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 …

Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

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 …

Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation

N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli… - Sensors, 2019 - mdpi.com
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

Edge computing: Vision and challenges

W Shi, J Cao, Q Zhang, Y Li, L Xu - IEEE internet of things …, 2016 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) and the success of rich cloud services have
pushed the horizon of a new computing paradigm, edge computing, which calls for …

Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing

E Ceolini, C Frenkel, SB Shrestha, G Taverni… - Frontiers in …, 2020 - frontiersin.org
Hand gestures are a form of non-verbal communication used by individuals in conjunction
with speech to communicate. Nowadays, with the increasing use of technology, hand …

[HTML][HTML] Surface electromyography signal processing and classification techniques

RH Chowdhury, MBI Reaz, MABM Ali, AAA Bakar… - Sensors, 2013 - mdpi.com
Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …

The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges

D Farina, N Jiang, H Rehbaum… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

D Farina, I Vujaklija, M Sartori, T Kapelner… - Nature biomedical …, 2017 - nature.com
The intuitive control of upper-limb prostheses requires a man/machine interface that directly
exploits biological signals. Here, we define and experimentally test an offline man/machine …