Intuitive neuromyoelectric control of a dexterous bionic arm using a modified Kalman filter
Background Multi-articulate prostheses are capable of performing dexterous hand
movements. However, clinically available control strategies fail to provide users with …
movements. However, clinically available control strategies fail to provide users with …
Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand
We describe use of a bidirectional neuromyoelectric prosthetic hand that conveys
biomimetic sensory feedback. Electromyographic recordings from residual arm muscles …
biomimetic sensory feedback. Electromyographic recordings from residual arm muscles …
Deep learning for biosignal control: Insights from basic to real-time methods with recommendations
Objective. Biosignal control is an interaction modality that allows users to interact with
electronic devices by decoding the biological signals emanating from the movements or …
electronic devices by decoding the biological signals emanating from the movements or …
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 and sensory feedback from a prosthetic hand in one human with a long-term …
Long-term performance of Utah slanted electrode arrays and intramuscular electromyographic leads implanted chronically in human arm nerves and muscles
Objective. We explore the long-term performance and stability of seven percutaneous Utah
Slanted Electrode Arrays (USEAs) and intramuscular recording leads (iEMGs) implanted …
Slanted Electrode Arrays (USEAs) and intramuscular recording leads (iEMGs) implanted …
Artificial intelligence enables real-time and intuitive control of prostheses via nerve interface
Objective: The next generation prosthetic hand that moves and feels like a real hand
requires a robust neural interconnection between the human minds and machines. Methods …
requires a robust neural interconnection between the human minds and machines. Methods …
A portable, self-contained neuroprosthetic hand with deep learning-based finger control
Objective. Deep learning-based neural decoders have emerged as the prominent approach
to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have …
to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have …
Sensory feedback for upper-limb prostheses: opportunities and barriers
The addition of sensory feedback to upper-limb prostheses has been shown to improve
control, increase embodiment, and reduce phantom limb pain. However, most commercial …
control, increase embodiment, and reduce phantom limb pain. However, most commercial …
Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison
Background Advanced prostheses can restore function and improve quality of life for
individuals with amputations. Unfortunately, most commercial control strategies do not fully …
individuals with amputations. Unfortunately, most commercial control strategies do not fully …
A bioelectric neural interface towards intuitive prosthetic control for amputees
Objective. While prosthetic hands with independently actuated digits have become
commercially available, state-of-the-art human-machine interfaces (HMI) only permit control …
commercially available, state-of-the-art human-machine interfaces (HMI) only permit control …