Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity

Martha Rocio Torres-Narváez; Oliver Müller; Alvaro David Orjuela-Cañon

doi:10.1007/978-3-031-63848-0_7

Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity

Research output: Chapter in Book/Inform › Chapter › Research

Abstract

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.

Translated title of the contribution	Comparación de imágenes motoras visuales y cinestésicas para la actividad de las extremidades superiores
Original language	English (US)
Title of host publication	Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers
Editors	Jaime A. Riascos Salas, Hernán Villota, Daniel Betancur Vasquez, Vinícius Rosa Cota
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	95-105
Number of pages	11
ISBN (Print)	9783031638473
DOIs	https://doi.org/10.1007/978-3-031-63848-0_7
State	Published - Jan 1 2024
Event	4th Latin American Workshop on Computational Neuroscience, LAWCN 2023 - Envigado, Colombia Duration: Nov 28 2023 → Nov 30 2023

Publication series

Name	Communications in Computer and Information Science
Volume	2108 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	4th Latin American Workshop on Computational Neuroscience, LAWCN 2023
Country/Territory	Colombia
City	Envigado
Period	11/28/23 → 11/30/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-031-63848-0_7

Cite this

Torres-Narváez, M. R., Müller, O., & Orjuela-Cañon, A. D. (2024). Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity. In J. A. Riascos Salas, H. Villota, D. Betancur Vasquez, & V. R. Cota (Eds.), Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers (pp. 95-105). (Communications in Computer and Information Science; Vol. 2108 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-63848-0_7

Torres-Narváez, Martha Rocio ; Müller, Oliver ; Orjuela-Cañon, Alvaro David. / Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity. Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers. editor / Jaime A. Riascos Salas ; Hernán Villota ; Daniel Betancur Vasquez ; Vinícius Rosa Cota. Springer Science and Business Media Deutschland GmbH, 2024. pp. 95-105 (Communications in Computer and Information Science).

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abstract = "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.",

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Torres-Narváez, MR , Müller, O & Orjuela-Cañon, AD 2024, Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity. in JA Riascos Salas, H Villota, D Betancur Vasquez & VR Cota (eds), Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers. Communications in Computer and Information Science, vol. 2108 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 95-105, 4th Latin American Workshop on Computational Neuroscience, LAWCN 2023, Envigado, Colombia, 11/28/23. https://doi.org/10.1007/978-3-031-63848-0_7

Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity. / Torres-Narváez, Martha Rocio ; Müller, Oliver ; Orjuela-Cañon, Alvaro David.
Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers. ed. / Jaime A. Riascos Salas; Hernán Villota; Daniel Betancur Vasquez; Vinícius Rosa Cota. Springer Science and Business Media Deutschland GmbH, 2024. p. 95-105 (Communications in Computer and Information Science; Vol. 2108 CCIS).

Research output: Chapter in Book/Inform › Chapter › Research

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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.

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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.

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Y2 - 28 November 2023 through 30 November 2023

ER -

Torres-Narváez MR , Müller O , Orjuela-Cañon AD. Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity. In Riascos Salas JA, Villota H, Betancur Vasquez D, Cota VR, editors, Computational Neuroscience - 4th Latin American Workshop, LAWCN 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 95-105. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-63848-0_7

Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity

Abstract

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