ArticlePloS one2021
Movement smoothness in chronic post-stroke individuals walking in an outdoor environment-A cross-sectional study using IMU sensors.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Assessment of ambulation functions through kinematic analysis in individuals with stroke: a systematic review.European journal of physical and rehabilitation medicine · 2025Pooled it
- Recent State of Wearable IMU Sensors Use in People Living with Spasticity: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Haptic interaction with a human partner for ankle training in chronic stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2025Trial
- Cognitive-motor dual-task training improves dynamic stability during straight and curved gait in patients with multiple sclerosis: a randomized controlled trial.European journal of physical and rehabilitation medicine · 2024Trial
- Vestibular Rehabilitation Improves Gait Quality and Activities of Daily Living in People with Severe Traumatic Brain Injury: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2022Trial
- Wearable airbag technology and machine learned models to mitigate falls after stroke.Journal of neuroengineering and rehabilitation · 2022Trial
- Movement smoothness and plasma proteomics are associated with functional impairment in knee osteoarthritis.Osteoarthritis and cartilage open · 2026Article
- Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning.Scientific reports · 2026Article
- Evaluating Gait Quality in People with Hip Osteoarthritis During Habitual and Fast Walking Using a Trunk Inertial Measurement Unit in Clinical Settings.Sensors (Basel, Switzerland) · 2026Article
- Article
- Validity of Poststroke Gait Spatiotemporal and Joint Excursion Metrics Between Inertial Measurement Units and a Marker-Based System.Journal of applied biomechanics · 2025Article
- Cross-Sectional Study of Bone Mineral Density in Chronic Stroke According to Walking Speed.Journal of clinical medicine · 2025Article
- Enhancing safety monitoring in post-stroke rehabilitation through wearable technologies.Clinical rehabilitation · 2025Observational
- Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors' Locations.Sensors (Basel, Switzerland) · 2025Article
- Predicting community walking after stroke.Frontiers in stroke · 2025Article
- Inertial measurement units to evaluate the efficacity of Equino Varus Foot surgery in post stroke hemiparetic patients: a feasibility study.Journal of neuroengineering and rehabilitation · 2024Article
- Evaluation of Patients' Levels of Walking Independence Using Inertial Sensors and Neural Networks in an Acute-Care Hospital.Bioengineering (Basel, Switzerland) · 2024Article
- Characterization of the influence of the dominant tract on hand closing post stroke based on the Fugl-Meyer score.Scientific reports · 2023Article
- Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram.Frontiers in neurology · 2023Article
- MCP extensors respond faster than flexors in individuals with severe-to-moderate stroke-caused impairment: Evidence of uncoupled neural pathways.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWalking speed is often used in the clinic to assess the level of gait impairment following stroke. Nonetheless, post-stroke individuals may employ the same walking speed but at a distinct movement quality. The main objective of this study was to explore a novel movement quality metric, the estimation of gait smoothness by the spectral arc length (SPARC), in individuals with a chronic stroke displaying mild/moderate or severe motor impairment while walking in an outdoor environment. Also, to quantify the correlation between SPARC, gait speed, motor impairment, and lower limb spasticity focused on understanding the relationship between the movement smoothness metric and common clinical assessments.
methodsThirty-two individuals with a chronic stroke and 32 control subjects participated in this study. The 10 meters walking test (10 MWT) was performed at the self-selected speed in an outdoor environment. The 10 MWT was instrumented with an inertial measurement unit system (IMU), which afforded the extraction of trunk angular velocities (yaw, roll, and pitch) and subsequent SPARC calculation.
resultsMovement smoothness was not influenced by gait speed in the control group, indicating that SPARC may constitute an additional and independent metric in the gait assessment. Individuals with a chronic stroke displayed reduced smoothness in the yaw and roll angular velocities (lower SPARC) compared with the control group. Also, severely impaired participants presented greater variability in smoothness along the 10 MWT. In the stroke group, a smoother gait in the pitch angular velocity was correlated with lower limb spasticity, likely indicating adaptive use of spasticity to maintain the pendular walking mechanics. Conversely, reduced smoothness in the roll angular velocity was related to pronounced spasticity.
conclusionsIndividuals with a chronic stroke displayed reduced smoothness in the yaw and roll angular velocities while walking in an outdoor environment. The quantification of gait smoothness using the SPARC metric may represent an additional outcome in clinical assessments of gait in individuals with a chronic stroke.
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Registered trials
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.