Postdoctoral Research Scientist in Neuroscience
Shenghong He graduated with a D.Phil. in Engineering from South China University of Technology, China, in December 2017. His graduate work has mainly focused on developing real-time asynchronous brain-machine interface (BMI) methods and their applications by using electroencephalogram (EEG) and electrooculography (EOG). In May 2018, Shenghong joined Dr Huiling Tan’s Group as a Postdoctoral Research Scientist in Neuroscience. Shenghong’s current research is focused on developing BMI systems based on subcortical local field potentials recorded from people with Parkinson’s, and testing the efficacy of this new BMI system in neuroprosthetic control and neurofeedback training. His work involves collecting behavioural and electrophysiological data, analysing brain signals in real-time to decode relevant information, using this information to drive an external actuator, and, at the same time, investigating the neural basis of the learning evident in BMI use in humans.
Neurofeedback-Linked Suppression of Cortical β Bursts Speeds Up Movement Initiation in Healthy Motor Control: A Double-Blind Sham-Controlled Study
He S. et al, (2020), The Journal of Neuroscience, 40, 4021 - 4032
EEG- and EOG-Based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-Mail Client, and a File Explorer.
He S. et al, (2020), IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 28, 519 - 530
Beta Oscillation-Targeted Neurofeedback Training Based on Subthalamic LFPs in Parkinsonian Patients
(2019), 2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
Decoding voluntary movements and postural tremor based on thalamic LFPs as a basis for closed-loop stimulation for essential tremor
Tan H. et al, (2019), Brain Stimulation, 12, 858 - 867
An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System.
Huang Q. et al, (2019), Front Neurosci, 13