Objective. We explore the long-term performance and stability of seven percutaneous Utah
Slanted Electrode Arrays (USEAs) and intramuscular recording leads (iEMGs) implanted …

Objective: The next generation prosthetic hand that moves and feels like a real hand
requires a robust neural interconnection between the human minds and machines. Methods …

Objective. Deep learning-based neural decoders have emerged as the prominent approach
to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have …

An amputation is the mutilation of a body part, which can be a limb or part of a limb. For the
World Health Organization (WHO), amputees represent approximately 0.25% and 1.25% of …

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

Previous literature shows that deep learning is an effective tool to decode the motor intent
from neural signals obtained from different parts of the nervous system. However, deep …

This paper describes a portable, prosthetic control system and the first at-home use of a
multi-degree-of-freedom, proportionally controlled bionic arm. The system uses a modified …

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 …

Background This research aims to improve the control of assistive devices for individuals
with hemiparesis after stroke by providing intuitive and proportional motor control. Stroke is …

The validation of myoelectric prosthetic control strategies for individuals experiencing upper-
limb loss is hindered by the time and cost affiliated with traditional custom-fabricated …