Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3390/ijerph191912033
Shoulder dysfunctions represent the third musculoskeletal disorder by frequency. However, monitoring the movement of the shoulder is particularly challenging due to the complexity of the joint kinematics. The 3D kinematic analysis with optical motion capture systems (OMCs) makes it possible to overcome clinical tests’ shortcomings and obtain objective data on the characteristics and quality of movement. This systematic review aims to retrieve the current knowledge about using OMCs for 3D shoulder kinematic analysis in patients with musculoskeletal shoulder disorders and their corresponding clinical relevance. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. Studies employing OMCs for 3D kinematic analysis in patients with musculoskeletal shoulder disorders were retrieved. Eleven articles were considered eligible for this study. OMCs can be considered a powerful tool in orthopedic clinical research. The high costs and organizing complexities of experimental setups are likely outweighed by the impact of these systems in guiding clinical practice and patient follow-up. However, additional high-quality studies on using OMCs in clinical practice are required, with standardized protocols and methodologies to make comparing clinical trials easier.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph191912033
- https://www.mdpi.com/1660-4601/19/19/12033/pdf?version=1664157209
- OA Status
- gold
- Cited By
- 31
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297198626
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297198626Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijerph191912033Digital Object Identifier
- Title
-
Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder DisordersWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-23Full publication date if available
- Authors
-
Umile Giuseppe Longo, Sergio De Salvatore, Arianna Carnevale, Salvatore Maria Tecce, Benedetta Bandini, Alberto Lalli, Emiliano Schena, Vincenzo DenaroList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph191912033Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/19/19/12033/pdf?version=1664157209Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1660-4601/19/19/12033/pdf?version=1664157209Direct OA link when available
- Concepts
-
Kinematics, Motion capture, Physical medicine and rehabilitation, Motion analysis, Orthopedic surgery, Medicine, Physical therapy, Motion (physics), Systematic review, Meta-analysis, MEDLINE, Computer science, Artificial intelligence, Surgery, Pathology, Classical mechanics, Physics, Law, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
31Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 12, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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