ArticleSensors (Basel, Switzerland)2021
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses 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
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Pooled it
- eHealth tools to assess the neurological function for research, in absence of the neurologist: a systematic review, part II (hardware).Journal of neurology · 2025Pooled it
- Effect of Wearable Sensor-Based Exercise on Musculoskeletal Disorders in Individuals With Neurodegenerative Diseases: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Construct validity of instrumented gait assessments in hospital and daily life mobility in patients with Parkinson's disease and atypical Parkinson's syndromes: an exploratory study.Journal of neurology · 2026Trial
- Passive sensing of gait and medication-related fluctuations in Parkinson's disease.Journal of neuroengineering and rehabilitation · 2026Article
- Motor and non-motor fluctuations in Parkinson's disease: the knowns and unknowns of current therapeutic approaches.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Can OpenCap deliver valid and reliable kinematic data for motion analysis? A systematic review and three-level meta-analysis.Biology of sport · 2026Review
- A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts.Scientific data · 2025Article
- A New Methodological Approach Integrating Motion Capture and Pressure-Sensitive Gait Data to Assess Functional Mobility in Parkinson's Disease: A Two-Phase Study.Sensors (Basel, Switzerland) · 2025Article
- Modernizing the Staging of Parkinson Disease Using Digital Health Technology.Journal of medical Internet research · 2025Article
- Gait Parameters Can Be Derived Reliably and Validly from Augmented Reality Glasses in People with Parkinson's Disease Performing 10-m Walk Tests at Comfortable and Fast Speeds.Sensors (Basel, Switzerland) · 2025Article
- Creating Refined Datasets for Better Chaos Detection.Sensors (Basel, Switzerland) · 2025Article
- Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture.Biomimetics (Basel, Switzerland) · 2025Article
- Article
- Heart disease prediction with a feature-sensitized interpretable framework for the Internet of Medical Things sensors.Frontiers in digital health · 2025Article
- Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions.Frontiers in bioengineering and biotechnology · 2025Article
- Telemedicine for the Care of Patients with Idiopathic Inflammatory Myopathies: Experience, Insights and Future Directions from the International Myositis Assessment and Clinical Studies Telemedicine Scientific Interest Group.Current rheumatology reports · 2024Article
- Research on Monitoring Assistive Devices for Rehabilitation of Movement Disorders through Multi-Sensor Analysis Combined with Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Reliability of patient-specific gait profiles with inertial measurement units during the 2-min walk test in incomplete spinal cord injury.Scientific reports · 2024Article
- Accuracy validation of a wearable IMU-based gait analysis in healthy female.BMC sports science, medicine & rehabilitation · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital technologies provide the opportunity to analyze gait patterns in patients with Parkinson's Disease using wearable sensors in clinical settings and a home environment. Confirming the technical validity of inertial sensors with a 3D motion capture system is a necessary step for the clinical application of sensor-based gait analysis. Therefore, the objective of this study was to compare gait parameters measured by a mobile sensor-based gait analysis system and a motion capture system as the gold standard. Gait parameters of 37 patients were compared between both systems after performing a standardized 5 × 10 m walking test by reliability analysis using intra-class correlation and Bland-Altman plots. Additionally, gait parameters of an age-matched healthy control group (
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What OpenQuestion holds
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.