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BMI Based on Movement Intention Detection

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Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility

Part of the book series: Springer Theses ((Springer Theses))

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Abstract

The second method utilized for the analysis of brain signals developed in this thesis is described in this chapter. This section includes a description of the principal brain signal’s potentials utilized with the purpose of detecting the mental activity of an individual. Furthermore, a methodology to detect users’ movement intention through the analysis of the event-related desynchronization phenomenon is presented. Finally, the experimental phase performed to validate the approach is described.

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Authors and Affiliations

  1. Maastricht University, Maastricht, The Netherlands

    Enrique Hortal

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  1. Enrique Hortal
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Correspondence to Enrique Hortal .

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Hortal, E. (2019). BMI Based on Movement Intention Detection. In: Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-95705-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-95705-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95704-3

  • Online ISBN: 978-3-319-95705-0

  • eBook Packages: EngineeringEngineering (R0)

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