Trial reportSensors (Basel, Switzerland)2020
Validation, Reliability, and Responsiveness Outcomes Of Kinematic Assessment With An RGB-D Camera To Analyze Movement In Subacute And Chronic Low Back Pain.
Trial report in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03293095 (Functional Task Kinematic in Patient With Musculoskeletal Pathology.), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
Functional Task Kinematic in Patient With Musculoskeletal Pathology.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Evaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.Medical & biological engineering & computing · 2026Observational
- Robust Industrial Surface Defect Detection Using Statistical Feature Extraction and Capsule Network Architectures.Sensors (Basel, Switzerland) · 2025Article
- Assessment of Spinal and Pelvic Kinematics Using Inertial Measurement Units in Clinical Subgroups of Persistent Non-Specific Low Back Pain.Sensors (Basel, Switzerland) · 2024Article
- The Reliability and Validity of the Lie-to-Sit-to-Stand-to-Walk Transfer (LSSWT) Test in Knee Osteoarthritis.Indian journal of orthopaedics · 2023Article
- Reliability and Validity of Inertial Sensor Assisted Reaction Time Measurement Tools among Healthy Young Adults.Sensors (Basel, Switzerland) · 2022Article
- A Robust 3D-Based Color Correction Approach for Texture Mapping Applications.Sensors (Basel, Switzerland) · 2022Article
- Human motion capture for movement limitation analysis using an RGB-D camera in spondyloarthritis: a validation study.Medical & biological engineering & computing · 2021Article
- Enhancement of RGB-D Image Alignment Using Fiducial Markers.Sensors (Basel, Switzerland) · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe RGB-D camera is an alternative to asses kinematics in order to obtain objective measurements of functional limitations. The aim of this study is to analyze the validity, reliability, and responsiveness of the motion capture depth camera in sub-acute and chronic low back pain patients.
methodsThirty subjects (18-65 years) with non-specific lumbar pain were screened 6 weeks following an episode. RGB-D camera measurements were compared with an inertial measurement unit. Functional tests included climbing stairs, bending, reaching sock, lie-to-sit, sit-to-stand, and timed up-and-go. Subjects performed the maximum number of repetitions during 30 s. Validity was analyzed using Spearman's correlation, reliability of repetitions was calculated by the intraclass correlation coefficient and the standard error of measurement, and receiver operating characteristic curves were calculated to assess the responsiveness.
resultsThe kinematic analysis obtained variable results according to the test. The time variable had good values in the validity and reliability of all tests (r = 0.93-1.00, (intraclass correlation coefficient (ICC) = 0.62-0.93). Regarding kinematics, the best results were obtained in bending test, sock test, and sit-to-stand test (r = 0.53-0.80, ICC = 0.64-0.83, area under the curve (AUC) = 0.55-84).
conclusionFunctional tasks, such as bending, sit-to-stand, reaching, and putting on sock, assessed with the RGB-D camera, revealed acceptable validity, reliability, and responsiveness in the assessment of patients with low back pain (LBP).
trial registrationClinicalTrials.gov NCT03293095 "Functional Task Kinematic in Musculoskeletal Pathology" September 26, 2017.
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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.