ArticleJournal of clinical medicine2022
Classification of Stiff-Knee Gait Kinematic Severity after Stroke Using Retrospective k-Means Clustering Algorithm.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Targeted and Sequential Cryoneurolysis Improves Gait After Botulinum-Toxin Unresponsiveness in Post-Stroke Spasticity: A Laboratory-Verified Case.Neurology international · 2026Article
- Applying artificial intelligence in neurodevelopmental disorders management and research.European journal of medical research · 2026Review
- AI-driven prediction of severe respiratory sequelae in COVID-19 patients.Annals of medicine · 2025Article
- Deep Temporal Clustering of Pathological Gait Recovery Patterns in Post-Stroke Patients Using Joint-Angle Trajectories: A Longitudinal Study.Bioengineering (Basel, Switzerland) · 2025Article
- Effective assistance timing using characteristics of paretic ground reaction force in ankle robotic gait training for individuals with hemiparesis after stroke: a cross-sectional study.Journal of neuroengineering and rehabilitation · 2025Article
- Identification of stiff-knee gait in stroke survivors.BMC biomedical engineering · 2025Article
- Mechanisms of Post-stroke Stiff-Knee Gait: A Narrative Review.American journal of physical medicine & rehabilitation · 2025Review
- Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis.Bioengineering (Basel, Switzerland) · 2025Review
- Does Gait Assistance Modulate Reflex Excitability in Those with Spasticity? A Preliminary Study.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025Article
- Post-stroke Stiff-Knee gait: are there different types or different severity levels?Journal of neuroengineering and rehabilitation · 2025Article
- The impact of proprioception impairment on gait function in stroke survivors: a comprehensive review.Frontiers in neurology · 2025Review
- Stiff Knee Gait After Stroke: The Potential Compensatory Role of Mid-Swing Rectus Femoris Activity.Case reports in neurological medicine · 2025Article
- Between-limb difference in peak knee flexion angle can identify persons post-stroke with Stiff-Knee gait.Clinical biomechanics (Bristol, Avon) · 2024Article
- Altered muscle synergy structure in patients with poststroke stiff knee gait.Scientific reports · 2024Article
- Article
- Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study.Journal of cardiothoracic surgery · 2024Article
- Can We Target Close Therapeutic Goals in the Gait Re-Education Algorithm for Stroke Patients at the Beginning of the Rehabilitation Process?Sensors (Basel, Switzerland) · 2024Article
- Clustering Approaches for Gait Analysis within Neurological Disorders: A Narrative Review.Digital biomarkersReview
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, a classification system for unilateral stiff-knee gait (SKG) kinematic severity in hemiparetic adult patients after stroke does not exist. However, such classification would be useful to the clinicians. We proposed the use of the k-means method in order to define unilateral SKG severity clusters in hemiparetic adults after stroke. A retrospective k-means cluster analysis was applied to five selected knee kinematic parameters collected during gait in 96 hemiparetic adults and 19 healthy adults from our clinical gait analysis database. A total of five discrete knee kinematic clusters were determined. Three clusters of SKG were identified, based on which a three-level severity classification was defined: unbend-knee gait, braked-knee gait, and frozen-limb gait. Preliminary construct validity of the classification was obtained. All selected knee kinematic parameters defining the five clusters and the majority of usual kinematic parameters of the lower limbs showed statistically significant differences between the different clusters. We recommend diagnosing SKG for values strictly below 40° of knee flexion during the swing phase. Clinicians and researchers are now able to specify the level of kinematic severity of SKG in order to optimize treatment choices and future clinical trial eligibility criteria.
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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.