@inbook{26488b5a04164cf2ac9a7bd5351010af,
title = "Optimal Calibration Time for Lower-Limb Brain–Machine Interfaces",
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.",
author = "L. Ferrero and V. Quiles and M. Ortiz and E. I{\'a}{\~n}ez and Contreras-Vidal, \{J. L.\} and Azor{\'i}n, \{J. M.\}",
note = "Funding Information: Acknowledgements This research was funded by the Spanish Ministry of Science, Innovation and Universities through grant CAS18/00048 {\textquoteleft}Jos{\'e} Castillejo{\textquoteright}; by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Agency of Research, and the European Union through the European Regional Development Fund in the framework of the project Walk—Controlling lower-limb exoskeletons by means of brain-machine interfaces to assist people with walking disabilities (RTI2018-096677-B-I00); and by the Conseller{\'i}a de Innovaci{\'o}n, Universidades, Ciencia y Sociedad Digital (Generalitat Valenciana) and the European Social Fund in the framework of the project {\textquoteleft}Desarrollo de nuevas interfaces cerebro-m{\'a}quina para la rehabilitaci{\'o}n de miembro inferior{\textquoteright} (GV/2019/009). Funding Information: This research was funded by the Spanish Ministry of Science, Innovation and Universities through grant CAS18/00048 ?Jos? Castillejo?; by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Agency of Research, and the European Union through the European Regional Development Fund in the framework of the project Walk?Controlling lower-limb exoskeletons by means of brain-machine interfaces to assist people with walking disabilities (RTI2018-096677-B-I00); and by the Conseller?a de Innovaci?n, Universidades, Ciencia y Sociedad Digital (Generalitat Valenciana) and the European Social Fund in the framework of the project ?Desarrollo de nuevas interfaces cerebro-m?quina para la rehabilitaci?n de miembro inferior? (GV/2019/009). Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2022",
doi = "10.1007/978-3-030-70316-5\_10",
language = "English (US)",
series = "Biosystems and Biorobotics",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "59--64",
booktitle = "Biosystems and Biorobotics",
address = "Germany",
}