activity
20122025
most citedOperation of a Brain-Computer Interface Walking Simulator by Users with Spinal Cord Injury

6 citations · 15 across the 7 of their papers we have counts for

collaborators

8 papers

q-bio.QM2025

Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders

Ziheng Chen, Po T. Wang, Mina Ibrahim +4

Lengthy subject- or session-specific data acquisition and calibration remain a key barrier to deploying electroencephalography (EEG)-based brain-computer interfaces (BCIs) outside…

q-bio.NC2025

Early Assessment of Artificial Lower Extremity Sensory Response Times and Proprioceptive Acuity via Sensory Cortex Electrical Stimulation

Won Joon Sohn, Jeffrey Lim, Po T. Wang +10

Bi-directional brain computer interfaces (BD-BCIs) may restore brain-controlled walking and artificial leg sensation after spinal cord injury. Current BD-BCIs provide only simplist…

q-bio.NC2021★ 1 cited

Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals

Po T. Wang, Colin M. McCrimmon, Susan J. Shaw +6

Brain-computer interfaces (BCIs) have shown promising results in restoring motor function to individuals with spinal cord injury. These systems have traditionally focused on the re…

eess.SP2020★ 1 cited

Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 2

Yongcheng Li, Po T. Wang, Mukta P. Vaidya +3

Extraction of the movement-related high-gamma (80 - 160 Hz) in electroencephalogram (EEG) from traumatic brain injury (TBI) patients who have had hemicraniectomies, remains challen…

eess.SP2020

Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 1

Yongcheng Li, Po T. Wang, Mukta P. Vaidya +3

Electroencephalographic (EEG) recordings are often contaminated by electromyographic (EMG) artifacts, especially when recording during movement. Existing methods to remove EMG arti…

cs.HC2012★ 5 cited

Pushing the Communication Speed Limit of a Noninvasive BCI Speller

Po T. Wang, Christine E. King, An H. Do +1

Electroencephalogram (EEG) based brain-computer interfaces (BCI) may provide a means of communication for those affected by severe paralysis. However, the relatively low informatio…

cs.HC2012★ 6 cited

Operation of a Brain-Computer Interface Walking Simulator by Users with Spinal Cord Injury

Christine E. King, Po T. Wang, Luis A. Chui +2

Background: Spinal cord injury (SCI) can leave the affected individuals unable to ambulate. Since there are no restorative treatments for SCI, novel approaches such as brain-contro…

cs.HC2012★ 2 cited

Self-paced brain-computer interface control of ambulation in a virtual reality environment

Po T. Wang, Christine E. King, Luis A. Chui +2

Objective: Spinal cord injury (SCI) often leaves affected individuals unable to ambulate. Electroencephalogramme (EEG) based brain-computer interface (BCI) controlled lower extremi…