Literature DB >> 28268946

Designing a hands-on brain computer interface laboratory course.

Bahar Khalighinejad, Laura Kathleen Long, Nima Mesgarani.   

Abstract

Devices and systems that interact with the brain have become a growing field of research and development in recent years. Engineering students are well positioned to contribute to both hardware development and signal analysis techniques in this field. However, this area has been left out of most engineering curricula. We developed an electroencephalography (EEG) based brain computer interface (BCI) laboratory course to educate students through hands-on experiments. The course is offered jointly by the Biomedical Engineering, Electrical Engineering, and Computer Science Departments of Columbia University in the City of New York and is open to senior undergraduate and graduate students. The course provides an effective introduction to the experimental design, neuroscience concepts, data analysis techniques, and technical skills required in the field of BCI.

Entities:  

Mesh:

Year:  2016        PMID: 28268946      PMCID: PMC5777329          DOI: 10.1109/EMBC.2016.7591363

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


  8 in total

1.  Independent component approach to the analysis of EEG and MEG recordings.

Authors:  R Vigário; J Särelä; V Jousmäki; M Hämäläinen; E Oja
Journal:  IEEE Trans Biomed Eng       Date:  2000-05       Impact factor: 4.538

2.  Response error correction--a demonstration of improved human-machine performance using real-time EEG monitoring.

Authors:  Lucas C Parra; Clay D Spence; Adam D Gerson; Paul Sajda
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

3.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

4.  Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring.

Authors:  Klaus-Robert Müller; Michael Tangermann; Guido Dornhege; Matthias Krauledat; Gabriel Curio; Benjamin Blankertz
Journal:  J Neurosci Methods       Date:  2007-09-29       Impact factor: 2.390

5.  Mismatch negativity responses in children with a diagnosis of childhood apraxia of speech (CAS).

Authors:  Karen Froud; Reem Khamis-Dakwar
Journal:  Am J Speech Lang Pathol       Date:  2012-05-07       Impact factor: 2.408

6.  Associated deficits in mismatch negativity generation and tone matching in schizophrenia.

Authors:  D C Javitt; A Shelley; W Ritter
Journal:  Clin Neurophysiol       Date:  2000-10       Impact factor: 3.708

7.  How many people are able to control a P300-based brain-computer interface (BCI)?

Authors:  Christoph Guger; Shahab Daban; Eric Sellers; Clemens Holzner; Gunther Krausz; Roberta Carabalona; Furio Gramatica; Guenter Edlinger
Journal:  Neurosci Lett       Date:  2009-06-21       Impact factor: 3.046

8.  The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.

Authors:  Benjamin Blankertz; Michael Tangermann; Carmen Vidaurre; Siamac Fazli; Claudia Sannelli; Stefan Haufe; Cecilia Maeder; Lenny Ramsey; Irene Sturm; Gabriel Curio; Klaus-Robert Müller
Journal:  Front Neurosci       Date:  2010-12-08       Impact factor: 4.677

  8 in total

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