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 …

A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

L Bi, C Guan - Biomedical Signal Processing and Control, 2019 - Elsevier
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system

C Tang, Z Xu, E Occhipinti, W Yi, M Xu, S Kumar… - Nano Energy, 2023 - Elsevier
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

Robust simultaneous myoelectric control of multiple degrees of freedom in wrist-hand prostheses by real-time neuromusculoskeletal modeling

M Sartori, G Durandau, S Došen… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Robotic prosthetic limbs promise to replace mechanical function of lost biological
extremities and restore amputees' capacity of moving and interacting with the environment …

A review of myoelectric control for prosthetic hand manipulation

Z Chen, H Min, D Wang, Z ** for man-machine interfacing
T Kapelner, M Sartori, F Negro, D Farina - Scientific reports, 2020 - nature.com
We propose a myoelectric control method based on neural data regression and
musculoskeletal modeling. This paradigm uses the timings of motor neuron discharges …

Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements

L Pan, DL Crouch, H Huang - IEEE transactions on neural …, 2019 - ieeexplore.ieee.org
Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous
control with multiple degrees of freedom. Emerging methods range from data-driven …

Ultrasoft porous 3D conductive dry electrodes for electrophysiological sensing and myoelectric control

S Yao, W Zhou, R Hinson, P Dong, S Wu… - Advanced materials …, 2022 - Wiley Online Library
Biopotential electrodes have found broad applications in health monitoring, human–
machine interactions, and rehabilitation. This article reports the fabrication and applications …