Design and Demonstration of a Hybrid FES-BCI-Based Robotic Neurorehabilitation System for Lower Limbs

The developed system was usable by all participants, but its clinical feasibility is uncertain due to the total time required for setting up the system.

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Institutions

Publication Details

Journal
Sensors
Published
2025-07-24
DOI
https://doi.org/10.3390/s25154571
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86

Funders

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article

Design and Demonstration of a Hybrid FES-BCI-Based Robotic Neurorehabilitation System for Lower Limbs

Lotte N. S. Andreasen Struijk, Kasper Leerskov, Erika G. Spaich, Mads Jochumsen
2 citations
Sensors
EEG and Brain-Computer Interfaces
2.86
article

Design and Demonstration of a Hybrid FES-BCI-Based Robotic Neurorehabilitation System for Lower Limbs

Lotte N. S. Andreasen Struijk, Kasper Leerskov, Erika G. Spaich, Mads Jochumsen
article en
2 citations

Abstract

The developed system was usable by all participants, but its clinical feasibility is uncertain due to the total time required for setting up the system.

SensorsVol. 25(15)
Institut de Neurophysiopathologie (FR), IT+Robotics (Italy) (IT), Robotics Research (United States) (US), GN Store Nord (Denmark) (DK), Aalborg University (DK)
Hartmann Fonden
Openalex Percentile: Top 9%
EEG and Brain-Computer Interfaces
2.86
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