Optical and physical processing for the analysis of pre-existing muscle injuries in the upper extremities
Keywords:
feasibility studies, injuries, movement, muscles, Peru, upper extremities.Abstract
Introduction: Diagnosing muscle injuries is a challenge in low-access healthcare contexts. Integrating motion analysis techniques can favor and comprehensively improve these injuries analysis.Objective: To develop an optical and physical processing approach for analyzing pre-existing muscle injuries in the upper body extremities.
Methods: An exploratory observational study was designed involving 7 Peruvian adults. Maneuvers were conducted to assess specific segments of the upper limb (conventional method), and the Skillspector software was used to collect and analyze biomechanical data based on optical and physical processing. Two methods were compared using 5 parameters of the Six Sigma methodology.
Results: 71.4 % of participants had injuries in the forearm, and 42.9 % showed a significant change in biomechanical variability. The conventional method had a lower Sigma (3.45) than the alternative method (5.55). Despite its advantages, the complexity in data manipulation and susceptibility to variables were limitations of the alternative method during patient digital modeling.
Conclusions: Optical and physical processing with Skillspector is highly effective in analyzing muscle injuries, surpassing the biomechanical maneuvers method.
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References
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7. Kumar UB, Dubey DP. Research Methodology: Techniques and Trends. New York: Chapman and Hall/CRC; 2022. DOI: 10.1201/9781315167138
8. Niemann J, Reich B, Stöhr C. Lean Six Sigma: Methods for Production Optimization. New York: Springer; 2024.
9. Calis M, Akgün K, Birtane M, Karacan I, Calis H, Tüzün F. Diagnostic values of clinical diagnostic tests in subacromial impingement síndrome [Internet]. Annals Rheum Dis. 2000; 59(1):44-7. DOI: 10.1136/ard.59.1.44
10. Cloke DJ, Watson H, Purdy S, Steen IN, Williams JR. A pilot randomized; controlled trial of treatment for painful arc of the shoulder [Internet]. J Shoulder Elbow Sur. 2008; 17(1 Suppl):17-21. DOI: 10.1016/j.jse.2007.07.005
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12. Granero J. Manual de Exploración Física del Aparato Locomotor. Madrid: Medical & Marketing Communications; 2010. [acceso: 02/04/2024]. Disponible en: https://books.google.com.pe/books/about/Manual_de_exploraci%C3%B3n_f%C3%ADsica_del_apara.html?id=8poUMwEACAAJ&redir_esc=y
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15. Nyayapati P, Booker J, Wu PIK, Theologis A, Dziesinski L, O'Neill C, et al. Compensatory biomechanics and spinal loading during dynamic maneuvers in patients with chronic low back pain [Internet]. Europ Spine J. 2022; 31(7):1889-96. DOI: 10.1007/s00586-022-07253-4
16. Soto SAF. Modelamiento de la marcha de personas con la enfermedad de Parkinson [Internet]. [Tesis de maestría]. Cuenca: Unidad de Postgrados; Universidad Politécnica Salesiana; 2018. [acceso: 02/04/2024]. Disponible en: https://dspace.ups.edu.ec/handle/123456789/15481
17. Camperos SAC, Arguello MLG. Análisis cinemático del gesto del remate en dos momentos de la práctica deportiva del voleibol de la selección femenina de voleibol de la Universidad de Pamplona [Internet]. [Tesis de titulación]. Pamplona: Facultad de Salud; Universidad de Pamplona; 2020. [acceso: 02/04/2024]. Disponible en: http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/842
18. Huarachi LA, Lozano-Zanelly G, Acosta J, Huarachi CA, Moya-Salazar J. Inequality in the distribution of resources and health care in the poverty quintiles: Evidence from Peruvian comprehensive health insurance 2018-2019 [Internet]. Electron J Gen Med. 2024; 21(1):em568. DOI: 10.29333/ejgm/14160
19. Ministerio de Salud. Resolución Ministerial N° 427-2023-MINSA. Plan Operativo Institucional (POI) Multianual 2024-2026. Lima: Ministerio de Salud; 2023.
20. Rathi R, Vakharia A, Shadab M. Lean six sigma in the healthcare sector: A systematic literature review [Internet]. Mater Today Proc. 2022; 50(5):773-81. DOI: 10.1016/j.matpr.2021.05.534
21. Peluso MJ, Josell SD, Levine SW, Lorei BJ. Digital models: An introduction [Internet]. Sem Orthodont. 2004; 10(3): 226-38. DOI: 10.1053/j.sodo.2004.05.007
21. López-Valenciano A, Ayala F, Puerta JM, DE Ste Croix MBA, Vera-Garcia FJ, Hernández-Sánchez S, Ruiz-Pérez I, Myer GD. A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms. Med Sci Sports Exerc. 2018; 50(5):915-927. DOI: 10.1249/MSS.0000000000001535
Published
2024-08-10
How to Cite
1.
Moya-Salazar J, Sabino IP, Rojas-Zumaran V, Espinoza-Morriberon D. Optical and physical processing for the analysis of pre-existing muscle injuries in the upper extremities. Rev Cubana Med Milit [Internet]. 2024 Aug. 10 [cited 2025 Apr. 6];53(3):e024030386. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/38386
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