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 …

EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges

C Fang, B He, Y Wang, J Cao, S Gao - Biosensors, 2020 - mdpi.com
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

Current solutions and future trends for robotic prosthetic hands

V Mendez, F Iberite, S Shokur… - Annual Review of Control …, 2021 - annualreviews.org
The desire for functional replacement of a missing hand is an ancient one. Historically,
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …

Motor control and sensory feedback enhance prosthesis embodiment and reduce phantom pain after long-term hand amputation

DM Page, JA George, DT Kluger, C Duncan… - Frontiers in human …, 2018 - frontiersin.org
We quantified prosthesis embodiment and phantom pain reduction associated with motor
control and sensory feedback from a prosthetic hand in one human with a long-term …

Control capabilities of myoelectric robotic prostheses by hand amputees: a scientific research and market overview

M Atzori, H Müller - Frontiers in systems neuroscience, 2015 - frontiersin.org
Hand amputation can dramatically affect the capabilities of a person. Cortical reorganization
occurs in the brain, but the motor and somatosensorial cortex can interact with the remnant …

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

T Bao, SQ **e, 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) …

Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition

E Eddy, E Campbell, S Bateman… - … in Bioengineering and …, 2024 - frontiersin.org
Myoelectric control, the use of electromyogram (EMG) signals generated during muscle
contractions to control a system or device, is a promising input, enabling always-available …

Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time

C Chen, Y Yu, X Sheng, D Farina… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …

Finger joint angle estimation based on motoneuron discharge activities

C Dai, X Hu - IEEE journal of biomedical and health informatics, 2019 - ieeexplore.ieee.org
Estimation of joint kinematics plays an important role in intuitive human-machine
interactions. However, continuous and reliable estimation of small (eg, the finger) joint …

Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

M Markovic, S Dosen, D Popovic… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Myoelectric activity volitionally generated by the user is often used for controlling
hand prostheses in order to replicate the synergistic actions of muscles in healthy humans …