Simone Rivaroli, Lorenzo Lippi, Davide Pogliana, Alessio Turco, Alessandro de Sire, Marco Invernizzi
{"title":"Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation.","authors":"Simone Rivaroli, Lorenzo Lippi, Davide Pogliana, Alessio Turco, Alessandro de Sire, Marco Invernizzi","doi":"10.3791/67006","DOIUrl":null,"url":null,"abstract":"<p><p>Low back pain (LBP) is a highly prevalent disorder frequently related to biomechanical alterations. Movement pattern assessments have a role in the rehabilitation management of patients with LBP; however, a precise assessment is challenging in routine clinical settings. Thus, this study aims to assess the biomechanical alterations related to LBP through the development and application of an innovative assessment tool named CameraLab. Patients with LBP were assessed through a video analysis system. The movement pattern assessment tool includes a touchscreen interface and four high-velocity cameras, enabling real-time data acquisition during movement assessments. The cameras capture dynamic movements, facilitating a thorough examination of motor function. A video analysis software application is employed for precise angle assessments and joint tracking. Three patients with LBP were assessed, demonstrating positive results in pain intensity, functional independence, and overall well-being. The integration of advanced technology highlighted the movement pattern alterations and contributed to tailored rehabilitation strategies. The study offers a paradigm shift toward precision rehabilitation. This innovative approach provides valuable insights into the biomechanical changes related to LBP, fostering a deeper understanding for clinicians and paving the way for effective personalized interventions in the management of LBP.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 214","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jove-Journal of Visualized Experiments","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.3791/67006","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Low back pain (LBP) is a highly prevalent disorder frequently related to biomechanical alterations. Movement pattern assessments have a role in the rehabilitation management of patients with LBP; however, a precise assessment is challenging in routine clinical settings. Thus, this study aims to assess the biomechanical alterations related to LBP through the development and application of an innovative assessment tool named CameraLab. Patients with LBP were assessed through a video analysis system. The movement pattern assessment tool includes a touchscreen interface and four high-velocity cameras, enabling real-time data acquisition during movement assessments. The cameras capture dynamic movements, facilitating a thorough examination of motor function. A video analysis software application is employed for precise angle assessments and joint tracking. Three patients with LBP were assessed, demonstrating positive results in pain intensity, functional independence, and overall well-being. The integration of advanced technology highlighted the movement pattern alterations and contributed to tailored rehabilitation strategies. The study offers a paradigm shift toward precision rehabilitation. This innovative approach provides valuable insights into the biomechanical changes related to LBP, fostering a deeper understanding for clinicians and paving the way for effective personalized interventions in the management of LBP.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.