Evidence map›Paper›PMID 42448868›Full record

ArticleAnnals of biomedical engineering2026

Quantitative Assessment of Lower-Limb Multi-joint Synergy in Knee Osteoarthritis by Integrating Spatiotemporal Dual-Topology Features Under the HSMR Framework.

Yuzhe Tan, Xintong Zhao, Zhijie Xiang, Haicheng Wei, Jing Zhao, Xingzhou Du, Yu Qin, Yuanyi Jiao, Xiaoyue Chang, Xueqi Liu

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Yuzhe TanSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, 750021, China.
Xintong ZhaoSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, 750021, China.
Zhijie XiangSchool of Electrical and Information Engineering, North Minzu University, Yinchuan, 750021, China.
Haicheng WeiNingxia Key Laboratory of Bioimaging and Intelligent Diagnostics, Yinchuan, 750021, China. wei_hc@nun.edu.cn.
Jing ZhaoSchool of Information Engineering, Ningxia University, Yinchuan, 750021, China.
Xingzhou DuSchool of Medical Technology, North Minzu University, Yinchuan, 750021, China.
Yu QinSchool of Medical Technology, North Minzu University, Yinchuan, 750021, China.
Yuanyi JiaoSchool of Medical Technology, North Minzu University, Yinchuan, 750021, China.
Xiaoyue ChangSchool of Medical Technology, North Minzu University, Yinchuan, 750021, China.
Xueqi LiuDepartment of Orthopedics, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, 750002, China.

Funding

National Natural Science Foundation of China No. 62361001
6 · The paper itself

Abstract

purposeTo address the subjective and limited quantification in knee osteoarthritis (KOA) gait assessment, this study proposes an HSMR-based spatiotemporal dual-topology algorithm for objectively quantifying lower-limb multi-joint synergy.

methodsThis algorithm utilizes the Human Skeleton and Mesh Recovery (HSMR) framework to reconstruct a biomechanically constrained Skeletal Kinematics Enveloped by a Learned body model (SKEL) parametric model and combines Qualisys for accuracy validation, enabling lower-limb joint angle extraction from monocular videos. Using data from 68 participants (32 controls, 36 KOA), temporal topology analysis quantifies single-joint complexity and stability, while a 3D spatiotemporal fusion algorithm characterizes multi-joint spatial synergy through 3D hip-knee-ankle cyclograms and projections. Based on this, compensatory changes in temporal motion sequences and variations in spatial hip-knee-ankle coordination mechanisms are objectively analyzed for KOA patients classified by Kellgren-Lawrence (KL) grades.

resultsAt the temporal level, knee joint topological complexity in the KOA group decreased progressively with increasing KL grade, with KL2 and KL3-4 decreasing by approximately 7.8% and 12.8%, respectively, compared with controls; ankle joint cyclic stability in the KOA group showed an overall decline of about 35-40%. At the spatial coordination level, the swing-phase similarity score for KL3-4 decreased by 32.7% compared with controls, and the hip-knee two-dimensional projection similarity score decreased by 34.8%.

conclusionThe spatiotemporal dual-topology features of this algorithm can significantly distinguish KOA pathological grades, making it a high-precision and interpretable tool for digital gait analysis.

Indexed as

3D hip–knee–ankle cyclogramGait dysfunctionHSMRKnee osteoarthritis (KOA)Spatiotemporal dual-topology algorithm

Identifiers

PMID42448868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.