[1]林嘉琪 邵雨薇 栾春亮 舒晴 田峻.多模态生物力学评估在非特异性腰痛临床决策中的研究进展[J].中华老年骨科与康复电子杂志,2026,(01):59-64.[doi:10.3877/cma.j.issn.2096-0263.2026.01.009]
　Lin Jiaqi,Shao Yuwei,LuanChunliang,et al.Research progress of multimodal biomechanical assessment for clinical decision in non-specific low back pain[J].Chin J Geriatr Orthop Rehabil(Electronic Edition),2026,(01):59-64.[doi:10.3877/cma.j.issn.2096-0263.2026.01.009]
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多模态生物力学评估在非特异性腰痛临床决策中的研究进展()
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中华老年骨科与康复电子杂志[ISSN:1674-3911/CN:11-9292/R]

卷:
期数:
2026年01期
页码:
59-64
栏目:
综述
出版日期:
2026-02-05

文章信息/Info

Title:
Research progress of multimodal biomechanical assessment for clinical decision in non-specific low back pain
作者:
林嘉琪1; 2 邵雨薇1 栾春亮1 舒晴1 田峻1
430071 武汉大学中南医院康复医学科1；430071 武汉大学中南医院2
Author(s):
Lin Jiaqi1; 2;  Shao Yuwei1;  LuanChunliang1;  Shu Qing1;  Tian Jun1.
1Department of Rehabilitation, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; 2Zhongnan Hospital of Wuhan University, Wuhan 430071, China
关键词:
非特异性腰痛;  生物力学;  多模态;  临床决策;  智能评估
Keywords:
Non-specific low back pain;  Biomechanics;  Multimodal assessment;  Clinical decision;  Intelligent assessment
DOI:
10.3877/cma.j.issn.2096-0263.2026.01.009
文献标志码:
A
摘要:
非特异性腰痛（NSLBP）是常见的肌肉骨骼疾病，临床诊断依赖主观评估和传统影像学检查，存在主观性强、量化不足等局限。表面肌电图、超声、步态分析等多种生物力学评估技术，为从神经肌肉控制、运动模式和力学维度对NSLBP患者进行动态监测和定量分析提供了可能。本文综述了多模态生物力学评估在NSLBP临床决策中的研究进展，重点探讨各评估技术的应用价值与多模态数据融合的优势，并展望人工智能驱动下未来的发展路径。
Abstract:
Non-specific Low Back Pain (NSLBP) is a common musculoskeletal disorder. Currently, diagnosis relies on subjective evaluations and traditional imaging, which lack objectivity and quantitative precision. Multiple biomechanical assessment technologies, such as surface electromyography, ultrasound, and gait analysis, dynamically monitor and quantitatively analyze NSLBP patients from perspectives of neuromuscular control, movement patterns, and biomechanics. This paper summarizes the research progress of multiple biomechanical assessment in clinical decision-making for NSLBP. It focuses on discussing the application value of each assessment technology and the advantages of multimodal data fusion. It also prospects the future development path driven by artificial intelligence.

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备注/Memo

备注/Memo:
基金项目：湖北省自然科学基金（2025AFD635）
更新日期/Last Update: 2026-05-19