Cargando…

Motor Imagination of Lower Limb Movements at Different Frequencies

Motor imagination (MI) is the mental process of only imagining an action without an actual movement. Research on MI has made significant progress in feature information detection and machine learning decoding algorithms, but there are still problems, such as a low overall recognition rate and large...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yingtao, Chen, Chao, Belkacem, Abdelkader Nasreddine, Wang, Zhiyong, Cheng, Longlong, Wang, Chun, Chang, Yuexiao, Li, Penghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716247/
https://www.ncbi.nlm.nih.gov/pubmed/34976324
http://dx.doi.org/10.1155/2021/4073739
_version_ 1784624283417313280
author Liu, Yingtao
Chen, Chao
Belkacem, Abdelkader Nasreddine
Wang, Zhiyong
Cheng, Longlong
Wang, Chun
Chang, Yuexiao
Li, Penghai
author_facet Liu, Yingtao
Chen, Chao
Belkacem, Abdelkader Nasreddine
Wang, Zhiyong
Cheng, Longlong
Wang, Chun
Chang, Yuexiao
Li, Penghai
author_sort Liu, Yingtao
collection PubMed
description Motor imagination (MI) is the mental process of only imagining an action without an actual movement. Research on MI has made significant progress in feature information detection and machine learning decoding algorithms, but there are still problems, such as a low overall recognition rate and large differences in individual execution effects, which make the development of MI run into a bottleneck. Aiming at solving this bottleneck problem, the current study optimized the quality of the MI original signal by “enhancing the difficulty of imagination tasks,” conducted the qualitative and quantitative analyses of EEG rhythm characteristics, and used quantitative indicators, such as ERD mean value and recognition rate. Research on the comparative analysis of the lower limb MI of different tasks, namely, high-frequency motor imagination (HFMI) and low-frequency motor imagination (LFMI), was conducted. The results validate the following: the average ERD of HFMI (−1.827) is less than that of LFMI (−1.3487) in the alpha band, so did (−3.4756 < −2.2891) in the beta band. In the alpha and beta characteristic frequency bands, the average ERD of HFMI is smaller than that of LFMI, and the ERD values of the two are significantly different (p=0.0074 < 0.01; r = 0.945). The ERD intensity STD values of HFMI are less than those of LFMI. which suggests that the ERD intensity individual difference among the subjects is smaller in the HFMI mode than in the LFMI mode. The average recognition rate of HFMI is higher than that of LFMI (87.84% > 76.46%), and the recognition rate of the two modes is significantly different (p=0.0034 < 0.01; r = 0.429). In summary, this research optimizes the quality of MI brain signal sources by enhancing the difficulty of imagination tasks, achieving the purpose of improving the overall recognition rate of the lower limb MI of the participants and reducing the differences of individual execution effects and signal quality among the subjects.
format Online
Article
Text
id pubmed-8716247
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-87162472021-12-30 Motor Imagination of Lower Limb Movements at Different Frequencies Liu, Yingtao Chen, Chao Belkacem, Abdelkader Nasreddine Wang, Zhiyong Cheng, Longlong Wang, Chun Chang, Yuexiao Li, Penghai J Healthc Eng Research Article Motor imagination (MI) is the mental process of only imagining an action without an actual movement. Research on MI has made significant progress in feature information detection and machine learning decoding algorithms, but there are still problems, such as a low overall recognition rate and large differences in individual execution effects, which make the development of MI run into a bottleneck. Aiming at solving this bottleneck problem, the current study optimized the quality of the MI original signal by “enhancing the difficulty of imagination tasks,” conducted the qualitative and quantitative analyses of EEG rhythm characteristics, and used quantitative indicators, such as ERD mean value and recognition rate. Research on the comparative analysis of the lower limb MI of different tasks, namely, high-frequency motor imagination (HFMI) and low-frequency motor imagination (LFMI), was conducted. The results validate the following: the average ERD of HFMI (−1.827) is less than that of LFMI (−1.3487) in the alpha band, so did (−3.4756 < −2.2891) in the beta band. In the alpha and beta characteristic frequency bands, the average ERD of HFMI is smaller than that of LFMI, and the ERD values of the two are significantly different (p=0.0074 < 0.01; r = 0.945). The ERD intensity STD values of HFMI are less than those of LFMI. which suggests that the ERD intensity individual difference among the subjects is smaller in the HFMI mode than in the LFMI mode. The average recognition rate of HFMI is higher than that of LFMI (87.84% > 76.46%), and the recognition rate of the two modes is significantly different (p=0.0034 < 0.01; r = 0.429). In summary, this research optimizes the quality of MI brain signal sources by enhancing the difficulty of imagination tasks, achieving the purpose of improving the overall recognition rate of the lower limb MI of the participants and reducing the differences of individual execution effects and signal quality among the subjects. Hindawi 2021-12-22 /pmc/articles/PMC8716247/ /pubmed/34976324 http://dx.doi.org/10.1155/2021/4073739 Text en Copyright © 2021 Yingtao Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Yingtao
Chen, Chao
Belkacem, Abdelkader Nasreddine
Wang, Zhiyong
Cheng, Longlong
Wang, Chun
Chang, Yuexiao
Li, Penghai
Motor Imagination of Lower Limb Movements at Different Frequencies
title Motor Imagination of Lower Limb Movements at Different Frequencies
title_full Motor Imagination of Lower Limb Movements at Different Frequencies
title_fullStr Motor Imagination of Lower Limb Movements at Different Frequencies
title_full_unstemmed Motor Imagination of Lower Limb Movements at Different Frequencies
title_short Motor Imagination of Lower Limb Movements at Different Frequencies
title_sort motor imagination of lower limb movements at different frequencies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716247/
https://www.ncbi.nlm.nih.gov/pubmed/34976324
http://dx.doi.org/10.1155/2021/4073739
work_keys_str_mv AT liuyingtao motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT chenchao motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT belkacemabdelkadernasreddine motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT wangzhiyong motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT chenglonglong motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT wangchun motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT changyuexiao motorimaginationoflowerlimbmovementsatdifferentfrequencies
AT lipenghai motorimaginationoflowerlimbmovementsatdifferentfrequencies