ArticleJournal of movement disorders2022
Automatic Measurement of Postural Abnormalities With a Pose Estimation Algorithm in Parkinson's Disease.
Article in Journal of movement disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- AI Video Analysis in Parkinson's Disease: A Systematic Review of the Most Accurate Computer Vision Tools for Diagnosis, Symptom Monitoring, and Therapy Management.Sensors (Basel, Switzerland) · 2025Pooled it
- Botulinum Toxin for Axial Postural Abnormalities in Parkinson's Disease: A Systematic Review.Toxins · 2024Pooled it
- A novel multimodal AI framework for early diagnosis of idiopathic Parkinson's disease.Medical & biological engineering & computing · 2026Article
- Validating Single-Camera Pose Estimation Against Multi-Camera Motion Capture for Accessible Biomechanical Assessment.IEEE access : practical innovations, open solutions · 2026Article
- Relationship between body segment movements and center of pressure shifts during trunk lean movements while sitting in healthy adults.Frontiers in rehabilitation sciences · 2026Article
- RecovGait: Occluded Parkinson's Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique.Sensors (Basel, Switzerland) · 2025Article
- Camptocormia in Parkinson's disease: state of the art and future directions.Journal of neurology · 2025Review
- Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson's Disease: Video-Based Analysis From a Single Camera.Journal of movement disorders · 2025Article
- Assessment of Axial Postural Abnormalities in Parkinsonism: Automatic Picture Analysis Software.Movement disorders clinical practice · 2023Article
- Camera- and Viewpoint-Agnostic Evaluation of Axial Postural Abnormalities in People with Parkinson's Disease through Augmented Human Pose Estimation.Sensors (Basel, Switzerland) · 2023Article
- Three-Dimensional Mesh Recovery from Common 2-Dimensional Pictures for Automated Assessment of Body Posture in Camptocormia.Movement disorders clinical practice · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThis study aims to develop an automated and objective tool to evaluate postural abnormalities in Parkinson's disease (PD) patients.
methodsWe applied a deep learning-based pose-estimation algorithm to lateral photos of prospectively enrolled PD patients (n = 28). We automatically measured the anterior flexion angle (AFA) and dropped head angle (DHA), which were validated with conventional manual labeling methods.
resultsThe automatically measured DHA and AFA were in excellent agreement with manual labeling methods (intraclass correlation coefficient > 0.95) with mean bias equal to or less than 3 degrees.
conclusionThe deep learning-based pose-estimation algorithm objectively measured postural abnormalities in PD patients.
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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.