Flexible electronics and devices as human–machine interfaces for medical robotics
Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
Demonstration of a semi-autonomous hybrid brain–machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb …
To increase the ability of brain-machine interfaces (BMIs) to control advanced prostheses
such as the modular prosthetic limb (MPL), we are develo** a novel system: the Hybrid …
such as the modular prosthetic limb (MPL), we are develo** a novel system: the Hybrid …
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 …
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 …
Shared control of a robotic arm using non-invasive brain–computer interface and computer vision guidance
Y Xu, C Ding, X Shu, K Gui, Y Bezsudnova… - Robotics and …, 2019 - Elsevier
Control of a robotic arm using a brain–computer interface (BCI) for reach and grasp activities
is one of the most fascinating applications for some severely disabled people, which is …
is one of the most fascinating applications for some severely disabled people, which is …
Gesture recognition for transhumeral prosthesis control using EMG and NIR
A key challenge associated with myoelectric prosthesis limbs is the acquisition of a good
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …
Low-frequency noise and offset rejection in DC-coupled neural amplifiers: A review and digitally-assisted design tutorial
We review integrated circuits for low-frequency noise and offset rejection as a motivation for
the presented digitally-assisted neural amplifier design methodology. Conventional AC …
the presented digitally-assisted neural amplifier design methodology. Conventional AC …
Origami-inspired soft fluidic actuation for minimally invasive large-area electrocorticography
Electrocorticography is an established neural interfacing technique wherein an array of
electrodes enables large-area recording from the cortical surface. Electrocorticography is …
electrodes enables large-area recording from the cortical surface. Electrocorticography is …
Translating the brain-machine interface
NV Thakor - Science translational medicine, 2013 - science.org
Brain-machine and brain-computer interface technologies hold great promise for use in the
recovery of sensory and motor functions lost as a result of nervous-system injuries or limb …
recovery of sensory and motor functions lost as a result of nervous-system injuries or limb …