Editorial

Published on 06 Aug 2024

Editorial: Advances and challenges to bridge computational intelligence and neuroscience for brain-computer interface

in Neurotechnology and Systems Neuroergonomics

Avinash Kumar Singh
Luigi Bianchi
Davide Valeriani
Masaki Nakanishi

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1461494

850 views

Original Research

Published on 26 Jun 2024

Shredding artifacts: extracting brain activity in EEG from extreme artifacts during skateboarding using ASR and ICA

in Neurotechnology and Systems Neuroergonomics

Daniel E. Callan
Juan Jesus Torre–Tresols
Jamie Laguerta
Shin Ishii

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1358660

1,492 views

Original Research

Published on 19 Jun 2024

Encoding temporal information in deep convolution neural network

in Neurotechnology and Systems Neuroergonomics

Avinash Kumar Singh
Luigi Bianchi

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1287794

985 views

Original Research

Published on 10 Jun 2024

Measuring aviator workload using EEG: an individualized approach to workload manipulation

in Neurotechnology and Systems Neuroergonomics

Kathryn A. Feltman
Johnathan F. Vogl
Aaron McAtee
Amanda M. Kelley

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1397586

1,148 views

Review

Published on 05 Jun 2024

Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications

in Neurotechnology and Systems Neuroergonomics

Franziska Klein

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1286586

2,809 views
3 citations

Technology and Code

Published on 15 May 2024

Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection

in Neurotechnology and Systems Neuroergonomics

Yanzhao Pan
Thorsten O. Zander
Marius Klug

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1346791

1,111 views

Original Research

Published on 12 Mar 2024

Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks

in Neurotechnology and Systems Neuroergonomics

Jesse A. Mark
Adrian Curtin
Amanda E. Kraft
Matthias D. Ziegler
Hasan Ayaz

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1345507

3,317 views
4 citations

Original Research

Published on 11 Mar 2024

On decoding of rapid motor imagery in a diverse population using a high-density NIRS device

in Neurotechnology and Systems Neuroergonomics

Christian Kothe
Grant Hanada
Sean Mullen
Tim Mullen

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1355534

1,463 views
1 citation

Original Research

Published on 23 Feb 2024

Cerebral oxygenation and perfusion kinetics monitoring of military aircrew at high G using novel fNIRS wearable system

in Neurotechnology and Systems Neuroergonomics

Thibault Roumengous
R. Casey Boutwell
Jason Strohmaier
Jared Allen
Brett Goldbach
Nicholas Marotta
Tanner Songkakul
Shelby Critcher
Bria G. Morse
Jeremy M. A. Beer

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1357905

1,875 views

Original Research

Published on 19 Feb 2024

Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography

in Neurotechnology and Systems Neuroergonomics

Sruthi Srinivasan
Deepshikha Acharya
Emilia Butters
Liam Collins-Jones
Flavia Mancini
Gemma Bale

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2024.1283290

1,760 views
1 citation

Original Research

Published on 08 Jan 2024

Non-invasive low-cost deep tissue blood flow measurement with integrated Diffuse Speckle Contrast Spectroscopy

in Neurotechnology and Systems Neuroergonomics

Arindam Biswas
Penaz Parveen Sultana Mohammad
Sadhu Moka
Arash Takshi
Ashwin B. Parthasarathy

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1288922

1,571 views
1 citation

Original Research

Published on 23 Nov 2023

Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment

in Neurotechnology and Systems Neuroergonomics

Mathias Vukelić
Michael Bui
Anna Vorreuther
Katharina Lingelbach

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1274730

3,070 views
1 citation

Editorial

Published on 09 Nov 2023

Editorial: Machine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab

in Neurotechnology and Systems Neuroergonomics

Mahnaz Arvaneh
Toshihisa Tanaka
Haider Raza
Masaki Nakanishi
Tomas Emmanuel Ward

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1305482

815 views

Data Report

Published on 24 Aug 2023

AMBER: advancing multimodal brain-computer interfaces for enhanced robustness—A dataset for naturalistic settings

in Neurotechnology and Systems Neuroergonomics

Muhammad Ahsan Awais
Peter Redmond
Tomas Emmanuel Ward
Graham Healy

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1216440

1,593 views
1 citation

Original Research

Published on 14 Jul 2023

Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study

in Neurotechnology and Systems Neuroergonomics

Marc-Antoine Moinnereau
Alcyr A. Oliveira
Tiago H. Falk

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1189179

2,884 views
2 citations

Editorial

Published on 22 Jun 2023

Editorial: Neurotechnologies and brain-computer interaction for neurorehabilitation

in Neurotechnology and Systems Neuroergonomics

Athanasios Vourvopoulos
Mathis Fleury
Luca Tonin
Serafeim Perdikis

Frontiers in Neuroergonomics

doi 10.3389/fnrgo.2023.1203934

1,339 views

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Articles

Editorial: Advances and challenges to bridge computational intelligence and neuroscience for brain-computer interface

Shredding artifacts: extracting brain activity in EEG from extreme artifacts during skateboarding using ASR and ICA

Encoding temporal information in deep convolution neural network

Measuring aviator workload using EEG: an individualized approach to workload manipulation

Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications

Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection

Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks

On decoding of rapid motor imagery in a diverse population using a high-density NIRS device

Cerebral oxygenation and perfusion kinetics monitoring of military aircrew at high G using novel fNIRS wearable system

Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography

Non-invasive low-cost deep tissue blood flow measurement with integrated Diffuse Speckle Contrast Spectroscopy

Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment

Editorial: Machine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab

AMBER: advancing multimodal brain-computer interfaces for enhanced robustness—A dataset for naturalistic settings

Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study

Editorial: Neurotechnologies and brain-computer interaction for neurorehabilitation