典型文献
Research and application advances in rehabilitation assessment of stroke
文献摘要：
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.
文献关键词：
中图分类号：
作者姓名：
Kezhou LIU;Mengjie YIN;Zhengting CAI
作者机构：
Department of Biomedical Engineering,School of Automation(Artificial Intelligence),Hangzhou Dianzi University,Hangzhou 310018,China
引用格式：
[1]Kezhou LIU;Mengjie YIN;Zhengting CAI-.Research and application advances in rehabilitation assessment of stroke)[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2022(08):625-641
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AB值：
0.647265
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