Generating a mapping function for tracking a position of an electrode

A processing system for generating a mapping function that maps a response of an electrode to crossing electric fields within a subject to a position in a multidimensional co-ordinate space, the processing system being configured to:

• obtain, at an input interface, electrical responses of one or more electrodes mounted on an interventional device to the crossing electric fields induced within the subject;
• process the obtained electrical responses using a trained first machine-learning algorithm to obtain values for a respective one or more parameters of the mapping function;
• and
• define the mapping function based on the obtained values for the respective one or more parameters of the mapping function.

A computer implemented method for generating a trained first machine learning algorithm capable of providing values for a respective one or more parameters of a mapping function, the mapping function configured for transforming an electrical response representative of crossing fields within a subject of interest to a position in a multidimensional co-ordinate space, the method comprising:

• receiving a training dataset comprising:
• one or more sets of the electrical responses each set being annotated with associated values for one or more parameters of a mapping function capable of transforming the set of the electrical responses to a representative set of positions in the multidimensional co-ordinate space;
• subjecting a machine learning algorithm to the training data using a learning method to provide the trained machine learning algorithm to comprise trained machine learning algorithm parameters optimized for outputting predicted values for the one or more parameters of the mapping function based on an input of a set of electrical responses;
• and
• optionally, providing the trained machine learning algorithm or the trained machine learning algorithm.