Myoelectric control for upper limb prostheses
State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control
To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
A comprehensive review of myoelectric prosthesis control
MR Mohebbian, M Nosouhi, F Fazilati… - arXiv preprint arXiv …, 2021 - arxiv.org
Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one
of the externally-powered active prosthesis categories, requires proper processing units in …
of the externally-powered active prosthesis categories, requires proper processing units in …
[HTML][HTML] Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy
Myoelectric control systems (MCSs), which recognize motions through surface
electromyograms (sEMGs), present potential applicability for clinical, recreational, and …
electromyograms (sEMGs), present potential applicability for clinical, recreational, and …
A framework for optimizing co-adaptation in body-machine interfaces
D De Santis - Frontiers in Neurorobotics, 2021 - frontiersin.org
The operation of a human-machine interface is increasingly often referred to as a two-
learners problem, where both the human and the interface independently adapt their …
learners problem, where both the human and the interface independently adapt their …
Co-adaptive control of bionic limbs via unsupervised adaptation of muscle synergies
Objective: In this work, we present a myoelectric interface that extracts natural motor
synergies from multi-muscle signals and adapts in real-time with new user inputs. With this …
synergies from multi-muscle signals and adapts in real-time with new user inputs. With this …
GADF/GASF-HOG: feature extraction methods for hand movement classification from surface electromyography
F Xiao, Y Chen, Y Zhu - Journal of Neural Engineering, 2020 - iopscience.iop.org
Objective Human intention gesture recognition is widely used in hand rehabilitation, artificial
limb control, teleoperation, human-computer interaction and other fields. It has great …
limb control, teleoperation, human-computer interaction and other fields. It has great …
Myoelectric control performance of two degree of freedom hand-wrist prosthesis by able-bodied and limb-absent subjects
Recent research has advanced two degree-of-freedom (DoF), simultaneous, independent
and proportional control of hand-wrist prostheses using surface electromyogram signals …
and proportional control of hand-wrist prostheses using surface electromyogram signals …
Transfer learning-based muscle activity decoding scheme by low-frequency sEMG for wearable low-cost application
Y Li, W Zhang, Q Zhang, N Zheng - IEEE Access, 2021 - ieeexplore.ieee.org
The surface electromyogram (sEMG) contains a wealth of motion information, which can
reflect user's muscle motion intentions. The decoding based on sEMG has been widely used …
reflect user's muscle motion intentions. The decoding based on sEMG has been widely used …
Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback
Most transradial prosthesis users with conventional “Sequential” myoelectric control have
two electrode sites which control one degree of freedom (DoF) at a time. Rapid EMG co …
two electrode sites which control one degree of freedom (DoF) at a time. Rapid EMG co …