prosthetics

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
A New Modeling Method to Characterize the Stance Control Function of Prosthetic Knee Joints

A New Modeling Method to Characterize the Stance Control Function of Prosthetic Knee Joints

Author(s): Jan Andrysek, Jessica Tomasi, Matthew Leineweber, Arezoo Eshraghi
A New Modeling Method to Characterize the Stance Control Function of Prosthetic Knee Joints 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Biomechanical models can inform design and optimization of prosthetic devices by connecting empirically-derived biomechanical data to device design parameters. A new method is presented to characterize the function of prosthetic…

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Depth Sensing for Improved Control of Lower Limb Prostheses

Author(s): Nili Krausz, Tommaso Lenzi, Levi Hargrove
Depth Sensing for Improved Control of Lower Limb Prostheses 170 177 IEEE Transactions on Biomedical Engineering (TBME)

  We propose the addition of environmental sensing, in the form of depth sensing, to the control of powered, lower-limb prostheses. Currently, the prediction of which locomotion mode-based controller to…

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