Early feasibility of an embedded bi-directional brain-computer interface for ambulation

no code implementations • 19 Feb 2024 • Jeffrey Lim, Po T. Wang, Wonjoon Sohn, Claudia Serrano-Amenos, Mina Ibrahim, Derrick Lin, Shravan Thaploo, Susan J. Shaw, Michelle Armacost, Hui Gong, Brian Lee, Darrin Lee, Richard A. Andersen, Payam Heydari, Charles Y. Liu, Zoran Nenadic, An H. Do

Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury.

Brain Computer Interface

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

no code implementations • 14 Apr 2021 • Po T. Wang, Colin M. McCrimmon, Susan J. Shaw, Hui Gong, Luis A. Chui, Payam Heydari, Charles Y. Liu, An H. Do, Zoran Nenadic

In this study, we used subdurally recorded electrocorticogram (ECoG) signals from able-bodied subjects to design a decoder capable of predicting the walking state and step rate information.

EEG

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

no code implementations • 7 Jul 2020 • Yongcheng Li, Po T. Wang, Mukta P. Vaidya, Charles Y. Liu, Marc W. Slutzky, An H. Do

Across all subjects, an average of 83% of electrodes significantly correlated with force was located in the hemicraniectomy areas after applying ERASE.

EEG

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

no code implementations • 6 Jul 2020 • Yongcheng Li, Po T. Wang, Mukta P. Vaidya, Charles Y. Liu, Marc W. Slutzky, An H. Do

Results showed that ERASE successfully removed EMG artifacts (on average, about 75% of EMG artifacts were removed when using real EMGs as reference artifacts) while preserving the expected EEG features related to movement.

EEG