Скачать или смотреть Arm’s Assembly Burst Data Transfer in Brain Machine Interface Applications - Gregory Kalogiannis

This poster was presented at the virtual Arm Research Summit, September 9-11, 2020. This year's event explored global technology challenges across sustainability, security, and society, and attracted delegates from around the world for three days of innovative content.

The purpose of this study is to exploit how to improve the performance of BCI SoC applications in software level by using Arm Assembly features such as the data transfer burst technique. Gregory has chosen the accelerate of the demanding algorithm of Second Order Blind Identification (SOBI) commonly used for signal separation in BCI systems that are dedicated to recognizing human motor imagery movements. Their system is dedicated to recognizing human motor imagery movements. The latter is used for controlling an angle-wrist continuous passive motion (CPM) rehabilitation device by thought and consists of three subsystems, the EEG signal capturing subsystem, the signal processing subsystem, and the motor driving subsystem.

To view Gregory's full poster in detail, click here: https://bit.ly/2GKInE1