Myoelectric control for upper limb prostheses

C Igual, LA Pardo Jr, JM Hahne, J Igual - Electronics, 2019 - mdpi.com
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 …

Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control

T Bao, SQ Xie, P Yang, P Zhou… - IEEE journal of …, 2022 - ieeexplore.ieee.org
To develop multi-functionalhuman-machine interfaces that can help disabled people
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 …

[HTML][HTML] Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy

S Kanoga, A Kanemura, H Asoh - Biomedical Signal Processing and …, 2020 - Elsevier
Myoelectric control systems (MCSs), which recognize motions through surface
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 …

Co-adaptive control of bionic limbs via unsupervised adaptation of muscle synergies

D Yeung, IM Guerra… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

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 …

Myoelectric control performance of two degree of freedom hand-wrist prosthesis by able-bodied and limb-absent subjects

Z Zhu, J Li, WJ Boyd, C Martinez-Luna… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Recent research has advanced two degree-of-freedom (DoF), simultaneous, independent
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 …

Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback

J Li, Z Zhu, WJ Boyd, C Martinez-Luna, C Dai… - … signal processing and …, 2023 - Elsevier
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 …