ArticleScientific reports2024
Stroke walking and balance characteristics via principal component analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reliability of muscle architecture assessment using clinical ultrasound in post-stroke patients: a systematic review.BMC musculoskeletal disorders · 2025Pooled it
- Observational
- Interplay between balance, gait kinematic and physical activity level in facioscapulohumeral muscular dystrophy.Scientific reports · 2025Article
- Comparison of gait parameters between patients with chronic stroke at different ambulation levels and healthy adults: a prospective observational study.BMC sports science, medicine & rehabilitation · 2025Article
- Compensation for balance disorders: analysis of this multifactorial process.European journal of translational myology · 2025Article
- The Potential Effects of Sensor-Based Virtual Reality Telerehabilitation on Lower Limb Function in Patients with Chronic Stroke Facing the COVID-19 Pandemic: A Retrospective Case-Control Study.Medical sciences (Basel, Switzerland) · 2025Article
- Standing balance test predicts the Berg Balance Scale score in patients with stroke using principal component analysis.Scientific reports · 2025Article
- Article
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5 authors.
Funding
Abstract
Balance impairment is associated gait dysfunction with several quantitative spatiotemporal gait parameters in patients with stroke. However, the link between balance impairments and joint kinematics during walking remains unclear. Clinical assessments and gait measurements using motion analysis system was conducted in 44 stroke patients. This study utilised principal component analysis to identify key joint kinematics characteristics of patients with stroke during walking using average joint angles of pelvis and bilateral lower limbs in every gait-cycle percentile related to balance impairments. Reconstructed kinematics showed the differences in joint kinematics in both paretic and nonparetic lower limbs that can be distinguished by balance impairment, particularly in the sagittal planes during swing phase. The impaired balance group exhibited greater joint variability in both the paretic and nonparetic limbs in the sagittal plane during entire gait phase and during terminal swing phase respectively compared with those with high balance scores. This study provides a more comprehensive understanding of stroke hemiparesis gait patterns and suggests considering both nonparetic and paretic limb function, as well as bilateral coordination in clinical practice. Principal component analysis can be a useful assessment tool to distinguish differences in balance impairment and dynamic symmetry during gait in patients with stroke.
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