Invasive Brain-machine Interface Studies at Zhejiang University


   Professor Shaomin Zhang

Ph.D. in Biomedical Engineering

Institute of Brain-machine Interface, Qiushi Academy for Advanced Studies, Zhejiang University


11:00-12:30, Thursday, September 24, 2020


Room 411, 4th Floor, Building 2, Yunqi Campus

Abstract of seminar:

Brain-machine interfaces (BMIs) offer a direct path for the brain to communicate with the outside world, mainly using central neural activities to control external devices. In the past decade, the QAAS-BMI team at Zhejiang University has been carrying out invasive BMIs research from animal experiments to clinical studies. We developed several neural decoding algorithms for dealing with the dynamic and nonlinear neural signals when extracting movement intention from the brain. We also demonstrated that the activity of the motor neuron ensemble could be translated into control commands of external devices. With the help from the participants with epilepsy, we further showed that the electrocorticography signals from the motor and sensory cortex could be employed to precisely control an artificial hand in realtime.

Biography of speaker:

Prof. Shaomin Zhang received his B.Sc. And Ph.D. in Biomedical Engineering from Zhejiang University in 2002 and 2007, respectively. After that, he became interested in BMIs (Brain-Machine Interfaces) and began to work on Roborat (Animal-robots). During his postdoctoral studies, he worked on the hybrid neural decoder combining Spikes and LFPs (Local field potential). He also took part in setting up the first nonhuman primate BMI Lab in China. From 2012 to 2014, he joined the BrainGate research team led by Prof. John Donoghue at Brown University. After his return, working closely with the neurosurgeons, he made the first clinical study of invasive BMI in China. The participants could control the robotic hand with their ECoG (Electrocorticogram) signals to make the rock-scissors-paper movement.