ArticleEuropean journal of physical and rehabilitation medicine2023
Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients.
Article in European journal of physical and rehabilitation medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Instrumented Timed Up and Go (iTUG): A Systematic Review of Parameters Across Healthy, Older, and Neurological Populations.Journal of clinical medicine · 2026Review
- IFRA: A Machine Learning-Based Instrumented Fall Risk Assessment Scale Derived from an Instrumented Timed Up and Go Test in Stroke Patients.Healthcare (Basel, Switzerland) · 2026Article
- Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.Frontiers in neurology · 2026Article
- Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis.Sensors (Basel, Switzerland) · 2025Article
- Wearable Sensor Assessment of Gait Characteristics in Individuals Awaiting Total Knee Arthroplasty: A Cross-Sectional, Observational Study.Journal of functional morphology and kinesiology · 2025Article
- Functional Mobility Studies in Younger Adults: Instrumented Timed Up and Go (iTUG) Test Using Inertial Devices.Journal of clinical medicine · 2025Article
- The Efficacy of HIIT Programs for the Improvement of Aerobic Capacity and Functionality for Stroke Survivors: Systematic Review and Meta-Analysis.Neurology research international · 2025Review
- Validity of Wearable Gait Analysis System for Measuring Lower-Limb Kinematics during Timed Up and Go Test.Sensors (Basel, Switzerland) · 2024Article
- Evaluation of Patients' Levels of Walking Independence Using Inertial Sensors and Neural Networks in an Acute-Care Hospital.Bioengineering (Basel, Switzerland) · 2024Article
- A Step Forward Understanding Directional Limitations in Markerless Smartphone-Based Gait Analysis: A Pilot Study.Sensors (Basel, Switzerland) · 2024Article
- Smartphone-based evaluation of static balance and mobility in long-lasting COVID-19 patients.Frontiers in neurology · 2023Article
- Mim-pong: a serious game for assessment and treatment of the lower limb in hemiparetic stroke patients.Archives of physiotherapyArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTurning may be particularly challenging for stroke patients leading to decreased mobility and increased functional restriction. Timed up and go instrumentation using a simple technology in the clinical context could allow for the collection of both traditional and potentially more discriminatory variables in turning ability.
aimDetermine whether the speed turning metrics obtained by a single inertial sensor are suitable for differentiating between stroke patients with varying levels of mobility and disability.
designCross-sectional study.
settingOutpatients setting. POPULATION: Chronic stroke patients.
methodsA total of 48 chronic stroke patients and 23 healthy controls were included. Stroke patients were divided in two groups based on the total iTUG score: an impaired mobility (> 20 seconds) and an available mobility (<20 seconds) group. All subjects performed an instrumented Timed Up and Go (iTUG) wearing a single IMU sensor on the lower back. Time of subcomponents of the timed up and go test and kinematic parameters of turning were quantified. Other clinical outcomes were: 10 meters walk test, Functional Ambulation Categories Scale (FAC), the Rivermead Mobility Index (RMI), Modified Rankin Scale and the Saltin-Grimby Physical Activity Level Scale (SGPALS).
resultsThere were significant differences (P<0.01) in iTUG phases and turning speeds among groups. Low to strong significant correlations were found between measures derived from the turning speeds and clinical measures. The area under the curve (AUC) of Receiver Operating Characteristic (ROC) turning speeds was demonstrated to be able to discriminate (AUC: 0.742-0.912) from available to impaired stroke patients.
conclusionsThis study provides evidence that turning speeds during timed up and go test are accurate measures of mobility and capable of discriminating stroke patients with impaired mobility from those with normal mobility. CLINICAL REHABILITATION IMPACT: The turning metrics are related to impairment and mobility in chronic stroke patients; hence they are important to include during clinical evaluation and may assist in creating a customized strategy, assess potential treatments, and effectively organize recovery.
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