Long-term performance of Utah slanted electrode arrays and intramuscular electromyographic leads implanted chronically in human arm nerves and muscles

JA George, DM Page, TS Davis… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. We explore the long-term performance and stability of seven percutaneous Utah
Slanted Electrode Arrays (USEAs) and intramuscular recording leads (iEMGs) implanted …

The Use of Invasive and Non-Invasive Electrodes in Novel Technology of Upper Limb Prostheses: A Current Review

D Terrazas-Rodas… - 2023 International Seminar …, 2023 - ieeexplore.ieee.org
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 …

Artificial intelligence enables real-time and intuitive control of prostheses via nerve interface

DK Luu, AT Nguyen, M Jiang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

A portable, self-contained neuroprosthetic hand with deep learning-based finger control

AT Nguyen, MW Drealan, DK Luu… - Journal of neural …, 2021 - iopscience.iop.org
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 …

Robust torque predictions from electromyography across multiple levels of active exoskeleton assistance despite non-linear reorganization of locomotor output

JA George, AJ Gunnell, D Archangeli, G Hunt… - Frontiers in …, 2021 - frontiersin.org
Robotic exoskeletons can assist humans with walking by providing supplemental torque in
proportion to the user's joint torque. Electromyographic (EMG) control algorithms can …

Deep learning-based approaches for decoding motor intent from peripheral nerve signals

DK Luu, AT Nguyen, M Jiang, J Xu… - Frontiers in …, 2021 - frontiersin.org
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 …

Portable take-home system enables proportional control and high-resolution data logging with a multi-degree-of-freedom bionic arm

MR Brinton, E Barcikowski, T Davis… - Frontiers in Robotics …, 2020 - frontiersin.org
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 …

Electromyographically controlled prosthetic wrist improves dexterity and reduces compensatory movements without added cognitive load

CD Olsen, NR Olsen, ES Stone, TN Tully… - Scientific Reports, 2024 - nature.com
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 …

Proportional myoelectric control of a virtual bionic arm in participants with hemiparesis, muscle spasticity, and impaired range of motion

CJ Thomson, FR Mino, DR Lopez, PP Maitre… - Journal of …, 2024 - Springer
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 …

A multi-user transradial functional-test socket for validation of new myoelectric prosthetic control strategies

TC Hansen, AR Citterman, ES Stone, TN Tully… - Frontiers in …, 2022 - frontiersin.org
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 …