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 …
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 …
Deep learning-based approaches for decoding motor intent from peripheral nerve signals
Previous literature shows that deep learning is an effective tool to decode the motor intent
from neural signals obtained from different parts of the nervous system. However, deep …
from neural signals obtained from different parts of the nervous system. However, deep …
Repeaters with fast transitions from low-power standby to low-frequency signal transmission
JS Wang, KW Choy, KH Yu - US Patent 10,425,124, 2019 - Google Patents
US10425124B1 - Repeaters with fast transitions from low-power standby to low-frequency
signal transmission - Google Patents US10425124B1 - Repeaters with fast transitions from …
signal transmission - Google Patents US10425124B1 - Repeaters with fast transitions from …
Achieving super-resolution with redundant sensing
Objective: A new technique is presented to enhance the precision of the analog-to-digital
(AD) and digital-to-analog (DA) conversion, which are fundamental operations of many …
(AD) and digital-to-analog (DA) conversion, which are fundamental operations of many …
Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design
Bioelectric neural interfaces are the fundamental technologies underlying many modern-day
neuroscience studies and biomedical applications. They are among the most promising …
neuroscience studies and biomedical applications. They are among the most promising …
System and method for a super-resolution digital-to-analog converter based on redundant sensing
A digital-to-analog converter device including a set of components, each component
included in the set of components including a number of unit cells, each unit cell being …
included in the set of components including a number of unit cells, each unit cell being …
System and method for a super-resolution digital-to-analog converter based on redundant sensing
A digital-to-analog converter device including a set of components, each component
included in the set of components including a number of unit cells, each unit cell being …
included in the set of components including a number of unit cells, each unit cell being …