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- W3204554345 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." @default.
- W3204554345 created "2021-10-11" @default.
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- W3204554345 date "2021-10-02" @default.
- W3204554345 modified "2023-10-17" @default.
- W3204554345 title "Optimal Calibration Time for Lower-Limb Brain–Machine Interfaces" @default.
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- W3204554345 doi "https://doi.org/10.1007/978-3-030-70316-5_10" @default.
- W3204554345 hasPublicationYear "2021" @default.
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