Internet of Things and Robotics in Transforming Current‐Day Healthcare Services
Technology has become an integral part of everyday lives. Recent years have witnessed
advancement in technology with a wide range of applications in healthcare. However, the …
advancement in technology with a wide range of applications in healthcare. However, the …
A narrative review: current upper limb prosthetic options and design
L Trent, M Intintoli, P Prigge, C Bollinger… - Disability and …, 2020 - Taylor & Francis
Purpose: This review was conducted to provide an overview of current literature as it relates
to upper limb difference, available componentry, and prosthetic options and design …
to upper limb difference, available componentry, and prosthetic options and design …
A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
N Malešević, A Olsson, P Sager, E Andersson… - Scientific Data, 2021 - nature.com
Control of contemporary, multi-joint prosthetic hands is commonly realized by using
electromyographic signals from the muscles remaining after amputation at the forearm level …
electromyographic signals from the muscles remaining after amputation at the forearm level …
State of the art in bionic hands
H Basumatary, SM Hazarika - IEEE Transactions on Human …, 2020 - ieeexplore.ieee.org
Prosthetic hands have made a significant influence on the quality of life of people with upper
arm amputation. Research on prosthetic hands today is focused on replicating the …
arm amputation. Research on prosthetic hands today is focused on replicating the …
Simultaneous estimation of multi-finger forces by surface electromyography and accelerometry signals
Myoelectric prostheses generally use pattern recognition strategies to decode users' gesture
intention; however, they lack intuitive force control. Regression strategy can extract force …
intention; however, they lack intuitive force control. Regression strategy can extract force …
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
Background Processing the surface electromyogram (sEMG) to decode movement intent is a
promising approach for natural control of upper extremity prostheses. To this end, this paper …
promising approach for natural control of upper extremity prostheses. To this end, this paper …
[HTML][HTML] Automatic discovery of resource-restricted convolutional neural network topologies for myoelectric pattern recognition
Abstract Convolutional Neural Networks (CNNs) have been subject to extensive attention in
the pattern recognition literature due to unprecedented performance in tasks of information …
the pattern recognition literature due to unprecedented performance in tasks of information …
A 3D Printed, Bionic Hand Powered by EMG Signals and Controlled by an Online Neural Network
K Avilés-Mendoza, NG Gaibor-León, V Asanza… - Biomimetics, 2023 - mdpi.com
About 8% of the Ecuadorian population suffers some type of amputation of upper or lower
limbs. Due to the high cost of a prosthesis and the fact that the salary of an average worker …
limbs. Due to the high cost of a prosthesis and the fact that the salary of an average worker …
Development of a biomimetic transradial prosthetic arm with shape memory alloy muscle wires
PL Bishay, J Fontana, B Raquipiso… - Engineering …, 2020 - iopscience.iop.org
This paper presents a first concept of a new biomimetic transradial prosthetic arm design,
called'MataPro-1,'that features a 3D-printed hand bone structure that mimics the shape of …
called'MataPro-1,'that features a 3D-printed hand bone structure that mimics the shape of …
End-to-end estimation of hand-and wrist forces from raw intramuscular EMG signals using LSTM networks
Processing myoelectrical activity in the forearm has for long been considered a promising
framework to allow transradial amputees to control motorized prostheses. In spite of …
framework to allow transradial amputees to control motorized prostheses. In spite of …