ArticleJournal of neuroengineering and rehabilitation2021
Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning.
Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Botulinum Toxin for Axial Postural Abnormalities in Parkinson's Disease: A Systematic Review.Toxins · 2024Pooled it
- Peripherical Electrical Stimulation for Parkinsonian Tremor: A Systematic Review.Frontiers in aging neuroscience · 2022Pooled it
- Efficacy and safety ofBMC neurology · 2026Trial
- A novel multimodal AI framework for early diagnosis of idiopathic Parkinson's disease.Medical & biological engineering & computing · 2026Article
- From RGB-D to RGB-Only: Reliability and Clinical Relevance of Markerless Skeletal Tracking for Postural Assessment in Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- A Network Centered on the Visual-Motor Cortex Is Critically Involved in Postural Abnormality in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Camptocormia in Parkinson's disease: state of the art and future directions.Journal of neurology · 2025Review
- Collection of the digital data from the neurological examination.NPJ digital medicine · 2025Article
- Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.Journal of Parkinson's disease · 2025Article
- Intelligent Assessment Techniques for Abnormal Movement Patterns in Neurological Disorders: Applications and Advances.Behavioural neurology · 2025Review
- Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability.Sensors (Basel, Switzerland) · 2024Article
- Early-onset and late-onset Parkinson's disease exhibit a different profile of gait and posture features based on the Kinect.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- 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
- Functional improvement of patients with Parkinson syndromes using a rehabilitation training software.Frontiers in neurology · 2023Article
- A summary index derived from Kinect to evaluate postural abnormalities severity in Parkinson's Disease patients.NPJ Parkinson's disease · 2022Article
- Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review.Sensors (Basel, Switzerland) · 2022Review
- Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson's disease.Frontiers in aging neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutomated and accurate assessment for postural abnormalities is necessary to monitor the clinical progress of Parkinson's disease (PD). The combination of depth camera and machine learning makes this purpose possible.
methodsKinect was used to collect the postural images from 70 PD patients. The collected images were processed to extract three-dimensional body joints, which were then converted to two-dimensional body joints to obtain eight quantified coronal and sagittal features (F1-F8) of the trunk. The decision tree classifier was carried out over a data set established by the collected features and the corresponding doctors' MDS-UPDRS-III 3.13 (the 13th item of the third part of Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale) scores. An objective function was implanted to further improve the human-machine consistency.
resultsThe automated grading of postural abnormalities for PD patients was realized with only six selected features. The intraclass correlation coefficient (ICC) between the machine's and doctors' score was 0.940 (95%CI, 0.905-0.962), meaning the machine was highly consistent with the doctors' judgement. Besides, the decision tree classifier performed outstandingly, reaching 90.0% of accuracy, 95.7% of specificity and 89.1% of sensitivity in rating postural severity.
conclusionsWe developed an intelligent evaluation system to provide accurate and automated assessment of trunk postural abnormalities in PD patients. This study demonstrates the practicability of our proposed method in the clinical scenario to help making the medical decision about PD.
Indexed as
Identifiers
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.