Editorial: Improving Neuroprosthetics Through Novel Techniques for Processing Electrophysiological Human Brain Signals

In this manuscript, the authors offer a perspective on novel methods for interfacing with the nervous system in the neurorehabilitation context and advocate for refined neurophysiological markers stemming from subject-specific features extraction to improve non-invasive BCIs. [...]new datasets such...

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Bibliographic Details
Published in:Frontiers in neuroscience 2022-06, Vol.16, p.937801-937801
Main Authors: Semprini, Marianna, Arnulfo, Gabriele, Delis, Ioannis, Siebenhühner, Felix, Susi, Gianluca
Format: Article
Language:English
Subjects:
artifact removal
BCI—brain computer interface
Biomarkers
Brain research
computational model
Computational neuroscience
Conflicts of interest
Datasets
Editorials
EEG
Electroencephalography
Nervous system
Neurology
Neuroplasticity
Neuroscience
Prostheses
Prosthetics
Rehabilitation
Signal processing
Standardization
stereo-EEG (SEEG)
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Description
Summary:In this manuscript, the authors offer a perspective on novel methods for interfacing with the nervous system in the neurorehabilitation context and advocate for refined neurophysiological markers stemming from subject-specific features extraction to improve non-invasive BCIs. [...]new datasets such as the one proposed by Khan et al. are needed to test computational models describing new therapeutic approaches and neuroplasticity mechanisms underlying recovery. [...]the identification of novel biomarkers based on brain electrophysiological recordings will enable new diagnostic tools and personalized approaches, as proposed by Ye et al. and Papadopoulos et al. [...]standardization of signal processing techniques as suggested by the work of Liu et al. and Salahuddin et al. is necessary to ensure the adoption of electrophysiological brain signals for clinical applications based on neuroprosthetics.
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2022.937801