Motor Imagination of Lower Limb Movements at Different Frequencies.
Motor Imagination of Lower Limb Movements at Different Frequencies.
复制标题
不同频率下肢运动的运动想象
DOI：
10.1155/2021/4073739
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发表时间：
2021
影响因子：
--
通讯作者：
Li P
中科院分区：
文献类型：
--
作者：
Liu Y;Chen C;Belkacem AN;Wang Z;Cheng L;Wang C;Chang Y;Li P
运动想象是一种只想象一个动作而没有实际动作的心理过程。MI的研究在特征信息检测和机器学习解码算法方面取得了重大进展，但仍存在整体识别率低、个体执行效果差异大等问题，使MI的发展陷入瓶颈。针对这一瓶颈问题，本研究通过“提高想象任务难度”优化MI原始信号质量，对脑电节律特征进行定性和定量分析，并采用ERD均值和识别率等定量指标。采用高频运动想象（HFMI）和低频运动想象（LFMI）两种不同任务的下肢MI进行对比分析。结果验证了以下事实：HFMI的平均ERD（-1.827）在α波段小于LFMI（-1.3487），在β波段也是如此（-3.4756 <-2.2891）。在α和β特征频段，HFMI的平均ERD小于LFMI，两者的ERD值有显著性差异（p=0.0074 < 0.01; r = 0.945）。HFMI的ERD强度STD值小于LFMI。这表明，在HFMI模式下，受试者之间的ERD强度个体差异小于LFMI模式。HFMI的平均识别率高于LFMI（87.84% > 76.46%），两种模式的识别率差异有统计学意义（p=0.0034 < 0.01; r = 0.429）。综上所述，本研究通过提高想象任务的难度，优化了MI脑信号源的质量，达到了提高被试对下肢MI的整体识别率，减少被试个体执行效果和信号质量差异的目的。
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.
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影响因子：
6
作者：
Arvaneh M;Guan C;Ang KK;Ward TE;Chua KSG;Kuah CWK;Ephraim Joseph GJ;Phua KS;Wang C
通讯作者：
Wang C
DOI：
10.1109/tnnls.2020.3015505
发表时间：
2021-11-01
影响因子：
10.4
作者：
Jin, Jing;Xiao, Ruocheng;Cichocki, Andrzej
通讯作者：
Cichocki, Andrzej
影响因子：
4.3
作者：
Chaisaen, Rattanaphon;Autthasan, Phairot;Wilaiprasitporn, Theerawit
通讯作者：
Wilaiprasitporn, Theerawit
为下肢外骨骼开发基于运动图像的实时异步混合 BCI 控制器。
DOI：
10.3390/s20247309
发表时间：
2020-12-19
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Choi J;Kim KT;Jeong JH;Kim L;Lee SJ;Kim H
通讯作者：
Kim H
影响因子：
6.1
作者：
Chaudhary, Shalu;Taran, Sachin;Siuly, Siuly
通讯作者：
Siuly, Siuly