Computer program for training a neurological condition detection algorithm, method of programming an implantable neurostimulation device and computer program therefor

The computer program of any of the preceding claims, wherein such electrode channels are selected out of the available electrode channels which have the closest geometrical match with the electrodes of the target electrode arrangement.

The computer program of any of the preceding claims, wherein such electrode channels are selected out of the available electrode channels which are arranged in a pseudo-Laplacian pattern.

The computer program of any of the preceding claims, wherein step d) comprises the steps:

• d1) calculating linear combinations of the EEG data of the selected subset of electrode channels, e.g. calculating linear combinations representing bipolar or quadrupolar electrode channels,
• d2) training the neurological condition detection algorithm by using calculated linear combinations of the EEG data.

The computer program of any of the preceding claims, wherein exactly 5 electrode channels are selected out of the available electrode channels.

The computer program of any the preceding claims, wherein the neurological condition detection algorithm is an artificial intelligence algorithm, e.g. Random Forest, Support Vector Machine, Multi-layer Perceptron, Convolutional Neural Network, Long Short-Term Memory Network.

The computer program of any of the preceding claims, wherein the computer program comprises at least two training cycles of the neurological condition detection algorithm:

• e) in a first training cycle a general training of the neurological condition detection algorithm is done using the EEG data of one or more patients,
• f) in a second training cycle a patient specific training of the neurological condition detection algorithm is done using the EEG data only of the patient to which the neurological condition detection algorithm shall be applied and/or using the EEG data of another patient having similar neurological condition onset pattern as the patient to which the neurological condition detection algorithm shall be applied.

The computer program of any of the preceding claims, wherein the computer program is arranged for evaluating data tags which are assigned to the EEG data which are input in the computer which executes the computer program, wherein the data tags are used for selecting the subset of electrode channels out of the available electrode channels.

A method of programming an implantable neurostimulation device, comprising the following steps:

• g) running a computer program of any the preceding claims on a computer,
• h) programming the neurological condition detection algorithm trained by the computer program into the implantable neurostimulation device.