decoding

Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks

Author(s): Joseph L. Betthauser, John T. Krall, Shain G. Bannowsky, Gyorgy Levay, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor
Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Movement prediction from EMG can be performed by compressing a short window of EMG into a feature-encoding that is meaningful for classification— an approach that can cause erratic prediction behavior. Temporal convolutional networks (TCN) leverage temporal information from EMG to achieve superior predictions for 3 simultaneous degrees-of-freedom that are more accurate and stable, have a very low response delay, and allow for novel types of interactive training. Addressing EMG decoding as a sequential prediction problem requires a new set of considerations that will lead to enhancements in the reliability, responsiveness, and movement complexity available from prosthesis control systems. read more
Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform

Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform

Author(s): Colin M. McCrimmon, Jonathan L. Fu, Ming Wang, Lucas Silva Lopes, Po T. Wang, Alireza Karimi-Bidhendi, Charles Y. Liu, Payam Heydari, Zoran Nenadic, An H. Do
Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Conventional brain-computer interfaces (BCIs) are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains…

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Decoding Brain States Based on Magnetoencephalography from Pre-specified Cortical Regions

Author(s): Jinyin Zhang, Xin Li, Stephen T. Foldes, Wei Wang, Jennifer L. Collinger, Douglas J. Weber, Anto Bagić
Decoding Brain States Based on Magnetoencephalography from Pre-specified Cortical Regions 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Jinyin Zhang, Xin Li, Stephen T. Foldes, Wei Wang, Jennifer L. Collinger, Douglas J. Weber, Anto Bagić, Carnegie Mellon University, & University of Pittsburgh, USA Magnetoencephalography (MEG) decoding is a…

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