Meng Wang
Shanghai Jiao Tong University
5 Papers
1 Citations
Meng Wang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Computer science & Posterior parietal cortex. The author has an hindex of 3, co-authored 5 publications.
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Papers
Optimal referencing for stereo-electroencephalographic (SEEG) recordings.
Guangye Li,Guangye Li,Shize Jiang,Sivylla E. Paraskevopoulou,Meng Wang,Yang Xu,Zehan Wu,Liang Chen,Dingguo Zhang,Gerwin Schalk,Gerwin Schalk,Gerwin Schalk +11 more
TL;DR: The results from three different signal quality metrics suggest the use of the Laplacian re‐reference for study of local population‐level activity and low‐frequency oscillatory activity.
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Enhancing Gesture Decoding Performance Using Signals from Posterior Parietal Cortex: A Stereo-Electroencephalograhy (SEEG) Study
TL;DR: This is the first human iEEG study demonstrating that PPC contains neural information about fine hand movement, supporting the role of PPC in hand shape encoding and suggesting that P PC could be a rich neural source for iEEg-based BMI.
SEEGview: A Toolbox for Localization and Visualization of Stereo-Electroencephalography (SEEG) Electrodes
Guangye Li,Shize Jiang,Meng Wang,Zehan Wu,Peter Brunner,Peter Brunner,Gerwin Schalk,Gerwin Schalk,Gerwin Schalk,Liang Chen,Dingguo Zhang +10 more
- 01 Oct 2018
TL;DR: This work presents, for the first time, an SEEG-specific MATLAB-based toolbox (SEEGview) for electrode localization that identifies 3D coordinates and anatomical information for all SEEG contacts within each individual brain, generates cortical activation maps, and maps SeeG contacts from different subjects into one standard brain model.
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A Wearable SSVEP-Based BCI System for Quadcopter Control Using Head-Mounted Device
TL;DR: A wearable BCI system based on the steady-state visual evoked potential (SSVEP), which enables 3-D navigation of quadcopter flight with immersive first-person visual feedback using a head-mounted device and provides asynchronous switch control for the users to alleviate the user’s operational burden.
Enhancing gesture decoding performance using signals from posterior parietal cortex: a stereo-electroencephalograhy (SEEG) study.
TL;DR: This is the first human iEEG study demonstrating that PPC contains neural information about hand movement, supporting the role of PPC in hand shape encoding and suggesting that P PC could be a rich neural source for iEEg-based BMI.