The science and engineering behind sensitized brain-controlled bionic hands
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
Proceedings of the first workshop on peripheral machine interfaces: going beyond traditional surface electromyography
One of the hottest topics in rehabilitation robotics is that of proper control of prosthetic
devices. Despite decades of research, the state of the art is dramatically behind the …
devices. Despite decades of research, the state of the art is dramatically behind the …
Decoding motor imagery from the posterior parietal cortex of a tetraplegic human
Nonhuman primate and human studies have suggested that populations of neurons in the
posterior parietal cortex (PPC) may represent high-level aspects of action planning that can …
posterior parietal cortex (PPC) may represent high-level aspects of action planning that can …
Ten-dimensional anthropomorphic arm control in a human brain− machine interface: difficulties, solutions, and limitations
Objective. In a previous study we demonstrated continuous translation, orientation and one-
dimensional gras** control of a prosthetic limb (seven degrees of freedom) by a human …
dimensional gras** control of a prosthetic limb (seven degrees of freedom) by a human …
A high-performance neural prosthesis enabled by control algorithm design
Neural prostheses translate neural activity from the brain into control signals for guiding
prosthetic devices, such as computer cursors and robotic limbs, and thus offer individuals …
prosthetic devices, such as computer cursors and robotic limbs, and thus offer individuals …
Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity
The instability of neural recordings can render clinical brain–computer interfaces (BCIs)
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …
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 …
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
Cortically-controlled prosthetic systems aim to help disabled patients by translating neural
signals from the brain into control signals for guiding prosthetic devices. Recent reports have …
signals from the brain into control signals for guiding prosthetic devices. Recent reports have …
Making brain–machine interfaces robust to future neural variability
A major hurdle to clinical translation of brain–machine interfaces (BMIs) is that current
decoders, which are trained from a small quantity of recent data, become ineffective when …
decoders, which are trained from a small quantity of recent data, become ineffective when …
The role of muscle synergies in myoelectric control: trends and challenges for simultaneous multifunction control
Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …
due to the ability to non-invasively measure human motion intent. However, current control …