Introduction: Radiostereometric analysis has demonstrated its capacity to track precise motion of the bones within a subject during motion. Existing devices for imaging the body in two planes are often custom built systems; we present here the design and marker-based validation of a system that has been optimized to image the foot during gait.
Methods: Mechanical modifications were made to paired BV Pulsera C-arms (Philips Medical Systems) to allow unfettered gait through the imaging area. Image quality improvements were obtained with high speed cameras and the correction of image distorting artifacts. To assess the system's accuracy, we placed beads at known locations throughout the imaging field, and used post processing software to calculate their apparent locations.
Results: Distortion correction reduced overall RMS error from 6.56 mm to 0.17 mm. When tracking beads in static images a translational accuracy of 0.094 ± 0.081 mm and rotational accuracy of 0.083 ± 0.068° was determined. In dynamic trials simulating speeds seen during walking, accuracy was 0.126 ± 0.122 mm.
Discussion: The accuracies and precisions found are within the reported ranges from other such systems. With the completion of marker-based validation, we look to model-based validation of the foot during gait.
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http://dx.doi.org/10.1016/j.medengphy.2013.08.013 | DOI Listing |
Int J Exerc Sci
December 2024
Department of Sport and Health Sciences, Technical University of Munich, Munich, BY, GERMANY.
In weightlifting, quantitative kinematic analysis is essential for evaluating snatch performance. While marker-based (MB) approaches are commonly used, they are impractical for training or competitions. Markerless video-based (VB) systems utilizing deep learning-based pose estimation algorithms could address this issue.
View Article and Find Full Text PDFMed Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Embrapa Mandioca e Fruticultura, Rua Embrapa s/n CP 007, Bairro Chapadinha, Cruz das Almas 44380-000, Bahia, Brazil.
wilt is a soil borne fungal disease that has devastated banana production in plantations around the world. Most Cavendish-type bananas are susceptible to strains of f. sp.
View Article and Find Full Text PDFNat Prod Res
December 2024
Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, JNMC Campus, Belagavi, Karnataka, India.
Diabetes mellitus is a rising global health issue, necessitating effective and affordable treatments. This study aimed to develop marker-based quantification methods for using a DoE approach and conduct anti-diabetic screening of its phytoconstituents. Methanolic extracts of the plant underwent fractionation, with the chloroform fraction used for simultaneous HPLC quantification of Plumbagin and Juglone.
View Article and Find Full Text PDFJ Biomech
January 2025
Centre for Orthopaedic Trauma and Research, Adelaide Medical School, University of Adelaide, Australia.
Biomechanical analysis is increasingly being undertaken in field-based settings, often using inertial sensors or video-based pose estimation. These advancements necessitate more practical and accessible scaling methods as alternatives to traditional laboratory-based techniques like optical marker-based scaling. LiDAR scanning is a technique that could provide a reliable and efficient means of scaling biomechanical models.
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