Research progress of multimodal biomechanical assessment for clinical decision in non-specific low back pain

doi:10.3877/cma.j.issn.2096-0263.2026.01.009

Abstract

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.

Key words: Non-specific low back pain, Biomechanics, Multimodal assessment, Clinical decision, Intelligent assessment

Jiaqi Lin, Yuwei Shao, Chunliang Luan, Qing Shu, Jun Tian. Research progress of multimodal biomechanical assessment for clinical decision in non-specific low back pain[J]. Chinese Journal of Geriatric Orthopaedics and Rehabilitation(Electronic Edition), 2026, 12(01): 59-64.

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