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将节律性听觉刺激整合到智能康复技术中以促进中风后恢复。

Integrating rhythmic auditory stimulation in intelligent rehabilitation technologies for enhanced post-stroke recovery.

作者信息

Zhao Yanyan, Xu Han, Fu Jianming

机构信息

Department of Music, Anhui University of Arts, Hefei, China.

Auckland Tongji Rehabilitaion Medical Equipment Research Center, Tongji Zhejiang College, Jiaxing, China.

出版信息

Front Bioeng Biotechnol. 2025 Aug 29;13:1649011. doi: 10.3389/fbioe.2025.1649011. eCollection 2025.

Abstract

Stroke remains the leading cause of adult disability worldwide, resulting in long-term motor and cognitive impairments and imposing substantial socioeconomic burdens. Despite the widespread use of rehabilitation therapies, clinical outcomes remain suboptimal, underscoring the urgent need for more effective interventions to enhance neuroplasticity. This review explores the potential of integrating rhythmic auditory stimulation (RAS)-a music-based neurorehabilitation technique that leverages auditory-motor synchronization-with intelligent rehabilitation technologies such as robotics and virtual reality (VR). While various music-based interventions have shown promise in neurological recovery, this review focuses specifically on RAS due to its precise temporal structure, well-established neurophysiological mechanisms, and strong compatibility with technology-assisted platforms. We systematically examine the clinical evidence supporting RAS, evaluate the strengths and limitations of current intelligent rehabilitation systems, and discuss future directions for creating closed-loop, adaptive therapy paradigms. By combining RAS with robotic and VR-based interventions, we propose a novel framework for enhancing motor and cognitive recovery after stroke. This integrated approach offers new opportunities for personalized, engaging, and scalable neurorehabilitation strategies grounded in neuroscience, engineering, and clinical practice.

摘要

中风仍然是全球成人残疾的主要原因,会导致长期的运动和认知障碍,并带来巨大的社会经济负担。尽管康复疗法被广泛使用,但临床效果仍不尽人意,这凸显了迫切需要更有效的干预措施来增强神经可塑性。本综述探讨了将节奏性听觉刺激(RAS)——一种基于音乐的神经康复技术,利用听觉-运动同步——与机器人技术和虚拟现实(VR)等智能康复技术相结合的潜力。虽然各种基于音乐的干预措施在神经恢复方面已显示出前景,但由于其精确的时间结构、成熟的神经生理机制以及与技术辅助平台的高度兼容性,本综述特别关注RAS。我们系统地研究了支持RAS的临床证据,评估了当前智能康复系统的优势和局限性,并讨论了创建闭环、适应性治疗模式的未来方向。通过将RAS与基于机器人和VR的干预措施相结合,我们提出了一个用于增强中风后运动和认知恢复的新框架。这种综合方法为基于神经科学、工程学和临床实践的个性化、引人入胜且可扩展的神经康复策略提供了新机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebf9/12426047/4dbb28fdce68/fbioe-13-1649011-g001.jpg

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