Evidence map›Paper›PMID 41302184›Full record

ArticleLife (Basel, Switzerland)2025

A Feasible Method for Evaluating Post-Stroke Knee Spasticity: Pose-Estimation-Assisted Pendulum Test.

Yun-Chien Yeh, Ching-Shiou Tang, Quang Hung Ho, Cheng-Yu Tsai, Jiunn-Horng Kang

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yun-Chien YehSchool of Biomedical Engineering, Taipei Medical University, Taipei 110, Taiwan.ORCID 0009-0000-3486-2918
Ching-Shiou TangSchool of Biomedical Engineering, Taipei Medical University, Taipei 110, Taiwan.
Quang Hung HoInternational Ph.D. Program in Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0009-0006-0266-024X
Cheng-Yu TsaiSchool of Biomedical Engineering, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-1639-4257
Jiunn-Horng KangGraduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0002-7850-4140

Funding

National Science and Technology Council 113-2813-C-038-010-E
6 · The paper itself

Abstract

purposePost-stroke spasticity (PSS) substantially affects functional recovery and quality of life in stroke survivors. However, the current clinical assessment methods exhibit certain subjectivity and equipment limitations. Human pose estimation presents a promising alternative for objective and user-friendly spasticity assessment. MATERIALS AND

methodsA total of 20 stroke survivors with PSS underwent pendulum tests with smartphones from multiple angles to quantitatively assess knee muscle spasticity. Pose estimation was conducted using the AlphaPose and STCFormer algorithms, with simultaneous measurements using an electronic goniometer as a reference. Three pendulum parameters were evaluated: normalized relaxation index (P1), first maximum of oscillation (P2), and relaxation index at half swing (P3). Bland-Altman analyses were used to analyze the consistency between pose estimation and electronic goniometer measurements. Intraclass correlation coefficient (ICC) and Spearman's correlation analyses were conducted to evaluate agreement and reliability between electronic goniometer measurements and clinical evaluation.

resultsP1 demonstrated the highest consistency between pose estimation and electronic goniometer measurements, with the highest ICC values (0.931 for AlphaPose and 0.911-0.94 for STCFormer). P1 and P3 differentiated between affected and unaffected limbs (

conclusionsVideo-based human pose estimation, particularly using P1, offers a reliable and objective method for evaluating PSS, demonstrating strong agreement with electronic goniometer measurements. This approach is clinically feasible for evaluating spasticity.

Indexed as

agreementmarkerless pose estimationpendulum testspasticitystroke

Identifiers

PMID41302184
PMCPMC12653666

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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 OpenQuestion graph.