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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 …
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 …
Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity
High-fidelity intracranial electrode arrays for recording and stimulating brain activity have
facilitated major advances in the treatment of neurological conditions over the past decade …
facilitated major advances in the treatment of neurological conditions over the past decade …
Mood variations decoded from multi-site intracranial human brain activity
The ability to decode mood state over time from neural activity could enable closed-loop
systems to treat neuropsychiatric disorders. However, this decoding has not been …
systems to treat neuropsychiatric disorders. However, this decoding has not been …
An electrocorticographic brain interface in an individual with tetraplegia
W Wang, JL Collinger, AD Degenhart… - PloS one, 2013 - journals.plos.org
Brain-computer interface (BCI) technology aims to help individuals with disability to control
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …
Plug-and-play control of a brain–computer interface through neural map stabilization
Brain–computer interfaces (BCIs) enable control of assistive devices in individuals with
severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor …
severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor …
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 …
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 …
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 …