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 …
Active upper limb prostheses: A review on current state and upcoming breakthroughs
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 …
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
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 …
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) …
Myoelectric control systems for upper limb wearable robotic exoskeletons and exosuits—A systematic review
In recent years, myoelectric control systems have emerged for upper limb wearable robotic
exoskeletons to provide movement assistance and/or to restore motor functions in people …
exoskeletons to provide movement assistance and/or to restore motor functions in people …
Toward generalization of sEMG-based pattern recognition: A novel feature extraction for gesture recognition
Gesture recognition via surface electromyography (sEMG) has drawn significant attention in
the field of human–computer interaction. An important factor limiting the performance of …
the field of human–computer interaction. An important factor limiting the performance of …
Activities of daily living-based rehabilitation system for arm and hand motor function retraining after stroke
X Song, SS Van De Ven, L Liu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Most stroke survivors have difficulties completing activities of daily living (ADLs)
independently. However, few rehabilitation systems have focused on ADLs-related training …
independently. However, few rehabilitation systems have focused on ADLs-related training …
Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements
Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous
control with multiple degrees of freedom. Emerging methods range from data-driven …
control with multiple degrees of freedom. Emerging methods range from data-driven …
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 …
Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses
Abstract Background and Objective Mobility of subject (MoS) and muscle contraction force
variation (MCFV) have been shown to individually degrade the performance of multiple …
variation (MCFV) have been shown to individually degrade the performance of multiple …