Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Advances on Real Time M/EEG Neural Feature Extraction

Shabestari, Payam S. ; Ribes, Delphine ; Defayes, Lara ; Cai, Danpeng ; Groves, Emily ; Behjat, Harry H. LU ; Van De Ville, Dimitri ; Kleinjung, Tobias ; Naas, Adrian and Henchoz, Nicolas , et al. (2025) 38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025 In Proceedings - IEEE Symposium on Computer-Based Medical Systems p.337-338
Abstract

This paper introduces MNE-RT, a Python package designed for real-time neural feature extraction from magne-toencephalography (MEG) and electroencephalography (EEG) signals in Brain-Computer Interface (BCI) systems. The package incorporates efficient algorithms spanning traditional univariate metrics, such as frequency band power and entropy, to advanced bivariate connectivity measures. It is compatible with various recording systems, enabling the extraction of neural targets from brain signals in real time, with potential applications in enhancing neurofeedback efficacy.

Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
MlEEG, Neural feature, Neurofeedback
host publication
Proceedings - 2025 IEEE 38th International Symposium on Computer-Based Medical Systems, CBMS 2025
series title
Proceedings - IEEE Symposium on Computer-Based Medical Systems
editor
Rodriguez-Gonzalez, Alejandro ; Sicilia, Rosa ; Prieto-Santamaria, Lucia ; Papadopoulos, George A. ; Guarrasi, Valerio ; Cazzolato, Mirela Teixeira and Kane, Bridget
pages
2 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025
conference location
Madrid, Spain
conference dates
2025-06-18 - 2025-06-20
external identifiers
  • scopus:105010604969
ISSN
1063-7125
ISBN
9798331526108
DOI
10.1109/CBMS65348.2025.00074
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 IEEE.
id
c84ffdea-274e-4c6a-af77-ccc47d185104
date added to LUP
2026-01-19 14:59:21
date last changed
2026-01-19 14:59:21
@inproceedings{c84ffdea-274e-4c6a-af77-ccc47d185104,
  abstract     = {{<p>This paper introduces MNE-RT, a Python package designed for real-time neural feature extraction from magne-toencephalography (MEG) and electroencephalography (EEG) signals in Brain-Computer Interface (BCI) systems. The package incorporates efficient algorithms spanning traditional univariate metrics, such as frequency band power and entropy, to advanced bivariate connectivity measures. It is compatible with various recording systems, enabling the extraction of neural targets from brain signals in real time, with potential applications in enhancing neurofeedback efficacy.</p>}},
  author       = {{Shabestari, Payam S. and Ribes, Delphine and Defayes, Lara and Cai, Danpeng and Groves, Emily and Behjat, Harry H. and Van De Ville, Dimitri and Kleinjung, Tobias and Naas, Adrian and Henchoz, Nicolas and Sonderegger, Andreas and Neff, Patrick}},
  booktitle    = {{Proceedings - 2025 IEEE 38th International Symposium on Computer-Based Medical Systems, CBMS 2025}},
  editor       = {{Rodriguez-Gonzalez, Alejandro and Sicilia, Rosa and Prieto-Santamaria, Lucia and Papadopoulos, George A. and Guarrasi, Valerio and Cazzolato, Mirela Teixeira and Kane, Bridget}},
  isbn         = {{9798331526108}},
  issn         = {{1063-7125}},
  keywords     = {{MlEEG; Neural feature; Neurofeedback}},
  language     = {{eng}},
  pages        = {{337--338}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings - IEEE Symposium on Computer-Based Medical Systems}},
  title        = {{Advances on Real Time M/EEG Neural Feature Extraction}},
  url          = {{http://dx.doi.org/10.1109/CBMS65348.2025.00074}},
  doi          = {{10.1109/CBMS65348.2025.00074}},
  year         = {{2025}},
}