Optimal Calibration Time for Lower-Limb Brain–Machine Interfaces

L. Ferrero, V. Quiles, M. Ortiz, E. Iáñez, J. L. Contreras-Vidal, J. M. Azorín

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Brain Machine Interfaces (BMI) combined with lower-limb exoskeletons can assist patients that have difficulties in walking. However, BMI need some calibration to adjust their parameters to each user. This process is time-consuming and can be fatiguing for the users. In this work, the optimal number of recordings needed to adjust a EEG-based BMI to distinguish between MI of gait and rest state has been studied based on three subjects. The results show that the BMI reaches its highest accuracy with 5 recordings.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer Science and Business Media Deutschland GmbH
Pages59-64
Number of pages6
DOIs
StatePublished - 2022

Publication series

NameBiosystems and Biorobotics
Volume28
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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