本体感觉
功能性电刺激
康复
计算机科学
脑电图
物理医学与康复
人工智能
机器人
刺激
心理学
神经科学
医学
作者
Yuze Jiao,Weiqun Wang,Jiaxing Wang,Zeng-Guang Hou
出处
期刊:Journal of Neural Engineering
[IOP Publishing]
日期:2024-07-29
卷期号:21 (4): 046043-046043
标识
DOI:10.1088/1741-2552/ad68a5
摘要
Abstract Objective. In recent years, the robot assisted (RA) rehabilitation training has been widely used to counteract defects of the manual one provided by physiotherapists. However, since the proprioception feedback provided by the robotic assistance or the manual methods is relatively weak for the paralyzed patients, their rehabilitation efficiency is still limited. In this study, a dynamic electrical stimulation (DES) based proprioception enhancement and the associated quantitative analysis methods have been proposed to overcome the limitation mentioned above. Approach. Firstly, the DES based proprioception enhancement method was proposed for the RA neural rehabilitation. In the method, the relationship between the surface electromyogram (sEMG) envelope of the specified muscle and the associated joint angles was constructed, and the electrical stimulation (ES) pulses for the certain joint angles were designed by consideration of the corresponding sEMG envelope, based on which the ES can be dynamically regulated during the rehabilitation training. Secondly, power spectral density, source estimation, and event-related desynchronization of electroencephalogram, were combinedly used to quantitatively analyze the proprioception from multiple perspectives, based on which more comprehensive and reliable analysis results can be obtained. Thirdly, four modes of rehabilitation training tasks, namely active, RA, DES-RA, and ES-only training, were designed for the comparison experiment and validation of the proposed DES based proprioception enhancement method. Main results. The results indicated that the activation of the sensorimotor cortex was significantly enhanced when the DES was added, and the cortex activation for the DES-RA training was similar to that for the active training. Meanwhile, relatively consistent results from the multiple perspectives were obtained, which validates the effectiveness and robustness of the proposed proprioception analysis method. Significance. The proposed methods have the potential to be applied in the practical rehabilitation training to improve the rehabilitation efficiency.
科研通智能强力驱动
Strongly Powered by AbleSci AI