Literature DB >> 24110149

Classification of mental tasks in the prefrontal cortex using fNIRS.

Christian Herff, Dominic Heger, Felix Putze, Johannes Hennrich, Ole Fortmann, Tanja Schultz.   

Abstract

Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these efforts, most single-trial analysis of fNIRS data is focused on motor-imagery, or mental arithmetics. In this study, we investigate the suitability of different mental tasks, namely mental arithmetics, word generation and mental rotation for fNIRS based BCIs. We provide the first systematic comparison of classification accuracies achieved in a sample study. Data was collected from 10 subjects performing these three tasks.

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Year:  2013        PMID: 24110149     DOI: 10.1109/EMBC.2013.6609962

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  16 in total

1.  Usability and performance-informed selection of personalized mental tasks for an online near-infrared spectroscopy brain-computer interface.

Authors:  Sabine Weyand; Larissa Schudlo; Kaori Takehara-Nishiuchi; Tom Chau
Journal:  Neurophotonics       Date:  2015-05-12       Impact factor: 3.593

2.  A Non-parametric Approach to the Overall Estimate of Cognitive Load Using NIRS Time Series.

Authors:  Soheil Keshmiri; Hidenobu Sumioka; Ryuji Yamazaki; Hiroshi Ishiguro
Journal:  Front Hum Neurosci       Date:  2017-02-03       Impact factor: 3.169

3.  Decoding different working memory states during an operation span task from prefrontal fNIRS signals.

Authors:  Ting Chen; Cui Zhao; Xingyu Pan; Junda Qu; Jing Wei; Chunlin Li; Ying Liang; Xu Zhang
Journal:  Biomed Opt Express       Date:  2021-05-18       Impact factor: 3.732

4.  Correlates of Near-Infrared Spectroscopy Brain-Computer Interface Accuracy in a Multi-Class Personalization Framework.

Authors:  Sabine Weyand; Tom Chau
Journal:  Front Hum Neurosci       Date:  2015-09-30       Impact factor: 3.169

5.  What we can and cannot (yet) do with functional near infrared spectroscopy.

Authors:  Megan Strait; Matthias Scheutz
Journal:  Front Neurosci       Date:  2014-05-23       Impact factor: 4.677

Review 6.  Automatic Speech Recognition from Neural Signals: A Focused Review.

Authors:  Christian Herff; Tanja Schultz
Journal:  Front Neurosci       Date:  2016-09-27       Impact factor: 4.677

7.  Wearable and modular functional near-infrared spectroscopy instrument with multidistance measurements at four wavelengths.

Authors:  Dominik Wyser; Olivier Lambercy; Felix Scholkmann; Martin Wolf; Roger Gassert
Journal:  Neurophotonics       Date:  2017-08-18       Impact factor: 3.593

8.  Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces.

Authors:  Hubert Banville; Rishabh Gupta; Tiago H Falk
Journal:  Comput Intell Neurosci       Date:  2017-10-18

9.  Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications.

Authors:  Alexander von Lühmann; Christian Herff; Dominic Heger; Tanja Schultz
Journal:  Front Hum Neurosci       Date:  2015-11-12       Impact factor: 3.169

10.  Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.

Authors:  Christian Herff; Dominic Heger; Ole Fortmann; Johannes Hennrich; Felix Putze; Tanja Schultz
Journal:  Front Hum Neurosci       Date:  2014-01-16       Impact factor: 3.169

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