Flexible electronics and devices as human–machine interfaces for medical robotics

W Heng, S Solomon, W Gao - Advanced Materials, 2022 - Wiley Online Library
Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …

Multi-modal sensing techniques for interfacing hand prostheses: A review

Y Fang, N Hettiarachchi, D Zhou, H Liu - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
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 …

Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity

TJ Oxley, NL Opie, SE John, GS Rind… - Nature …, 2016 - nature.com
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 …

Mood variations decoded from multi-site intracranial human brain activity

OG Sani, Y Yang, MB Lee, HE Dawes, EF Chang… - Nature …, 2018 - nature.com
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 …

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 …

Plug-and-play control of a brain–computer interface through neural map stabilization

DB Silversmith, R Abiri, NF Hardy, N Natraj… - Nature …, 2021 - nature.com
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 …

A survey of sensor fusion methods in wearable robotics

D Novak, R Riener - Robotics and Autonomous Systems, 2015 - Elsevier
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 …

Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject

G Hotson, DP McMullen, MS Fifer… - Journal of neural …, 2016 - iopscience.iop.org
Objective. We used native sensorimotor representations of fingers in a brain–machine
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 …

DP McMullen, G Hotson, KD Katyal… - … on Neural Systems …, 2013 - ieeexplore.ieee.org
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 …

Towards clinical application of implantable brain–computer interfaces for people with late-stage ALS: medical and ethical considerations

MJ Vansteensel, E Klein, G van Thiel, M Gaytant… - Journal of …, 2023 - Springer
Individuals with amyotrophic lateral sclerosis (ALS) frequently develop speech and
communication problems in the course of their disease. Currently available augmentative …