Multi-modal sensing techniques for interfacing hand prostheses: A review
This paper provides a comprehensive survey of current state of the bio-sensing technologies
focusing on hand motion capturing and its application to interfacing hand prostheses. These …
focusing on hand motion capturing and its application to interfacing hand prostheses. These …
Towards clinical application of implantable brain–computer interfaces for people with late-stage ALS: medical and ethical considerations
Individuals with amyotrophic lateral sclerosis (ALS) frequently develop speech and
communication problems in the course of their disease. Currently available augmentative …
communication problems in the course of their disease. Currently available augmentative …
Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks
Understanding the dynamical transformation of neural activity to behavior requires new
capabilities to nonlinearly model, dissociate and prioritize behaviorally relevant neural …
capabilities to nonlinearly model, dissociate and prioritize behaviorally relevant neural …
Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar …
TS Davis, HAC Wark, DT Hutchinson… - Journal of neural …, 2016 - iopscience.iop.org
Objective. An important goal of neuroprosthetic research is to establish bidirectional
communication between the user and new prosthetic limbs that are capable of controlling> …
communication between the user and new prosthetic limbs that are capable of controlling> …
Clinical translation of a high-performance neural prosthesis
Neural prostheses have the potential to improve the quality of life of individuals with
paralysis by directly map** neural activity to limb-and computer-control signals. We …
paralysis by directly map** neural activity to limb-and computer-control signals. We …
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …
A survey of sensor fusion methods in wearable robotics
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject
Objective. We used native sensorimotor representations of fingers in a brain–machine
interface (BMI) to achieve immediate online control of individual prosthetic fingers …
interface (BMI) to achieve immediate online control of individual prosthetic fingers …
Beyond body maps: Information content of specific body parts is distributed across the somatosensory homunculus
The homunculus in primary somatosensory cortex (S1) is famous for its body part selectivity,
but this dominant feature may eclipse other representational features, eg, information …
but this dominant feature may eclipse other representational features, eg, information …
Decoding movement from electrocorticographic activity: a review
K Volkova, MA Lebedev, A Kaplan… - Frontiers in …, 2019 - frontiersin.org
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for
people suffering from neurological disabilities. This recording technique combines adequate …
people suffering from neurological disabilities. This recording technique combines adequate …