ArticleSensors (Basel, Switzerland)2023
Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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
- Examination of effect and responder to real-time auditory feedback during overground gait for stroke: a randomized cross-over study.Scientific reports · 2025Trial
- Efficacy observation of combined transcutaneous vagus nerve stimulation and transcranial direct current stimulation on gait in 169 subacute stroke patients.Journal of rehabilitation medicine · 2024Trial
- Concurrent Validity and Reliability of Inertial Sensor-Based Wearables for Quantifying Spatial-Temporal Gait Parameters After Stroke: A Systematic Review.Brain sciences · 2026Review
- Development of a Therapist-worn Gait Training Support System: A Pilot Feasibility Study.Progress in rehabilitation medicine · 2026Article
- Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.Frontiers in neurology · 2026Article
- Effects of frailty and walking speed on gait variability in older adults.Frontiers in medicine · 2026Article
- Value of Robotics: Comparison of Three Different High-Intensity Training Programs for Rehabilitation After Stroke.Sensors (Basel, Switzerland) · 2025Article
- Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2024Observational
- 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
- Dual Tasking Affects the Outcomes of Instrumented Timed up and Go, Sit-to-Stand, Balance, and 10-Meter Walk Tests in Stroke Survivors.Sensors (Basel, Switzerland) · 2024Article
- 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
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The restoration of gait and mobility after stroke is an important and challenging therapy goal due to the complexity of the potentially impaired functions. As a result, precise and clinically feasible assessment methods are required for personalized gait rehabilitation after stroke. The aim of this study is to investigate the reliability and validity of a sensor-based gait analysis system in stroke survivors with different severities of gait deficits. For this purpose, 28 chronic stroke survivors (9 women, ages: 62.04 ± 11.68 years) with mild to moderate walking impairments performed a set of ambulatory assessments (3× 10MWT, 1× 6MWT per session) twice while being equipped with a sensor suit. The derived gait reports provided information about speed, step length, step width, swing and stance phases, as well as joint angles of the hip, knee, and ankle, which we analyzed for test-retest reliability and hypothesis testing. Further, test-retest reliability resulted in a mean ICC of 0.78 (range: 0.46-0.88) for walking 10 m and a mean ICC of 0.90 (range: 0.63-0.99) for walking 6 min. Additionally, all gait parameters showed moderate-to-strong correlations with clinical scales reflecting lower limb function. These results support the applicability of this sensor-based gait analysis system for individuals with stroke-related walking impairments.
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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.