Epilepsy is the fourth most common neurological disorder affecting people of all ages. Despite
the principal treatment involving drugs covers a high percentage of the patients suffering
from this disease, it is not always effective. In these cases, we are talking about pharmacoresistant
patients and its treatment is almost as undefined as its cause. These cases must be
studied deeply to get a possible outcome. Stereoelectroencephalography (SEEG) is one of the
exhausting tests performed and it ...
Epilepsy is the fourth most common neurological disorder affecting people of all ages. Despite
the principal treatment involving drugs covers a high percentage of the patients suffering
from this disease, it is not always effective. In these cases, we are talking about pharmacoresistant
patients and its treatment is almost as undefined as its cause. These cases must be
studied deeply to get a possible outcome. Stereoelectroencephalography (SEEG) is one of the
exhausting tests performed and it consists of an intracranial minimally invasive procedure that
introduces electrodes on a specific location of the brain to get accurate and valuable information.
This information can help the specialists locate and identify the cause of epilepsy and
design a solution according to it.
Electrode insertion is a complex task that requires extreme precision and control and it is thus
well suited for robotic intervention. A computer-controlled robot is used to perform these types
of interventions. In this project, we will simulate the same environment using a low-cost 3D
printed robot called Moveo. All the files from this robot are open-source and prepared for
everyone with a 3D printer can assemble it. However, this project will focus on the simulation
only.
The main objective of the project is to perform real-case SEEG planned interventions in the
simulation, with the future perspective of performing experimentally in the laboratory, not with
real patients but with 3D printed skulls.
+