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Health improvement system using biosensors and food intake patterns

IP.com Disclosure Number: IPCOM000246113D
Publication Date: 2016-May-09
Document File: 2 page(s) / 881K

Publishing Venue

The IP.com Prior Art Database

Abstract

In a world that is increasingly focused on health, healthy food and prevention of health problems, it is increasingly complex for somebody to keep and overview. Just like smart or cognitive systems are applied to many other areas, we explored applying similar ideas to this field. The idea described in this document comprises of a method where food consumption is linked to health output from biosensors. The user is offered a method to keep track of food that is purchased and consumed. This allows the system to keep track of what calories are consumed, as well as which amount of ingredients. At the same time the system keeps track of the readings from different biosensors, which can include blood pressure, blood sugar levels, weight, etc. These can be read automatically by the system, or entered into the system by the user. Having the food data as well as health data, the system can now monitor (expected) results of the food intake on the health data. For example the system could detect a high consumption of salt-rich product, followed by an increase in blood pressure. The system, based on a set of rules, could now detect the link between the two – or in other cases also the lack of an expected results. Based on the findings the system can now remember that this link exists, notify the user, and make suggestions for the “shopping list”, basically helping the user compile a list of products that would be best to use. Within this concept, certain biosensory output is an input parameter to the before-mentioned rules as well. Here a step counter, or stairs counter, may help determine physical activity, which is taken into account as well. This may result in different suggestions for the “shopping list”, but may also result in suggestions for increased or decreased physical activity based on the consumed food, or on the food that still is on the “shopping list” or current inventory.

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Health improvement system using biosensors and food intake patterns

We will first describe the idea by example. Here we see how the user has an application (possibly a mobile app) to keep track of his food consumption (including food, drink, health preparations, etc.). The user can create a "shopping list" indicating what he is going to buy, have an "inventory" indicating what he has bought, and have a "consumed" list, indicating what he or she has actually consumed. The products are referenced by actual product code with subsequent product information, but in the example we will use simple product names instead for simplicity.

    We now assume the user has the following listed in his application: Shopping List: Butter
Inventory: Frozen Pizza, Bread, and Marmalade
Consumed: Salted Peanuts
The application at the same time is monitoring the users health metrics, by use of biosensors directly (or by the user submitting the results to the application). As a result the application can now see that the blood pressure is rising:

    14-6-2016: 90 / 120
15-6-2016: 93 / 122
16-6-2016: 97 / 125
The application now sees that the blood pressure is rising. Based on rules the application can now see that the shopping list contains products that also contain salt - and looks for alternatives to reduce the salt input. Therefore the system now will suggest to use "Salt-free butter" instead of "regular butter" so the user can easily replace this item on the shopping list.

    Going forward the application can monitor the blood pressure and make additional suggestions for the shopping list, or even on increasing physical activity (for example after detecting low activity).

    In more formal steps the idea can be described to contain the following:
Step 1 - At the start the application has access to a wide list of products, their content and their relationships. This can be done by a native list of products, a central list of products or connections to systems that already have this information.

    Step 2a - The application allows the user to select product items for "shopping list", "inventory" or "consumed". The number of product items and the date is recorded. The system also allows the user to move products to the next list for ease of use. The result is that the application has a full set of information about the product a user wants to buy, has bought (and therefore likely soon consume), and has consumed - over time.

    Step 2b - As the application knows what products are consumed over time (and which are likely to be consumed based on the "shopping list" and "invent...