Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation
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 …
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
A review on electromyography decoding and pattern recognition for human-machine interaction
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 …
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 …
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
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
Surface electromyography (EMG) signal processing, classification, and practical considerations
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 …
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
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 …
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 …
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
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 …
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
Objective. This paper proposes a novel simultaneous and proportional multiple degree of
freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is …
freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is …
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 …