Psychometric Evaluation with Brain-Computer Interface

  • Paolo Perego
  • Anna Carla Turconi
  • Chiara Gagliardi
  • Giuseppe Andreoni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6761)


Brain-Computer Interfaces (BCIs) are systems which can provide people affected by severe neuromuscular diseases with a new and easy way to communicate with the world. The aim of this study is to use a new administration method based on BCI technology to assess cognitive ability in disabled people. The protocol was applied on 15 subjects who can’t or have difficult using traditional paper based test. The method, based on a SSVEP BCI system, was previously validated on 20 healthy subjects. The previous validation and the test results on disabled patient show the reliability of BCI in administering cognitive test; BCI doesn’t affect results but adds further data that can be used to analyze other cognitive tasks in addition to those measured by the test.


Brain Computer Interface (BCI) Steady State Visual Evoked Potential (SSVEP) psychometric assessment Raven test 


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  1. 1.
    Wolpawa, J.R., Birbaumer, N., McFarlanda, D.J., Pfurtscheller, G., Vaughana, T.M.: Brain–computer interfaces for communication and control. Clinical Neurophysiology 113, 767–791 (2002)CrossRefGoogle Scholar
  2. 2.
    Vidal, J.: Toward direct brain-computer communication. Annual Review of Biophysics and Bioengineering 2, 157–180 (1973)CrossRefGoogle Scholar
  3. 3.
    Holzner, C., Guger, C., Grönegress, C., Edlinger, G., Slater, M.: Using a P300 Brain Computer Interface for Smart Home Control. In: World Congress on Medical Physics and Biomedical Engineering (2009)Google Scholar
  4. 4.
    Münßinger, J.I., Halder, S., Kleih, S.C., Furdea, A., Raco, V., Hösle, A., Kübler, A.: Brain Painting: First Evaluation of a New Brain-Computer Interface Application with ALS-Patients and Healthy Volunteers. Frontiers in Neuroscience 4, 182 (2010)CrossRefGoogle Scholar
  5. 5.
    Brumberg, J.S., Nieto-Castanon, A., Kennedy, P.R., Guenther, F.H.: Brain-Computer Interfaces for Speech Communication. Speech Communication 52(4), 367–379 (2010)CrossRefGoogle Scholar
  6. 6.
    Iversen, I.H., Ghanayim, N., Kübler, A., Neumann, N., Birbaumer, N., Kaiser, J.: A brain – computer interface tool to assess cognitive functions in completely paralyzed patients with amyotrophic lateral sclerosis. Clinical Neurophysiology 119, 2214–2223 (2008)CrossRefGoogle Scholar
  7. 7.
    Parini, S., Maggi, L., Turconi, A.C., Andreoni, G.: A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication. Computational Intelligence and Neuroscience (2009)Google Scholar
  8. 8.
    Vialatte, F.B., Maurice, M., Dauwels, J., Cichocki, A.: Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. Progress in Neurobiology 90(4), 418–438 (2010)CrossRefGoogle Scholar
  9. 9.
    Perego, P., Maggi, L., Parini, S., Andreoni, G.: BCI++: a new framework for Brain Computer Interface application. In: International Conference on Computers and their Applications – Software Engineering and Data Engineering ISCA-SEDE (2009)Google Scholar
  10. 10.
    Kronegg, J., Voloshynovskiy, S., Pun, T.: Analysis of bit-rate definitions for Brain-Computer Interfaces. In: International Conference on Human-Computer Interaction (2005)Google Scholar
  11. 11.
    Rave, J., Court, J.H.: Manual for Raven’s Progressive Matrices and Vocaboulary Scales. Assessment Harcourt (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Paolo Perego
    • 1
  • Anna Carla Turconi
    • 2
  • Chiara Gagliardi
    • 2
  • Giuseppe Andreoni
    • 1
  1. 1.INDACO dept.Politecnico di MilanoMilanItaly
  2. 2.IRCCS E. MedeaBosisio PariniItaly

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