Digital twin updating

A method of providing a personalized parameter model of at least part of the internal physiology of a person carrying a set of sensors with a computer system comprising a processor arrangement, the method comprising, with said processor arrangement:

• receiving sensor data from said set of sensors with a communication interface over a defined period of time, the sensor data from each sensor representing a parameter relevant to an actual internal physiological state of the person;
• evaluating the received sensor data from each sensor to define a personalized parameter model, said model including an evaluated dynamic behaviour of the values of each parameter observed with said sensors over the defined period of time, and wherein evaluating the received sensor data from each sensor to define the personalized parameter model further comprises:
• (i) dividing the values of at least some of the parameters observed with said sensors over the defined period of time into a plurality of sub-ranges;
• (ii) generating a distribution of the values of the at least some of the parameters observed with said sensors over the defined period of time across the plurality of sub-ranges;
• and (iii) including said distribution in the personalized parameter model;
• and
• providing the defined personalized parameter model for updating a digital model of said person.