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脑卒中康复评估的研究与应用进展。

Research and application advances in rehabilitation assessment of stroke.

机构信息

Department of Biomedical Engineering, School of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China.

出版信息

J Zhejiang Univ Sci B. 2022 Aug 15;23(8):625-641. doi: 10.1631/jzus.B2100999.

Abstract

Stroke has a high incidence and disability rate, and rehabilitation is an effective means to reduce the disability rate of patients. To systematize rehabilitation assessment, which is the foundation for rehabilitation therapy, we summarize the assessment methods commonly used in research and clinical applications, including the various types of stroke rehabilitation scales and their applicability, and related biomedical detection technologies, including surface electromyography (sEMG), motion analysis systems, transcranial magnetic stimulation (TMS), magnetic resonance imaging (MRI), and combinations of different techniques. We also introduce some assessment techniques that are still in the experimental phase, such as the prospective application of artificial intelligence (AI) with optical correlation tomography (OCT) in stroke rehabilitation. This review provides a useful bibliography for the assessment of not only the severity of stroke injury, but also the therapeutic effects of stroke rehabilitation, and establishes a solid base for the future development of stroke rehabilitation skills.

摘要

脑卒中发病率和致残率高,康复是降低患者致残率的有效手段。为了使康复评估系统化,这是康复治疗的基础,我们总结了研究和临床应用中常用的评估方法,包括各种类型的脑卒中康复量表及其适用性,以及相关的生物医学检测技术,包括表面肌电图(sEMG)、运动分析系统、经颅磁刺激(TMS)、磁共振成像(MRI)以及不同技术的组合。我们还介绍了一些仍处于实验阶段的评估技术,如人工智能(AI)与光学相干断层扫描(OCT)在脑卒中康复中的前瞻性应用。本综述为脑卒中损伤严重程度和脑卒中康复治疗效果的评估提供了有用的参考文献,并为脑卒中康复技术的未来发展奠定了坚实的基础。

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