SYSTEM, DEVICE, METHOD AND COMPUTER PROGRAM FOR PROVIDING A HEALTH ADVICE TO A SUBJECT

Abstract

The present invention relates to a system (100), a device, a method (200), and a computer program for providing a health advice to a subject. It is proposed to modify a digital coaching advice depending on trends of a physiological observable (e.g., weight, Body Mass Index, etc.). A digital coach varies the wording of his/her advice depending on the risk categorization. It is proposed to analyze physiological measurements for deviation from the mean and rate of change and to translate these basic statistics into a concept of urgency/risk to structurally vary the wording or appearance of a digital coach. Thus, a digital coach as proposed herein may look, act and talk differently depending on the urgency/risk of the users. Coaches may vary in language and appearance from gentle, via hard-but-fair, to drill sergeant.

Claims

1. A system for providing a health advice to a subject, the system comprising: a health level determining unit that is configured to determine a health level of the subject for a first time, wherein the health level is based on a comparison of a physiological observable of the subject at the first time to a target physiological observable of the subject; a health advice providing unit that is configured to provide a health advice based on the physiological observable of the subject at the first time and on a rate of change of the physiological observable of the subject over time; and an urgency assigning unit that is configured to assign a degree of urgency to the health advice based on the health level of the subject at the first time and on a rate of change of the physiological observable of the subject over time.

2. The system of claim 1, wherein the system further comprises a user interface, wherein the system is configured provide an appearance of the user interface based on the degree of urgency.

3. The system of claim 1, wherein the system is configured to provide a feedback to the user based on the assigned degree of urgency, wherein the feedback to the user is at least one of a visual feedback, an auditory feedback, a haptic feedback, and/or an olfactory feedback.

4. The system of claim 3, wherein the at least one of a visual feedback, an auditory feedback, a haptic feedback, and/or an olfactory feedback based on the assigned degree of urgency are selected from a memory unit.

5. The system of claim 1, wherein the system further comprises a physiological observable providing unit that is configured to provide the physiological observable of the subject at the first time.

6. The system of claim 5, wherein the physiological observable providing unit comprises an input unit that is configured to receive the physiological observable of the subject at the first time; and/or wherein the physiological observable providing unit comprises a sensor that is configured to measure the physiological observable of the subject at the first time.

7. The system of claim 1, wherein the system further comprises a feedback urgency database that is configured to store a table defining the degree of urgency depending on the health level of the subject at a given time and on the rate of change of the physiological observable of the subject over time.

8. The system of claim 1, wherein the target physiological observable of the subject is dependent on time.

9. The system of claim 1, wherein the system further comprises an effectiveness analyzing unit that is configured to correlate the assigned degree of urgency over time with the determined health level over time, wherein the effectiveness analyzing unit is further configured to provide an effectiveness rating based on the correlation.

10. The system of claim 1, wherein the system further comprises a display unit that is configured to display the health advice taking into account the assigned degree of urgency.

11. The system of claim 1, wherein the system further comprises a speaker unit that is configured to provide the health advice as an acoustic sound taking into account the assigned degree of urgency.

12. A device for providing a health advice to a subject, the device comprising: a health advice providing unit that is configured to provide a health advice based on a physiological observable of the subject at a first time and on a rate of change of the physiological observable of the subject over time; and a degree of urgency providing unit that is configured to provide a degree of urgency corresponding to the health advice based on the health level of the subject at the first time and on a rate of change of the physiological observable of the subject over time; and a user interface that is configured to provide the health advice to the subject, wherein the user interface is configured to vary an appearance of the health advice depending on the degree of urgency.

13. The device of claim 12, wherein the user interface is configured to provide the health advice to the subject by means of at least one of a visual feedback, an auditory feedback, a haptic feedback, and/or an olfactory feedback; wherein the user interface is configured to vary the at least one of a visual feedback, an auditory feedback, a haptic feedback, and/or an olfactory feedback depending on the degree of urgency.

14. A method for providing a health advice to a subject, the method comprising the steps of: determining a health level of the subject for a first time, wherein the health level is based on a comparison of a physiological observable of the subject at the first time to a target physiological observable of the subject; providing a health advice based on the physiological observable of the subject at the first time and on a rate of change of the physiological observable of the subject over time; and assigning a degree of urgency to the health advice based on the health level of the subject at the first time and on a rate of change of the physiological observable of the subject over time.

15. A computer program for providing a health advice to a subject, the computer program comprising program code means for causing the system to carry out the steps of the method for providing a health advice to a subject as defined in claim 14, when the computer program is run on a computer controlling the system for providing a health advice to a subject.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In the following drawings:

[0049] FIG. 1 shows schematically and exemplarily an embodiment of a system for providing a health advice to a subject,

[0050] FIG. 2 shows schematically and exemplarily an embodiment of a method for providing a health advice to a subject,

[0051] FIG. 3 illustrates a conventional approach for providing feedback on a user's health behavior, and

[0052] FIG. 4 shows an approach for providing feedback on a user's health behavior in accordance with the present invention.

DETAILED DESCRIPTION OF EMBODIMENTS

[0053] FIG. 1 shows schematically and exemplarily an embodiment of a system 100 for providing a health advice to a subject. System 100 comprises health level determining unit 110 that is configured to determine a health level of the subject for a first time, wherein the health level is based on a comparison of a physiological observable of the subject at the first time to a target physiological observable of the subject. System 100 further comprises health advice providing unit 120 that is configured to provide a health advice to the subject based on the physiological observable of the subject at the first time and on a rate of change of the physiological observable of the subject over time. System 100 further comprises an urgency assigning unit 130 that is configured to assign a degree of urgency to the health advice based on the health level of the subject at the first time and on a rate of change of the physiological observable of the subject over time.

[0054] Optional physiological observable providing unit 105 is configured to provide the physiological observable of the subject at the first time. Physiological observable providing unit 105 may comprise an input unit that is configured to receive the physiological observable of the subject at the first time. Additionally and/or alternatively, physiological observable providing unit 105 may comprise a sensor that is configured to measure the physiological observable of the subject at the first time.

[0055] Optional rate of change providing unit 170 is configured to calculate the rate of change of the physiological observable of the subject over time.

[0056] Optional first database 160 is provided for storing the target physiological observable of the subject. First database 160 may be further configured to store a healthy range of the physiological observable of the subject and a parameter corresponding to the total number of health levels. Optional second database 165, which herein is also referred to as the feedback urgency database, is configured to store a table defining the degree of urgency depending on the health level of the subject at a given time and on the rate of change of the physiological observable of the subject over time.

[0057] Optional effectiveness analyzing unit 180 is configured to correlate the assigned degree of urgency over time with the determined health level over time. Effectiveness analyzing unit 180 is further configured to provide an effectiveness rating based on the correlation.

[0058] Optional display unit 190 is configured to display the health advice taking into account the assigned degree of urgency. Optional speaker unit 195 is configured to provide the health advice as an acoustic sound taking into account the assigned degree of urgency.

[0059] FIG. 2 shows schematically and exemplarily an embodiment of a method 200 for providing a health advice to a subject. In a step 210, a health level of the subject for a first time is determined. The health level is based on a comparison of a physiological observable of the subject at the first time to a target physiological observable of the subject. In a step 220, a health advice is provided based on the physiological observable of the subject at the first time and on a rate of change of the physiological observable of the subject over time. In a step 230, a degree of urgency is assigned to the health advice based on the health level of the subject at the first time and on a rate of change of the physiological observable of the subject over time.

[0060] The step of assigning a degree of urgency may in principle be performed before or after the step of providing a health advice. User feedback is provided based on the health advice itself (e.g., reduce salt intake) and based on the degree of urgency (e.g., low or high alert), but the health advice as such does not necessarily need to be present when determining the degree of urgency. That is, in an embodiment, it is conceivable to determine the degree of urgency and only then retrieve the respective health advice.

[0061] FIG. 3 illustrates a conventional approach for providing feedback on a user's health behavior. According to the simple model illustrated in FIG. 3, measurements (t.sub.1), (t.sub.2) of a physiological observable (e.g., weight, blood pressure, calorie intake, physical activity, etc.) at times t.sub.1, t.sub.2, preformed over time T fall inside or outside an acceptable range R around a target value .sub.healthy and do or do not exit/enter the acceptable range R, leading to four possible levels of feedback. In the example shown, even if a measurement already shows the risk of going outside the acceptable range (e.g., based on the slope of the curve), a conventional algorithm's feedback remains positive as long as the measured observable remains within the accepted range between .sub.min and .sub.max.

[0062] This leads to a 22 matrix and four types of feedback. Example feedback messages for the conventional approach illustrated in FIG. 3 are given in the subsequent table:

TABLE-US-00001 no entering/exit of acceptable range entering/exit of acceptable range inside e.g. Well done, you have e.g. What an achievement, acceptable maintained your target you have reached your range weight for the last target weight! 17 days. outside e.g. Your weight e.g. Careful, you have gained acceptable continues to be above too much weight. range what is considered healthy.

[0063] FIG. 4 shows an approach for providing feedback on a user's health behavior in accordance with the present invention. Here, an improved model is shown in which the acceptable range R has been subdivided into different zones with corresponding health levels L.sub.1, . . . , L.sub.6 and the rate of change is also considered. By taking the trend (or slope) of the curve into consideration, a measurement associated with a large rate of change warrants a more stern and urgent feedback, even if its actual value is still well within the acceptable range. In addition, measurements on the outer regions of the acceptable range likewise warrant a more stern and urgent feedback than measurements that are closer to the target line .sub.healthy.

[0064] The urgency level of feedback messages is thus made dependent on both the deviation from the target value and the rate of change in unhealthy direction. The urgency levels shown are intended to illustrate the working principle and are not to be taken as absolutes.

[0065] As a first example, the time evolution of a subject's Body Mass Index (BMI) is considered. The healthy range is between 20 to 25 kg/m.sup.2. The following three cases are compared:

1. Subject is consistently at 24.5 kg/m.sup.2. This is on the outer edge of the acceptable range but the rate of change is zero.
2. Subject is at 24.5 kg/m.sup.2, but subject's BMI is increasing. Not only is the subject on the outer edge of the acceptable range, but the subject is also expected to leave the healthy range in the very near future.
3. Subject is at 22.5 kg/m.sup.2 but subject's BMI is shooting up. Subject is right in the middle of the safe zone but its weight is changing rapidly. This could be a sign of yo-yo-ing, binge eating or another eating disorder.

[0066] These three cases warrant a different tone of voice. In the first case, there is room for improvement in the subject's lifestyle but at least everything is under control so there is no need for an alarming response: some gentle nudging will do. In the second case, though the deviation between actual and target BMI is exactly the same as in case 1, this is far more serious as the subject is heading for unhealthy values: the digital coach should advice with an urgent tone of voice. In the third case, even though the absolute BMI value is in line with the target there is something seriously wrong with the subject: subject's weight is changing dramatically and again the digital coach should help with urgency to address a potential eating disorder.

[0067] As a further example, example feedback messages which are modified in dependence on the deviation from the target value and on the rate of change are given in the subsequent table:

TABLE-US-00002 Slope of graph in unhealthy direction (rate of change) low medium high deviation small 0 - current lifestyle 1 - user is about to 2 - careful: user is from is fine lose optimal losing best level target lifestyle habits! value medium 1 - user is doing 2 - there is room for 3 - careful: user is well, but there is improvement and rapidly losing good room for user is straying habits! improvement from the right path large 2 - user's lifestyle 3 - there is 4 - be very careful: is stable but there is considerable room user's condition is considerable room for improvement suboptimal and for improvement and the user is his/her condition is straying further rapidly becoming from the right path worse! extra large 3 - user is on the 4 - be very careful! 4 - alert: user is on edge of what is user is on the edge the edge of what is healthy) of what is healthy healthy and his/her and his/her condition is rapidly condition is becoming worse! becoming worse out of 5 - high alert: user's 5 - high alert: user's 5 - high alert: user's healthy condition is condition is condition is range unhealthy! unhealthy and unhealthy and straying further! rapidly deteriorating further!
The different levels, for a given subject, may be organized as follows:

[00001]$\begin{array}{cc}L=.Math.\frac{.Math.{}_{\mathrm{measured}}-{}_{\mathrm{healthy}}.Math.}{R_{\mathrm{healthy}}/N_L}.Math.,& \left(1\right)\end{array}$

where L corresponds to the subject's current health level, .sub.measured corresponds to the actual (measured) value of the respective observable (e.g., weight, blood pressure, calorie intake, physical activity, body-mass-index, etc.), .sub.healthy corresponds to the healthy (i.e., target) value of the respective observable (e.g., weight, blood pressure, calorie intake, physical activity, body-mass-index, etc.) at the time of measurement, R.sub.healthy corresponds to the healthy range of the respective observable, i.e., the range of values of the observable, where the subject is still considered healthy, and N.sub.L corresponds to the number of health levels.

[0068] For instance, consider an example where the respective observable corresponds to the subject's Body Mass Index BMI, where the healthy range extends between 20 to 25 kg/m.sup.2 (i.e., R.sub.healthy=5), the target healthy value .sub.healthy is 22.5 kg/m.sup.2 and the desired number of health levels N.sub.L is 10, where the health levels are distributed symmetrically around the mean.

[0069] For a subject having a BMI of 24.55 kg/m.sup.2, the subject's current health level is then calculated as follows:

[00002]$\begin{array}{cc}L=.Math.\frac{.Math.{}_{\mathrm{measured}}-{}_{\mathrm{healthy}}.Math.}{R_{\mathrm{healthy}}/N_L}.Math.=.Math.\frac{.Math.24.55-22.5.Math.}{5/10}.Math.=.Math.4.1.Math.=4.& \left(2\right)\end{array}$

[0070] Accordingly, for a subject having a BMI of 21.9 kg/m.sup.2, the subject's current health level yields:

[00003]$\begin{array}{cc}L=.Math.\frac{.Math.{}_{\mathrm{measured}}-{}_{\mathrm{healthy}}.Math.}{R_{\mathrm{healthy}}/N_L}.Math.=.Math.\frac{.Math.21.9-22.5.Math.}{5/10}.Math.=.Math.1.2.Math.=1.& \left(3\right)\end{array}$

[0071] Optionally, the algorithm may take into account the type of physiological observable and whether the same distance below the average and above the average corresponds to an equally (un)healthy lifestyle. If not, the calculation may need to be weighted to reflect this health asymmetry around the mean. Optionally, the algorithm may further take into account the user's personal profile, such as age. For example, a low blood pressure with risk of fainting may be more of a health risk for an elderly frail person than for a young person between 20 and 30 years.

[0072] A detailed embodiment of the present invention may involve a definition of a mathematical model for the target value of a health parameter, a definition of bands parallel to the target value, and a definition of minimum and maximum values, indicating the outer bounds of the acceptable, healthy range. For a given subject the rate of change of the physiological observable under consideration is then calculated. One option to determine the degree of urgency is to consult a table defining the urgency of the feedback based on the difference between the measured and target value as well as the rate of change of the signal.

[0073] Optionally, each specific piece of health advice (e.g. eating less salt in case of high blood pressure; encourage walking in case of weight management; don't drink coffee before sleep in case of sleeping disorders etc.) is worded by a script writer for all the different levels of urgency and entered into a look-up table, as shown in the following table:

TABLE-US-00003 message (reduce salt intake) urgency level 0 Did you know too salty food can cause high level blood pressure? level 1 Keep an eye on your salt intake. level 2 Do remember to limit your salt intake. level 3 Hey, you are being careful with your salt intake, aren't you? level 4 I urge you to really, really watch your salt intake. level 5 Don't add extra salt, just don't.

[0074] Finally, depending on the level of urgency, the appropriate wording for the advice is picked from the look-up table.

[0075] As a further optional enhancement, different coaching styles may translate in urgency in different ways to address users with different psychological profiles. For instance, urgency may be translated into a tough, drill sergeant type feedback for performance-oriented consumers but can also be translated into different levels of pleading and encouragement for those receptive to a softer style of coaching.

[0076] In accordance with the present invention, different measurements and rates of change result in the same advice being offered in different tones of voice.

[0077] An example application of the invention refers generally to behavior change in all personal health related areas, including: weight management, stress management, sleep coaching, food intake, physical exercise, healthy pregnancy, and/or rehab (e.g. smoking, drinking, and drugs).

[0078] The physiological observable providing unit may comprise one or more input units and/or one or more sensors. Rather than determining an effectiveness rating based on a correlation of the assigned degree of urgency over time with the determined health level over time, the system may also provide the assigned degree of urgency over time and the determined health level over time to a further processing unit, which then performs the operative steps of the effectiveness analyzing unit.

[0079] Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims.

[0080] In the claims, the word comprising does not exclude other elements or steps, and the indefinite article a or an does not exclude a plurality.

[0081] A single unit or device may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

[0082] Determinations like determining a health level of the subject, determining a physiological observable of the subject, assigning a degree of urgency to the health advice, et cetera performed by one or several units or devices can be performed by any other number of units or devices. The determinations and/or the control of the system for providing a health advice to a subject in accordance with the above described method for providing a health advice to a subject can be implemented as program code means of a computer program and/or as dedicated hardware.

[0083] The health advice providing unit, the physiological observable providing unit, the rate of change providing unit, and the degree of urgency providing unit can be one single unit. Alternatively, the health advice providing unit, the physiological observable providing unit, the rate of change providing unit, and the degree of urgency providing unit are separate units. It shall be understood by the person skilled in the art that it is also possible to provide a single unit which provides the functionality of only some (e.g., of only two) of these units, where the remaining unit(s) are separate therefrom or respectively combined with each other.

[0084] A computer program may be stored/distributed on a suitable medium, such as an optical storage medium or a solid-state medium, supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems. The term computer program may also refer to embedded software.

[0085] Any reference signs in the claims should not be construed as limiting the scope.

[0086] The present invention relates to a system, a device, a method, and a computer program for providing a health advice to a subject. It is proposed to modify a digital coaching advice depending on trends of a physiological observable (e.g., weight, Body Mass Index, etc.). A digital coach varies the wording of his/her advice depending on the risk categorization. It is proposed to analyze physiological measurements for deviation from the mean and rate of change and to translate these basic statistics into a concept of urgency/risk to structurally vary the wording or appearance of a digital coach. Thus, a digital coach as proposed herein may look, act and talk differently depending on the urgency/risk of the users. Coaches may vary in language and appearance from gentle, via hard-but-fair, to drill sergeant.