Institute of Artificial Intelligence Education, Capital Normal University, Beijing 100048, China.
Information Engineering College, Capital Normal University, Beijing 100048, China.
Sensors (Basel). 2024 Sep 30;24(19):6353. doi: 10.3390/s24196353.
Parkinson's disease is primarily characterized by the degeneration of motor neurons, leading to significant impairments in movement. Initially, physical therapy was predominantly employed to address these motor issues through targeted rehabilitation exercises. However, recent research has indicated that cognitive training can enhance the quality of life for patients with Parkinson's. Consequently, some researchers have posited that the simultaneous engagement in computer-assisted motor and cognitive dual-task (CADT) may yield superior therapeutic outcomes.
A comprehensive literature search was performed across various databases, and studies were selected following PRISMA guidelines, focusing on CADT rehabilitation interventions.
Dual-task training enhances Parkinson's disease (PD) rehabilitation by automating movements and minimizing secondary task interference. The inclusion of a sensor system provides real-time feedback to help patients make immediate adjustments during training. Furthermore, CADT promotes more vigorous participation and commitment to training exercises, especially those that are repetitive and can lead to patient boredom and demotivation. Virtual reality-tailored tasks, closely mirroring everyday challenges, facilitate more efficient patient adaptation post-rehabilitation.
Although the current studies are limited by small sample sizes and low levels, CADT rehabilitation presents as a significant, effective, and potential strategy for PD.
帕金森病的主要特征是运动神经元的退化,导致运动功能严重受损。最初,物理疗法主要用于通过有针对性的康复锻炼来解决这些运动问题。然而,最近的研究表明,认知训练可以提高帕金森病患者的生活质量。因此,一些研究人员提出,同时进行计算机辅助运动和认知双重任务(CADT)可能会产生更好的治疗效果。
我们在多个数据库中进行了全面的文献检索,并按照 PRISMA 指南选择了研究,重点是 CADT 康复干预。
双重任务训练通过自动化运动和最小化次要任务干扰来增强帕金森病(PD)的康复效果。包括传感器系统提供实时反馈,帮助患者在训练过程中进行即时调整。此外,CADT 促进了更积极的参与和对训练练习的承诺,特别是那些重复的练习,这些练习可能会导致患者感到无聊和失去动力。与日常生活挑战密切匹配的虚拟现实定制任务有助于患者在康复后更有效地适应。
尽管目前的研究受到样本量小和水平低的限制,但 CADT 康复是一种针对 PD 的重要、有效和有潜力的策略。