COMPUTER PROGRAM FOR TRAINING A NEUROLOGICAL CONDITION DETECTION ALGORITHM, METHOD OF PROGRAMMING AN IMPLANTABLE NEUROSTIMULATION DEVICE AND COMPUTER PROGRAM THEREFOR

The invention relates to A computer program for training a neurological condition detection algorithm to be used for neurological condition detection in an implantable neurostimulation device having a target electrode arrangement, the computer program comprising the following steps:a) inputting EEG data in a computer which executes the computer program, the EEG data being recorded by at least one EEG from at least one patient using an electrode system with a plurality of electrode channels,b) identifying neurological activity in the EEG data, which corresponds to a neurological condition, based upon neurological condition identification tags included in the EEG data and/or input in the computer,c) selecting a subset of electrode channels out of the available electrode channels in the EEG data dependingc1) on the identified neurological activity and/orc2) on characteristic data of the target electrode arrangement,d) training a neurological condition detection algorithm by using the EEG data only of the selected subset of electrode channels.