The project aims to develop an external robotic structure that supports the upper limb and relies on a brain-computer interface system to control and is guided by artificial muscles of the aerobic muscles for patients suffering from paralysis. The proposed system consisted of one degree of freedom of the elbow joint for each hand. The device is provided with a glove to give the user the ability to grasp things.
The brain-computer interface system uses four channels to express the brain's electrical signal: C3, C4, Cp3, Cp4. The signal is quoted using the OpenBCI Ganglion circuit after which the signal is filtered into the low Beta domain and the MYO domain. Then the power spectrum properties of each channel are extracted. Then the extracted properties are translated and classified using the closest neighbor classifier into two classes: left / right. As a result, the classification accuracy is 80.00%, the precision is 86% and the sensitivity is 83%. This project provides support for young patients to reuse them within a limited range. Work will be made to increase the ability to reuse the hands with the help of the robotic exoskeleton in future research.
For inventors: Nibras Abu Al-Dhahab - Hassan Al-Imam - Reham Daye - Sarah Maatouk - Ali Al-Arja - Muhammad Shafiq Al-Nahhas.
This patent won first place - Department of Medical Engineering in the Invention Contest.
