Robhand: A hand exoskeleton with real-time emg-driven embedded control. quantifying hand gesture recognition delays for bilateral rehabilitation

A Cisnal, J Pérez-Turiel, JC Fraile, D Sierra… - IEEE …, 2021 - ieeexplore.ieee.org
Assisted bilateral rehabilitation has been proven to help patients improve their paretic limb
ability and promote motor recovery, especially in upper limbs, after suffering a …

Review on electromyography signal acquisition and processing

V Gohel, N Mehendale - Biophysical reviews, 2020 - Springer
Electromyography (EMG) is a technique for recording biomedical electrical signals obtained
from the neuromuscular activities. These signals are used to monitor medical abnormalities …

Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition

A Rahimi, S Benatti, P Kanerva… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
The mathematical properties of high-dimensional spaces seem remarkably suited for
describing behaviors produces by brains. Brain-inspired hyperdimensional computing …

A versatile embedded platform for EMG acquisition and gesture recognition

S Benatti, F Casamassima, B Milosevic… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Wearable devices offer interesting features, such as low cost and user friendliness, but their
use for medical applications is an open research topic, given the limited hardware resources …

[PDF][PDF] PULP: A parallel ultra low power platform for next generation IoT applications

D Rossi, F Conti, A Marongiu… - 2015 IEEE Hot …, 2015 - pdfs.semanticscholar.org
State retentive (no state retentive registers and memories) Ultra-fast transitions (tens of ns
depending on n-well area to bias) Low area overhead for isolation (3µm spacing for deep n …

Design of a flexible wearable smart sEMG recorder integrated gradient boosting decision tree based hand gesture recognition

W Song, Q Han, Z Lin, N Yan, D Luo… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper proposed a wearable smart sEMG recorder integrated gradient boosting decision
tree (GBDT) based hand gesture recognition. A hydrogel-silica gel based flexible surface …

A sEMG-driven soft exosuit based on twisted string actuators for elbow assistive applications

M Hosseini, R Meattini, A San-Millan… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
The scope of this letter is to show the applicability of the Twisted String Actuators (TSAs) for
lightweight, wearable and assistive robotic applications. To this aim, we have developed a …

Galileo hand: An anthropomorphic and affordable upper-limb prosthesis

J Fajardo, V Ferman, D Cardona, G Maldonado… - IEEE …, 2020 - ieeexplore.ieee.org
The strict development processes of commercial upper-limb prostheses and the complexity
of research projects required for their development makes them expensive for end users …

Power line interference removal for high-quality continuous biosignal monitoring with low-power wearable devices

M Tomasini, S Benatti, B Milosevic… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Mobile and long-term recording of biomedical signals, such as electrocardiogram (ECG),
electromyogram (EMG), and EEG, can improve diagnosis and monitor the evolution of …

Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control

D Brunelli, AM Tadesse, B Vodermayer… - … on advances in …, 2015 - ieeexplore.ieee.org
Prosthetic hand control based on the acquisition and processing of surface
electromyography signals (sEMG) is a well-established method that makes use of the …