13 research outputs found

    Health Related Quality of Life and Return to Work After Minor Extremity Injuries: a Longitudinal Study Comparing Upper Versus Lower Extremity Injuries

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    Purpose: To investigate the impact on health related quality of life (HRQL) during the first year after minor extremity injury and to determine whether there is a difference in recovery patterns and return to work between upper extremity injuries (UEI) and lower extremity injuries (LEI). Method: A total of 181 adults’ age 18 years or older randomly selected from patients admitted to an emergency department with minor injuries were studied. HRQL was measured using the Functional Status Questionnaire (FSQ) at 1–2 weeks, 3, 6, and 12-months post-injury. Pre-injury FSQ scores were measured retrospectively at admission. A quasi-least square (QLS) model was constructed to examine differences of FSQ scores at each measuring point for UEI and LEI. Results: Fractures of the knee/lower leg (25%) were the most frequently injured body area. Slips or falls (57%) and traffic-related events (22%) were the most common injury causes. The mean ISS was 4.2 (SD 0.86). Both groups had significant declines in the FSQ scores physical and social functioning at 1–2 weeks after injury. Patients with UEI made larger improvements in the first 3 months post-injury versus patients with LEI whose improvements extended over the first 6 months. None of the groups reached the pre-injury FSQ scores during the first post-injury year except in the subscale work performance where UEI exceeded the pre-injury scores. At 12 months post-injury, significant lower FSQ scores remained in the LEI group compared to the UEI group in intermediate activities of daily living (p = 0.036, d 0.4) and work performance (p = 0.004, d 0.7). The return to work at 3 months and 12 months were 76% and 88% for UEI and 58% and 77% for LEI. No significant differences were found between groups in the FSQ scale mental health and social interaction. Conclusions: LEI had the highest impact on HRQL and return to work during the first year which exceeded the consequences of UEI. These findings contribute to the information about the consequences of injury in order to give sufficient prognostic information to patients and different stakeholders. Future investigations should aim to investigate specific minor extremity injuries and identify factors that facilitate recovery and return to work

    ACCURATE 3D SCANNING OF DAMAGED ANCIENT GREEK INSCRIPTIONS FOR REVEALING WEATHERED LETTERS

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    In this paper two non-invasive non-destructive alternative techniques to the traditional and invasive technique of squeezes are presented alongside with specialized developed processing methods, aiming to help the epigraphists to reveal and analyse weathered letters in ancient Greek inscriptions carved in masonry or marble. The resulting 3D model would serve as a detailed basis for the epigraphists to try to decipher the inscription. The data were collected by using a Structured Light scanner. The creation of the final accurate three dimensional model is a complicated procedure requiring large computation cost and human effort. It includes the collection of geometric data in limited space and time, the creation of the surface, the noise filtering and the merging of individual surfaces. The use of structured light scanners is time consuming and requires costly hardware and software. Therefore an alternative methodology for collecting 3D data of the inscriptions was also implemented for reasons of comparison. Hence, image sequences from varying distances were collected using a calibrated DSLR camera aiming to reconstruct the 3D scene through SfM techniques in order to evaluate the efficiency and the level of precision and detail of the obtained reconstructed inscriptions. Problems in the acquisition processes as well as difficulties in the alignment step and mesh optimization are also encountered. A meta-processing framework is proposed and analysed. Finally, the results of processing and analysis and the different 3D models are critically inspected and then evaluated by a specialist in terms of accuracy, quality and detail of the model and the capability of revealing damaged and ”hidden” letters

    Accurate 3D scanning of damaged ancient greek inscriptions for revealing weathered letters

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    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Volume 40, Issue 5W4, 2015, Pages 237-243In this paper two non-invasive non-destructive alternative techniques to the traditional and invasive technique of squeezes are presented alongside with specialized developed processing methods, aiming to help the epigraphists to reveal and analyse weathered letters in ancient Greek inscriptions carved in masonry or marble. The resulting 3D model would serve as a detailed basis for the epigraphists to try to decipher the inscription. The data were collected by using a Structured Light scanner. The creation of the final accurate three dimensional model is a complicated procedure requiring large computation cost and human effort. It includes the collection of geometric data in limited space and time, the creation of the surface, the noise filtering and the merging of individual surfaces. The use of structured light scanners is time consuming and requires costly hardware and software. Therefore an alternative methodology for collecting 3D data of the inscriptions was also implemented for reasons of comparison. Hence, image sequences from varying distances were collected using a calibrated DSLR camera aiming to reconstruct the 3D scene through SfM techniques in order to evaluate the efficiency and the level of precision and detail of the obtained reconstructed inscriptions. Problems in the acquisition processes as well as difficulties in the alignment step and mesh optimization are also encountered. A meta-processing framework is proposed and analysed. Finally, the results of processing and analysis and the different 3D models are critically inspected and then evaluated by a specialist in terms of accuracy, quality and detail of the model and the capability of revealing damaged and "hidden" letters

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