Multiscale material engineering of a conductive polymer and a liquid metal platform for stretchable and biostable human-machine-interface bioelectronic applications
Liquid-metal-based stretchable bioelectronics can conform to the dynamic movements of
tissues and enable human-interactive biosensors to monitor various physiologic parameters …
tissues and enable human-interactive biosensors to monitor various physiologic parameters …
Arduino-based myoelectric control: towards longitudinal study of prosthesis use
Understanding how upper-limb prostheses are used in daily life helps to improve the design
and robustness of prosthesis control algorithms and prosthetic components. However, only a …
and robustness of prosthesis control algorithms and prosthetic components. However, only a …
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 …
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 …
Internet of Things for beyond-the-laboratory prosthetics research
Research on upper-limb prostheses is typically laboratory-based. Evidence indicates that
research has not yet led to prostheses that meet user needs. Inefficient communication loops …
research has not yet led to prostheses that meet user needs. Inefficient communication loops …
Robust torque predictions from electromyography across multiple levels of active exoskeleton assistance despite non-linear reorganization of locomotor output
Robotic exoskeletons can assist humans with walking by providing supplemental torque in
proportion to the user's joint torque. Electromyographic (EMG) control algorithms can …
proportion to the user's joint torque. Electromyographic (EMG) control algorithms can …
Acquisition of surface EMG using flexible and low-profile electrodes for lower extremity neuroprosthetic control
For persons with lower extremity (LE) amputation, acquisition of surface electromyography
(sEMG) from within the prosthetic socket remains a significant challenge due to the dynamic …
(sEMG) from within the prosthetic socket remains a significant challenge due to the dynamic …
Co-creation facilitates translational research on upper limb prosthetics
People who either use an upper limb prosthesis and/or have used services provided by a
prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced …
prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced …
An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention
B Jiang, H Wu, Q Xia, H Xiao, B Peng, L Wang… - Scientific Reports, 2024 - nature.com
In the field of rehabilitation, although deep learning have been widely used in multitype
gesture recognition via surface electromyography (sEMG), their higher algorithmic …
gesture recognition via surface electromyography (sEMG), their higher algorithmic …
Examining the physical and psychological effects of combining multimodal feedback with continuous control in prosthetic hands
Myoelectric prosthetic hands are typically controlled to move between discrete positions and
do not provide sensory feedback to the user. In this work, we present and evaluate a closed …
do not provide sensory feedback to the user. In this work, we present and evaluate a closed …