= Digitize EEG sensor locations and head shape using 3D Scanners (UNDER CONSTRUCTION) =
''Authors: Yash Shashanka Vakilna, Wayne Mead, Anand Joshi, Chinmay Chinara, Takfarinas Medani, Raymundo Cassani''

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== Background ==
EEG allows the monitoring and recording of electrical brain activity from multiple electrodes placed on the scalp. EEG-based cortical current density mapping requires accurate knowledge of the locations of the electrodes on the scalp. The number and placement of electrodes vary from a few to high-density models with hundreds of electrodes. Researchers and clinicians have developed some solutions for precise electrode localization. The most common approach uses an electromagnetic digitizer (e.g. [[https://neuroimage.usc.edu/brainstorm/Tutorials/TutDigitize|Polhemus]]). However, these methods are typically not easy to use, require skilled technicians, and the procedures are time-consuming and subject to errors.

This study presents [[https://www.revopoint3d.com/products/handheld-3d-scanner-range|Revopoint]], an affordable and advanced 3D scanner that uses structured light approach for mapping the scalp surface and automatically identifying each electrode's 3D location and label.

== The Hardware ==
Revopoint package comes with the 3D Scanner with tripod and a USB-C cable. {{attachment:revopoint_range2_scanner.png||width=500}}