The neural mechanisms of manual dexterity

AR Sobinov, SJ Bensmaia - Nature Reviews Neuroscience, 2021 - nature.com
The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as grasping to extraordinary ones such as virtuoso …

Toward higher-performance bionic limbs for wider clinical use

D Farina, I Vujaklija, R Brånemark, AMJ Bull… - Nature biomedical …, 2023 - nature.com
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by
the user as belonging to their own body. Robotic limbs can convey information about the …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees

PP Vu, AK Vaskov, ZT Irwin, PT Henning… - Science translational …, 2020 - science.org
Peripheral nerves provide a promising source of motor control signals for neuroprosthetic
devices. Unfortunately, the clinical utility of current peripheral nerve interfaces is limited by …

Adaptive model-based myoelectric control for a soft wearable arm exosuit: A new generation of wearable robot control

N Lotti, M Xiloyannis, G Durandau… - IEEE Robotics & …, 2020 - ieeexplore.ieee.org
Despite advances in mechatronic design, the widespread adoption of wearable robots for
supporting human mobility has been hampered by 1) ergonomic limitations in rigid …

Voluntary control of wearable robotic exoskeletons by patients with paresis via neuromechanical modeling

G Durandau, D Farina, G Asín-Prieto… - … of neuroengineering and …, 2019 - Springer
Background Research efforts in neurorehabilitation technologies have been directed
towards creating robotic exoskeletons to restore motor function in impaired individuals …

Ankle joint torque estimation using an EMG-driven neuromusculoskeletal model and an artificial neural network model

L Zhang, Z Li, Y Hu, C Smith… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent decades, there has been an increasing interest in the use of robotic powered
exoskeletons to assist patients with movement disorders in rehabilitation and daily life …

A review of myoelectric control for prosthetic hand manipulation

Z Chen, H Min, D Wang, Z Xia, F Sun, B Fang - Biomimetics, 2023 - mdpi.com
Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

Lower-limb joint torque prediction using LSTM neural networks and transfer learning

L Zhang, D Soselia, R Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation of joint torque during movement provides important information in several
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …

Machine learning methods to support personalized neuromusculoskeletal modelling

DJ Saxby, BA Killen, C Pizzolato, CP Carty… - … and Modeling in …, 2020 - Springer
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …