ArticleFrontiers in human neuroscience2022
Measurement Accuracy of Freezing of Gait Scoring Based on Videos.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Japanese translation of lindop parkinson's disease mobility assessment (LPA): validity and reliability study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Deep learning for freezing of gait assessment using inertial measurement units: a multicentre validation study.NPJ Parkinson's disease · 2026Article
- An updated definition of freezing of gait.Nature reviews. Neurology · 2026Review
- Beyond the Leaderboard: Evaluating the Robustness of Deep Learning Models for Detecting Freezing of Gait.The European journal of neuroscience · 2026Article
- Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.Journal of neuroengineering and rehabilitation · 2025Article
- The effects of dopaminergic medication and task load on trembling and akinetic freezing of gait in Parkinson's disease.Journal of neurology · 2025Article
- A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects.Nature communications · 2024Article
- Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops.Journal of neuroengineering and rehabilitation · 2024Article
- Intelligent diagnosis system based on artificial intelligence models for predicting freezing of gait in Parkinson's disease.Frontiers in medicine · 2024Article
- Validity and reliability of an app-based medical device to empower individuals in evaluating their physical capacities.PloS one · 2023Article
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8 authors.
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Abstract
Freezing of gait (FOG) is a common symptom in the late stages of Parkinson's disease and related disorders. Videos are the gold standard method to conduct FOG scoring; however, the measurement accuracy of FOG scoring based on videos has not been formally assessed, despite its use in previous studies. This study aimed to calculate the measurement accuracy of video-based FOG scoring. Three evaluators scored the FOG based on 157 video data points collected from 21 patients using an annotation tool. One evaluator measured the intra-rater reliability of the retest. The total duration of observed FOG, percentage of the time spent with FOG during the walking task (%FOG), and FOG phenotypes (shuffling, trembling, and complete akinesia) were evaluated. Intraclass correlation coefficients were used to determine the intra- and inter-rater reliabilities. The duration of FOG and %FOG showed good measurement accuracy for both intra-rater and inter-rater reliabilities. However, the FOG phenotypes showed poor measurement accuracy in inter-rater reliability. These results indicate that the temporal characteristics of FOG can be scored with a high degree of measurement accuracy, even with different evaluators; conversely, the FOG phenotypes need to be scored by several evaluators.
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