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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
Abstract:
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.
Keywords:
Geometric modeling, dry electrodes, electroencephalography, 10-20 system, brain-computer interface, ellipsoid, Bezier curves, FreeCAD, Python
Publication language: russian,  pages: 10 (p. 417-426)
Russian source text:
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About authors:
  • Chiruhin D.A.,  orcid.org/0009-0008-7683-6978Perm State University
  • Ryabinin Konstantin Valentinovich,  orcid.org/0000-0002-8353-7641,  Astronomisches Rechen-Institut, Centre for Astronomy of Heidelberg University; Perm State University