TY - GEN
T1 - Analysis of EEG Rhythms during Four-Direction First-Person Reach-to-Grasp Kinesthetic Motor Imagery Tasks from the Same Limb
AU - Guerrero-Mendez, Cristian D.
AU - Blanco-Diaz, Cristian F.
AU - Delisle-Rodriguez, Denis
AU - Ruiz-Olaya, Andrés F.
AU - Jaramillo-Isaza, Sebastián
AU - Bastos-Filho, Teodiano F.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Motor Imagery (MI) of the upper limbs has been extensively studied in the literature using static visual cues. However, these protocols do not address movements involved in Activities of Daily Living (ADLs), which represent an open challenge for the scientific community. Action Observation (AO) has been proposed as a way to improve the recognition of complex tasks. Therefore, this study proposes a methodology to analyze Electroencephalography (EEG) during MI based on manipulation of a cup in different positions, through a first-person representation of a 2D virtual reality. The Power Spectral Density (PSD), Event Related Desynchronization/Synchronization (ERD/ERS), and Signal-to-Noise Ratio (SNR) were used to determine differences between MI of Rest and the movements. The results showed significant differences among MI tasks in the mu and beta frequency bands, as well as ERD/ERS mainly marked in the cortico-motor and parieto-central regions of the brain. These findings are important for the implementation of Brain Computer Interfaces (BCIs) based on MI and complex movements, which could improve usability and controllability in motor rehabilitation. Overall, this study demonstrates the potential of using AO-based MI protocols for analyzing brain activity during complex movements, which can enhance our understanding of motor imagery and inform the development of new rehabilitation strategies.
AB - Motor Imagery (MI) of the upper limbs has been extensively studied in the literature using static visual cues. However, these protocols do not address movements involved in Activities of Daily Living (ADLs), which represent an open challenge for the scientific community. Action Observation (AO) has been proposed as a way to improve the recognition of complex tasks. Therefore, this study proposes a methodology to analyze Electroencephalography (EEG) during MI based on manipulation of a cup in different positions, through a first-person representation of a 2D virtual reality. The Power Spectral Density (PSD), Event Related Desynchronization/Synchronization (ERD/ERS), and Signal-to-Noise Ratio (SNR) were used to determine differences between MI of Rest and the movements. The results showed significant differences among MI tasks in the mu and beta frequency bands, as well as ERD/ERS mainly marked in the cortico-motor and parieto-central regions of the brain. These findings are important for the implementation of Brain Computer Interfaces (BCIs) based on MI and complex movements, which could improve usability and controllability in motor rehabilitation. Overall, this study demonstrates the potential of using AO-based MI protocols for analyzing brain activity during complex movements, which can enhance our understanding of motor imagery and inform the development of new rehabilitation strategies.
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U2 - 10.1109/ColBioCAS59270.2023.10280841
DO - 10.1109/ColBioCAS59270.2023.10280841
M3 - Conference contribution
AN - SCOPUS:85176116010
T3 - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings
BT - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings
A2 - Rico, Faruk Fonthal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023
Y2 - 26 July 2023 through 28 July 2023
ER -