Digital twin updating

Abstract

Disclosed is a method () of providing a personalized parameter model of at least part of the physiology of a person () carrying a set of sensors () with a computer system () comprising a processor arrangement () for the purpose of updating a biophysical model or digital twin of the person. The method comprises, with said processor arrangement, receiving () sensor data from said set of sensors with the communication interface over a defined period of time, the sensor data from each sensor representing a parameter relevant to an actual physiological state of the person; evaluating () the received sensor data from each sensor to define the personalized parameter model (), said model including the evaluated dynamic behaviour of the values of each parameter observed with said sensors over the defined period of time and providing () the defined personalized parameter model for updating a digital model () of at least part of the anatomy of said person. Also disclosed is a method () for updating such a digital twin in which the digital twin is updated using such a personalized parameter model. In addition, a computer program product for implementing such methods and a computer system () implementing such methods are also disclosed.