. If, however, the direction of the third change differs
from that of the second change, and its absolute value is greater the point cannot be considered a potential reversing point, and the recent trend continues. If the direction of the third change differs from that of the second change but its absolute value is smaller, and the increase during the last day and the last but one day is less than the slope of the linearly interpolated trend line calculated on the basis of the previous reversing point then an opposite direction trend started from the previous potential reversing point, i.e. a new potential reversing point was created. In that case the fourth change following the third change is used to determine whether the point in question was a potential reversing point. If, however, the increase exceeds the slope of the trend, the recent trend continues.
In addition to that the factor analysis of the energy balance change could be performed to assess the impact of eating and exercising habits on the change of the energy balance.
Descriptions of the individual's activities during the period are periodically entered in the information system, including data on the individual's energy consumption control achievements and mistakes, and the individual's emotional condition.
When the system identifies essential positive or negative changes, it gathers information on possible related activities, and periodically analyses the main causes of large energy consumption excess and deficiency. According to one version the individual's activities are entered in the information system with the same frequency as the body weight and body fat percentage data (e.g. daily).
According to another version the individual's activities are entered in the system associated with (especially) more extensive changes.
The individual's activities for the next period are planned by the information system and the user, effectiveness of the measures applied is measured, possible weight control mistakes are forecast, measures to avoid the mistakes are planned, and recommendations for controlling the energy consumption are offered, based on the individual's goals, the changes of the energy balance, and the achievements and mistakes of energy consumption control.
According to one embodiment example of the invention the individual's body weight and body fat percentage are automatically transmitted from the corresponding measuring device (electronic scales) to the information system via a communications channel. The communications channel could be any of the known communications channels, e.g. LAN, Bluetooth, WiFi network, infrared connection, etc. The information system may reside in a personal computer, handheld computer, mobile phone either partially or in full, or be available via the Internet or intranet. The information system may reside in the measuring device partially or in full, e.g. in the scales.