Authors:
Dean Cvetkovic
and
Irena Cosic
Affiliation:
Australian Centre for Radiofrequency Bioeffects Research (ACRBR), RMIT University, School of Electrical and Computer Engineering, Australia
Keyword(s):
ELF, EMF, Bioeffects, Brain, EEG, Robotic Arm, Stepper Motors, Bluetooth.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Robot Design, Development and Control
;
Robotics and Automation
Abstract:
The automated system was designed and developed for accurate and fast localisation of extremely low frequency (ELF) electromagnetic field (EMF) exposure to any particular brain region and therefore record for any changes in the EEG activity before and after stimulation. The automated system consisted of a general user interface (GUI) where the users had the ability to precisely control and move an EMF source (coil) via robotic arm to any EEG electrode position or region. The 3-D movements of the robotic arm were controlled via a serial linked motor driver board that controlled two motors. The software was able to initially store the estimated 3-D EEG electrode positions and therefore identify the areas where ELF EMF exposure from the coil could be applied. The testing and final measurements of this system revealed the robotic arm precision of 0.1mm and maximum speed of 0.211 cm/sec
(x-axis) and 0.827 cm/sec (y-axis).