[HTML][HTML] 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 …
[HTML][HTML] Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment
P Maceira-Elvira, T Popa, AC Schmid… - … of neuroengineering and …, 2019 - Springer
Stroke is one of the main causes of long-term disability worldwide, placing a large burden on
individuals and society. Rehabilitation after stroke consists of an iterative process involving …
individuals and society. Rehabilitation after stroke consists of an iterative process involving …
Deep learning for electromyographic hand gesture signal classification using transfer learning
U Côté-Allard, CL Fall, A Drouin… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In recent years, deep learning algorithms have become increasingly more prominent for
their unparalleled ability to automatically learn discriminant features from large amounts of …
their unparalleled ability to automatically learn discriminant features from large amounts of …
[HTML][HTML] Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands
Natural control methods based on surface electromyography (sEMG) and pattern
recognition are promising for hand prosthetics. However, the control robustness offered by …
recognition are promising for hand prosthetics. However, the control robustness offered by …
[HTML][HTML] Comparison of six electromyography acquisition setups on hand movement classification tasks
Hand prostheses controlled by surface electromyography are promising due to the non-
invasive approach and the control capabilities offered by machine learning. Nevertheless …
invasive approach and the control capabilities offered by machine learning. Nevertheless …
[HTML][HTML] Electromyography data for non-invasive naturally-controlled robotic hand prostheses
Recent advances in rehabilitation robotics suggest that it may be possible for hand-
amputated subjects to recover at least a significant part of the lost hand functionality. The …
amputated subjects to recover at least a significant part of the lost hand functionality. The …
[HTML][HTML] Self-recalibrating surface EMG pattern recognition for neuroprosthesis control based on convolutional neural network
Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …
recognition is a promising approach for upper limb neuroprosthetic control. However …
[HTML][HTML] Surface electromyography signal processing and classification techniques
Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …
[HTML][HTML] Feature extraction and selection for myoelectric control based on wearable EMG sensors
A Phinyomark, R N. Khushaba, E Scheme - Sensors, 2018 - mdpi.com
Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …
advancements in wearable sensors, wireless communication and embedded technologies …
Myoelectric control of prosthetic hands: state-of-the-art review
P Geethanjali - Medical Devices: Evidence and Research, 2016 - Taylor & Francis
Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …
identification of user intention to potentially control assistive devices for amputees, orthotic …