Yueming Wang

Qiushi Academy for Advanced Studies, and also the College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Associated articles

TBME, Featured Articles
Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network
Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g. epilepsy foci diagnosis. Granger causality is an effective tool for directional connection analysis in multivariate time series. However, most... Read more
TBME, Featured Articles
Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study
This work introduced for the first time a novel BCI that incorporate both intracortical LFP and scalp EEG (named, LFP-EEG-BCI) for motor intention decoding during neurorehabilitation. Concurrent intracortical and scalp signals were collected from a paraplegic patient undergoing motor imagery (MI) neurorehabilitation training. A common spatial filter approach was adopted for feature extraction and a decision fusion strategy was further introduced to obtain the decoding results. Transfer learning approach was also utilized to reduce the calibration. The proposed novel LFP-EEG-BCI may lead to new directions for developing practical neurorehabilitation systems in clinical applications... Read more