Limb amputation can cause severe functional disability for the performance of activities of
daily living. Previous studies have found differences in cognitive demands imposed by …

Background: Artificial muscles are an active research area now. Methods: A bibliometric
analysis was performed to evaluate the development of artificial muscles based on research …

Semi-autonomous control strategies for prosthetic hands provide a promising way to simplify
and improve the grasping process for the user by adopting techniques usually applied in …

Robotic exoskeletons can assist humans with walking by providing supplemental torque in
proportion to the user's joint torque. Electromyographic (EMG) control algorithms can …

Objective: Human neuromuscular reflex control provides a biological model for a compliant
hand prosthesis. Here we present a computational approach to understanding the emerging …

Motion intent recognition for controlling prosthetic systems has long relied on machine
learning algorithms. Artificial neural networks have shown great promise for solving such …

Wrist function is a top priority for transradial amputees. However, the combined functional,
biomechanical, and cognitive impact of using a powered prosthetic wrist is unclear. Here, we …

In this article, we present electromyography analysis of human activity-database 1 (EMAHA-
DB1), a novel dataset of multichannel surface electromyography (sEMG) signals to evaluate …

Electromyographic (EMG) control relies on supervised-learning algorithms that correlate
EMG to motor intent. The quality of the training dataset is critical to the runtime performance …

Intuitive regression control of prostheses relies on training algorithms to correlate biological
recordings to motor intent. The quality of the training dataset is critical to run-time regression …