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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Chiruhin D.A., Ryabinin K.V.
Generation of a Personalized Headcap 3D Model for Encephalography with Dry Electrodes
The article presents a method for generating a 3D model of a collapsible headcap for dry electrodes of an electroencephalograph based on the parameters of a human head. A headcap for electrodes that precisely fits the head of a particular person is essential in the development of personalized human-machine brain-computer interfaces. A mathematical model is proposed, based on the approximation of the head shape using an ellipsoid and the placement of sockets for electrodes according to the international universal system 10-20. 3D bridges based on Bezier curves are used to connect sockets. The proposed method is implemented in the FreeCAD computer-aided design environment using the Python programming language. The headcap model has been generated. The accuracy of electrode placement on the headcap was verified using a 3D scan of a head obtained with a Calibry Mini scanner. The physical characteristics of the headcap are verified by printing it on a consumer-grade 3D printer. The resulting headcap is better suited for the person whose head parameters were taken than standard headcaps and requires less material and time for 3D printing.
Geometric modeling, dry electrodes, electroencephalography, 10-20 system, brain-computer interface, ellipsoid, Bezier curves, FreeCAD, Python
Publication language: russian,  pages: 10 (p. 417-426)
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About authors:
  • Chiruhin D.A., State University
  • Ryabinin Konstantin Valentinovich,,  Astronomisches Rechen-Institut, Centre for Astronomy of Heidelberg University; Perm State University