@inproceedings{8e5903645e414f7797777eadd89341cc,
title = "Assessment of motor imagery in gamma band using a lower limb exoskeleton",
abstract = "The use of a brain-machine interface (BMI) in combination with powered exoskeletons can assist patients with lower limb disabilities to walk again. These neurorobotic systems are commonly based on motor imagery, but their performance may suffer from lack of user engagement in the task or from cognitive load due to multi-tasking. The present paper shows a novel algorithm based on the gamma spectral band, using the Stockwell transform and a set of smoothing filters, to assess the quality of and improve the decoding of motor imagery during the use of a BMI-Rex exoskeleton system. The results computed in a pseudo-online scenario reveal a high accuracy with a very low false positive ratio.",
author = "M. Ortiz and E. Ianez and J. Gaxiola and A. Kilicarslan and Contreras-Vidal, {J. L.} and Azorin, {J. M.}",
year = "2019",
month = oct,
doi = "10.1109/SMC.2019.8914483",
language = "English (US)",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2773--2778",
booktitle = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019",
address = "United States",
note = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",
}