{"title":"Whole-cycle and time-specific validation of a GUI-based ground reaction force estimation tool for clinical gait analysis without a force plate","authors":"Pegah Jamali , Li-Shan Chou , Robert D. Catena","doi":"10.1016/j.medengphy.2025.104366","DOIUrl":null,"url":null,"abstract":"<div><div>Relying on patients to make clean contacts with multiple force plates during clinical gait analysis can be time-consuming and dissuade clinicians from collecting biomechanical data. Several methods have been proposed to estimate ground reaction forces (GRFs) without force plates, though many can be computationally intensive. As an alternative to measuring GRFs, we evaluated the whole cycle and time frame accuracy of a built-in, GUI-based GRF estimation tool.</div><div>Twenty-seven healthy adult participants walked over two consecutive force plates. We evaluated the accuracy of estimated GRFs against force plates as the gold standard using correlation, residual error analysis, and statistical parametric mapping (SPM).</div><div>Estimated GRF magnitudes were accurate in the anterior-posterior (R<sup>2</sup>=0.86, %RMSE=7.28), and vertical directions (R<sup>2</sup>=0.86, %RMSE=6.09), but not in the medio-lateral direction (R<sup>2</sup>=0.30, %RMSE=12.46). SPM revealed errors in the sagittal plane in mid- and late-stance, with no specific errors in the medio-lateral direction.</div><div>Estimated centers of pressure (CoPs) showed good accuracy (R<sup>2</sup>≥0.99, %RMSE≤4.46). However, SPM showed estimated CoPs were consistently anterior to the true CoPs.</div><div>Sagittal GRFs are predicted with good accuracy, showing whole cycle errors comparable to more complex methods, while also displaying little early stance error and offering user-friendly implementation.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"141 ","pages":"Article 104366"},"PeriodicalIF":1.7000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Engineering & Physics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350453325000852","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Relying on patients to make clean contacts with multiple force plates during clinical gait analysis can be time-consuming and dissuade clinicians from collecting biomechanical data. Several methods have been proposed to estimate ground reaction forces (GRFs) without force plates, though many can be computationally intensive. As an alternative to measuring GRFs, we evaluated the whole cycle and time frame accuracy of a built-in, GUI-based GRF estimation tool.
Twenty-seven healthy adult participants walked over two consecutive force plates. We evaluated the accuracy of estimated GRFs against force plates as the gold standard using correlation, residual error analysis, and statistical parametric mapping (SPM).
Estimated GRF magnitudes were accurate in the anterior-posterior (R2=0.86, %RMSE=7.28), and vertical directions (R2=0.86, %RMSE=6.09), but not in the medio-lateral direction (R2=0.30, %RMSE=12.46). SPM revealed errors in the sagittal plane in mid- and late-stance, with no specific errors in the medio-lateral direction.
Estimated centers of pressure (CoPs) showed good accuracy (R2≥0.99, %RMSE≤4.46). However, SPM showed estimated CoPs were consistently anterior to the true CoPs.
Sagittal GRFs are predicted with good accuracy, showing whole cycle errors comparable to more complex methods, while also displaying little early stance error and offering user-friendly implementation.
期刊介绍:
Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care.Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.