ArticleJournal of neuroengineering and rehabilitation2020
Assessment of Parkinsonian gait in older adults with dementia via human pose tracking in video data.
Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05366114 (Assessing the Feasibility of a Smartphone-based, Machine Learning Visual Imaging Application for Assessment of Hyperextensibility of Peripheral Joints in Ehlers Danlos Syndrome), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.
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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.
Assessing the Feasibility of a Smartphone-based, Machine Learning Visual Imaging Application for Assessment of Hyperextensibility of Peripheral Joints in Ehlers Danlos Syndrome
Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Computer Vision Technologies in Movement Disorders: A Systematic Review.Movement disorders clinical practice · 2025Pooled it
- Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review.JMIR aging · 2024Pooled it
- A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.Journal of neuroengineering and rehabilitation · 2023Pooled it
- Assessment of change in drug-induced parkinsonism in daily-life gait using vision-based machine learning.PLOS digital health · 2026Article
- Wearable Sensor Technologies and Gait Analysis for Early Detection of Dementia: Trends and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Video-Based Data-Driven Models for Diagnosing Movement Disorders: Review and Future Directions.Movement disorders : official journal of the Movement Disorder Society · 2025Review
- AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.Annals of neurology · 2025Review
- Predicting Freezing of Gait in Parkinson's Disease: A Machine-Learning-Based Approach in ON and OFF Medication States.Journal of clinical medicine · 2025Article
- Multimodal Technologies for Remote Assessment of Neurological and Mental Health.Journal of speech, language, and hearing research : JSLHR · 2024Review
- Video-based Clinical Gait Analysis in Parkinson's Disease: A Novel Approach Using Frontal Plane Videos and Machine Learning.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Special collection in association with the 2023 International Conference on aging, innovation and rehabilitation.Biomedical engineering online · 2024Article
- Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques.Movement disorders : official journal of the Movement Disorder Society · 2024Article
- Motion Capture Technologies for Ergonomics: A Systematic Literature Review.Diagnostics (Basel, Switzerland) · 2023Review
- The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults' walking.Scientific data · 2022Article
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
- Detection and assessment of Parkinson's disease based on gait analysis: A survey.Frontiers in aging neuroscience · 2022Review
- Concurrent Validity of Zeno Instrumented Walkway and Video-Based Gait Features in Adults With Parkinson's Disease.IEEE journal of translational engineering in health and medicine · 2022Article
- Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.Medical image analysis · 2021Article
- Concurrent validity of human pose tracking in video for measuring gait parameters in older adults: a preliminary analysis with multiple trackers, viewing angles, and walking directions.Journal of neuroengineering and rehabilitation · 2021Article
- A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson's Disease.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParkinsonism is common in people with dementia, and is associated with neurodegenerative and vascular changes in the brain, or with exposure to antipsychotic or other dopamine antagonist medications. The detection of parkinsonian changes to gait may provide an opportunity to intervene and address reversible causes. In this study, we investigate the use of a vision-based system as an unobtrusive means to assess severity of parkinsonism in gait.
methodsVideos of walking bouts of natural gait were collected in a specialized dementia unit using a Microsoft Kinect sensor and onboard color camera, and were processed to extract sixteen 3D and eight 2D gait features. Univariate regression to gait quality, as rated on the Unified Parkinson's Disease Rating Scale (UPDRS) and Simpson-Angus Scale (SAS), was used to identify gait features significantly correlated to these clinical scores for inclusion in multivariate models. Multivariate ordinal logistic regression was subsequently performed and the relative contribution of each gait feature for regression to UPDRS-gait and SAS-gait scores was assessed.
resultsFour hundred one walking bouts from 14 older adults with dementia were included in the analysis. Multivariate ordinal logistic regression models incorporating selected 2D or 3D gait features attained similar accuracies: the UPDRS-gait regression models achieved accuracies of 61.4 and 62.1% for 2D and 3D features, respectively. Similarly, the SAS-gait models achieved accuracies of 47.4 and 48.5% with 2D or 3D gait features, respectively.
conclusionsGait features extracted from both 2D and 3D videos are correlated to UPDRS-gait and SAS-gait scores of parkinsonism severity in gait. Vision-based systems have the potential to be used as tools for longitudinal monitoring of parkinsonism in residential settings.
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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.