Method and System for Determining the Effect of Food and Drink on a User

A computer implemented method for providing a user with an indication of the relative impact of food and drink on their body fluids, comprising:

• providing a user interface on a mobile device adapted to allow a mobile device to process user inputted event data of a plurality of events, wherein the events comprise the user consuming food or drink, the event data comprising the type of food or drink and the time at which said event occurred;
• receiving data at the mobile device from a sensor, wherein the data received from the sensor comprises indicator information over the time corresponding to said plurality of events, said indicator information being a numerical measure of a physiological parameter;
• transmitting said indicator information and event data to a server;
• receiving data from said server comprising an impact value for the plurality of events with the corresponding events, wherein the impact value is an indication of the impact of the event on the body fluids of the user, the impact value being determined by fitting a mixture of probability density functions to the indicator information, wherein each probability density function represents the probability that an event of the plurality of events impacted the indicator information at a time;
• and extracting a weighting from each fitted probability density function and assigning the impact value based on this weighting for the corresponding event, to allow an impact value to be assigned to an event where the user consumed food or drink;
• and
• displaying on said mobile device, food and drink ranked using said impact value.

An apparatus for determining the relative impact of food and drink on the body fluids of a user, the apparatus comprising a processor, said processor being adapted to:

• receive event data of a plurality of events, wherein the events comprise the user consuming food or drink, the event data comprising the type of food or drink and the time at which said event occurred;
• receive indicator information over the time corresponding to said plurality of events, said indicator information being a numerical measure of a physiological parameter;
• fit a mixture of probability density functions to the indicator information, wherein each probability density function represents the probability that an event of the plurality of events impacted the indicator information at a time;
• and
• extract a weighting from each fitted probability density function and assigning an impact value based on said weighting for the corresponding event, to allow an impact value to be assigned to an event where the user consumed food or drink.

An apparatus for providing a user with an indication of the relative impact of food and drink on their body fluids, the apparatus being a mobile device comprising:

• a user interface adapted to allow the user to input event data of a plurality of events, wherein the events comprise the user consuming food or drink, the event data comprising the type of food or drink and the time at which said event occurred;
• a first receiver adapted to receive data from a sensor, wherein the data received from the sensor comprises indicator information over the time corresponding to said plurality of events, said indicator information being a numerical measure of a physiological parameter;
• a transmitter configured to send said indicator information and event data to a server;
• and
• a second receiver adapted to receive data from said server comprising an impact value for the plurality of events with the corresponding events, wherein the impact value is an indication of the impact of the event on the body fluids of the user, the impact value being determined by fitting a mixture of probability density functions to the indicator information, wherein each probability density function represents the probability that an event of the plurality of events impacted the indicator information at a time;
• and extracting a weighting from each fitted probability density function and assigning the impact value based on this weighting for the corresponding event, to allow an impact value to be assigned to an event where the user consumed food or drink,
• the mobile device comprising a processor, said processor being adapted to display on said mobile device, food and drink ranked using said impact value.