2026-04-30T18:45:29Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/69252025-03-27T07:15:31Zcom_20.500.11984_1143col_20.500.11984_1148

Jordan, Isaac J. C. Metcalfe, Benjamin Ruiz Garate, Virginia Withey, Dan 2025-03-26T11:51:06Z 2025-03-26T11:51:06Z 2025 978-3-031-77588-8 2195-3570 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=180321 https://hdl.handle.net/20.500.11984/6925 People with Tetraplegia will typically require costly, round-the-clock care over the course of their lives due to lack of motor function. Brain computer interfaces (BCIs) are capable of identifying imagined motor intention for individual limbs; however, high-cost electroencephalography (EEG) devices are typically used. In this paper, a comparison of 4 published motor imagery (MI) BCIs is undertaken. BCI Competition IV Dataset 2b is used to benchmark the four and the relatively low-cost OpenBCI EEG cap is then used with each, in a custom experiment. Results obtained from the OpenBCI EEG cap suggest that it is suitable for MI tasks, though this should be confirmed with a larger sample. Also, 2 of the 4 MI BCI’s stand out for decoding accuracy, though all performed well. eng © 2025 Springer Comparison of Motor Imagery Brain Computer Interfaces and Validation with the OpenBCI EEG Electrode Cap http://purl.org/coar/resource_type/c_c94f