[HTML][HTML] Walking naturally after spinal cord injury using a brain–spine interface
H Lorach, A Galvez, V Spagnolo, F Martel, S Karakas… - Nature, 2023 - nature.com
A spinal cord injury interrupts the communication between the brain and the region of the
spinal cord that produces walking, leading to paralysis,. Here, we restored this …
spinal cord that produces walking, leading to paralysis,. Here, we restored this …
An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration
AL Benabid, T Costecalde, A Eliseyev… - The Lancet …, 2019 - thelancet.com
Background Approximately 20% of traumatic cervical spinal cord injuries result in
tetraplegia. Neuroprosthetics are being developed to manage this condition and thus …
tetraplegia. Neuroprosthetics are being developed to manage this condition and thus …
Uncovering consciousness in unresponsive ICU patients: technical, medical and ethical considerations
B Rohaut, A Eliseyev, J Claassen - Critical Care, 2019 - Springer
This article is one of ten reviews selected from the Annual Update in Intensive Care and
Emergency Medicine 2019. Other selected articles can be found online at https://www …
Emergency Medicine 2019. Other selected articles can be found online at https://www …
Nine decades of electrocorticography: A comparison between epidural and subdural recordings
In recent years, electrocorticography (ECoG) has arisen as a neural signal recording tool in
the development of clinically viable neural interfaces. ECoG electrodes are generally placed …
the development of clinically viable neural interfaces. ECoG electrodes are generally placed …
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
A Moly, T Costecalde, F Martel, M Martin… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. The article aims at addressing 2 challenges to step motor brain-computer
interface (BCI) out of laboratories: asynchronous control of complex bimanual effectors with …
interface (BCI) out of laboratories: asynchronous control of complex bimanual effectors with …
Decoding ECoG signal into 3D hand translation using deep learning
Objective. Motor brain-computer interfaces (BCIs) are a promising technology that may
enable motor-impaired people to interact with their environment. BCIs would potentially …
enable motor-impaired people to interact with their environment. BCIs would potentially …
Unsupervised adaptation of an ECoG based brain–computer interface using neural correlates of task performance
V Rouanne, T Costecalde, AL Benabid, T Aksenova - Scientific Reports, 2022 - nature.com
Brain–computer interfaces (BCIs) translate brain signals into commands to external
effectors, and mainly target severely disabled users. The usability of BCIs may be improved …
effectors, and mainly target severely disabled users. The usability of BCIs may be improved …
Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry
Nanoporous materials are of great interest in many applications, such as catalysis,
separation, and energy storage. The performance of these materials is closely related to …
separation, and energy storage. The performance of these materials is closely related to …
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
Introduction In brain-computer interfaces (BCI) research, recording data is time-consuming
and expensive, which limits access to big datasets. This may influence the BCI system …
and expensive, which limits access to big datasets. This may influence the BCI system …
Development of a brain-computer interface for patients in the critical care setting
Objective Behaviorally unresponsive patients in intensive care units (ICU) are unable to
consistently and effectively communicate their most fundamental physical needs. Brain …
consistently and effectively communicate their most fundamental physical needs. Brain …