Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation

N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli… - Sensors, 2019 - mdpi.com
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

A review on electromyography decoding and pattern recognition for human-machine interaction

M Simao, N Mendes, O Gibaru, P Neto - Ieee Access, 2019 - ieeexplore.ieee.org
This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

A myoelectric prosthetic hand with muscle synergy–based motion determination and impedance model–based biomimetic control

A Furui, S Eto, K Nakagaki, K Shimada, G Nakamura… - Science Robotics, 2019 - science.org
Prosthetic hands are prescribed to patients who have suffered an amputation of the upper
limb due to an accident or a disease. This is done to allow patients to regain functionality of …

Current trends and confounding factors in myoelectric control: Limb position and contraction intensity

E Campbell, A Phinyomark, E Scheme - Sensors, 2020 - mdpi.com
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …

Surface electromyography (EMG) signal processing, classification, and practical considerations

A Phinyomark, E Campbell, E Scheme - Biomedical Signal Processing …, 2020 - Springer
Electromyography (EMG) is the process of measuring the electrical activity produced by
muscles throughout the body using electrodes on the surface of the skin or inserted in the …

Human machine interfaces in upper-limb prosthesis control: A survey of techniques for preprocessing and processing of biosignals

C Ahmadizadeh, M Khoshnam… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
Prostheses provide a means for individuals with amputations to regain some of the lost
functions of their amputated limb. Human-machine interfaces (HMIs), used for controlling …

Stable responsive EMG sequence prediction and adaptive reinforcement with temporal convolutional networks

JL Betthauser, JT Krall, SG Bannowsky… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Prediction of movement intentions from electromyographic (EMG) signals is typically
performed with a pattern recognition approach, wherein a short dataframe of raw EMG is …

Recurrent convolutional neural networks as an approach to position-aware myoelectric prosthesis control

HE Williams, AW Shehata, MR Dawson… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Persons with normal arm function can perform complex wrist and hand
movements over a wide range of limb positions. However, for those with transradial …

Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization

C Lin, B Wang, N Jiang, D Farina - Journal of neural engineering, 2018 - iopscience.iop.org
Objective. This paper proposes a novel simultaneous and proportional multiple degree of
freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is …

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 …