TY - CHAP
T1 - Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity
AU - Torres-Narváez, Martha Rocio
AU - Müller, Oliver
AU - Orjuela-Cañon, Alvaro David
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Brain computer interfaces have different applications, according to the input stimulation of the participants and the context where they are put to use. Motor imagery is one of the most common applications. However, this specific implementation is often associated with visual imagination of the activity under study. The present proposal deals additionally with kinesthetic imagination, which includes proprioceptive sensations. For this purpose, power spectral density was computed for visual and kinesthetic motor imagery and actual movement execution. The data was compared between the three motor tasks, employing the Wilcoxon, Kruskal-Wallis, and Mann-Whitney statistic tests. Results showed a reduced dispersion of power spectral density during imagery. In addition, there were no statistically significant differences among imagery and actual movement execution.
AB - Brain computer interfaces have different applications, according to the input stimulation of the participants and the context where they are put to use. Motor imagery is one of the most common applications. However, this specific implementation is often associated with visual imagination of the activity under study. The present proposal deals additionally with kinesthetic imagination, which includes proprioceptive sensations. For this purpose, power spectral density was computed for visual and kinesthetic motor imagery and actual movement execution. The data was compared between the three motor tasks, employing the Wilcoxon, Kruskal-Wallis, and Mann-Whitney statistic tests. Results showed a reduced dispersion of power spectral density during imagery. In addition, there were no statistically significant differences among imagery and actual movement execution.
UR - https://www.scopus.com/pages/publications/85199164981
UR - https://www.scopus.com/pages/publications/85199164981#tab=citedBy
U2 - 10.1007/978-3-031-63848-0_7
DO - 10.1007/978-3-031-63848-0_7
M3 - Chapter
AN - SCOPUS:85199164981
SN - 9783031638473
T3 - Communications in Computer and Information Science
SP - 95
EP - 105
BT - Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers
A2 - Riascos Salas, Jaime A.
A2 - Villota, Hernán
A2 - Betancur Vasquez, Daniel
A2 - Cota, Vinícius Rosa
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th Latin American Workshop on Computational Neuroscience, LAWCN 2023
Y2 - 28 November 2023 through 30 November 2023
ER -
