利用高分辨率脑电图、机器人技术和虚拟现实技术评估中风幸存者的神经运动恢复情况。

Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality.

作者信息

Comani Silvia, Schinaia Lorenzo, Tamburro Gabriella, Velluto Lucia, Sorbi Sandro, Conforto Silvia, Guarnieri Biancamaria

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3925-8. doi: 10.1109/EMBC.2015.7319252.

DOI:10.1109/EMBC.2015.7319252

PMID:26737152

Abstract

One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clinical tests and the evaluation of the kinematic parameters recorded with the robotic device concurred to highlight an improved motor recovery of the impaired limb despite the age of the patient, his compromised motor function, and the start of rehabilitation at the 3rd week post stroke. The time frequency and functional source analysis of the HR-EEG signals permitted to quantify the functional changes occurring in the brain in association with the rehabilitation motor tasks, and to highlight the recovery of the neuro-motor function.

摘要

一名中风后患者使用一种结合了被动机器人设备、虚拟现实训练应用和高分辨率脑电图（HR-EEG）的新型系统对一侧上肢进行了神经运动康复治疗。临床测试结果以及用机器人设备记录的运动学参数评估结果均表明，尽管患者年龄较大、运动功能受损且在中风后第3周才开始康复治疗，但受损肢体的运动恢复情况仍有所改善。HR-EEG信号的时频和功能源分析能够量化与康复运动任务相关的大脑功能变化，并突出神经运动功能的恢复情况。