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A descriptive design was used in this study to describe the feeding behaviors (as defined by changes in body position) in infants with congestive heart failure secondary to congenital heart disease. In addition, short term physiologic changes associated with the behaviors were measured through the use of pulse oximetry and cardiorespiratory monitors. Nine infants were observed in this study as they were being fed by their nurses. The method chosen was naturalistic observation. Descriptive statistics were used to analyze the demographic data and the measured physiologic variables. A point by serial correlation was conducted to describe any relationships between the position changes and the measured physiologic variables. Statistically significant relationships were found between certain positions and oxygen saturation, heart rate and respiratory rate. The results indicate that infants do experience position changes that are accompanied by changes in physiologic variables during feeding. These position changes can be categorized as infant-mediated or nurse-mediated.

Title from PDF of title page. / Document formatted into pages; contains 69 pages. / Thesis (Ph.D.)--University of South Florida, 2001. / Includes bibliographical references. / Text (Electronic thesis) in PDF format. / ABSTRACT: Nursing staff members (registered nurses, licensed practical nurses, and nursing aides) have one of the highest incidence rates of work-related musculoskeletal disorders (WMSDs) of all occupations. Ergonomic research has identified patient handling and movement tasks that put the caregiver at high risk for a WMSD each time they are performed. The purpose of this study was to determine whether the frequency of performing the highest risk tasks, as well as certain other risk factors affecting physical workload, were related to the frequency of musculoskeletal discomfort. Also investigated was whether the manual handling workload varied by job category. The cross-sectional study was conducted at a Veterans' Administration hospital in Tampa, Florida in August 2001 on 11 in-patient units with 113 participants, who completed musculoskeletal discomfort and demographic surveys at the end of a week of observation of their workloads. / ABSTRACT: Multiple regression analysis indicated that the number of high risk patient handling and movement tasks performed per hour, the number of patients cared for who weighed 212 pounds or more, and the interaction of the two were associated with the frequency of knee and wrist pain, but not with low back pain. The following variables were not associated with the frequency of musculoskeletal discomfort in any body part: patient census/able bodied staff ratio, patient classification rating, or number or use of patient handling and movement equipment. Manual handling workload did differ significantly among job categories, with registered nurses performing the fewest at- risk patient handling tasks and nursing aides the most. The seven-day prevalence rate of at least moderate discomfort in at least one body part was 62%. / ABSTRACT: Recommendations include instituting recorded patient assessments to standardize the type of equipment and the number of staff members needed for specific handling and movement activities, as well as improved staff training. Further research is needed on the following: biomechanical forces on the wrist and knee during patient handling and movement tasks; the effect of patient weight on the risk of patient handling and movement tasks; and psychosocial stressors in addition to the physical workload of nursing staff. / System requirements: World Wide Web browser and PDF reader. / Mode of access: World Wide Web.

Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--Stellenbosch University, 2008. / The medical radiation treatment facility at iThemba Labs requires a precise and robust patient positioning system. The current system makes use of an accurately calibrated multi-camera stereophotogrammetry (SPG) setup that is vulnerable to physical disruptions that invalidate system calibration. The task in this thesis is to design a vision system that can be used to verify the correct operation of the SPG system. We propose an unscented Kalman filter (UKF) based structure from motion (SFM) system for this purpose. Our SFM system does not rely on calibration information used by the SPG system and provides accurate reconstruction for verification purposes. The system is critically evaluated against a set of synthetic and real motion sequences.

Thesis (MScEng (Applied Mathematics))--University of Stellenbosch, 2006. / This thesis investigates the various components required for the development of a patient position verification system to replace the existing system used by the proton facilities of iThemba LABS1. The existing system is based on the visual comparison of a portal radiograph (PR) of the patient in the current treatment position and a digitally reconstructed radiograph (DRR) of the patient in the correct treatment position. This system is not only of limited accuracy, but labour intensive and time-consuming. Inaccuracies in patient position are detrimental to the effectiveness of proton therapy, and elongated treatment times add to patient trauma. A new system is needed that is accurate, fast, robust and automatic. Automatic verification is achieved by using image registration techniques to compare the PR and DRRs. The registration process finds a rigid body transformation which estimates the difference between the current position and the correct position by minimizing the measure which compares the two images. The image registration process therefore consists of four main components: the DRR, the PR, the measure for comparing the two images and the minimization method. The ray-tracing algorithm by Jacobs was implemented to generate the DRRs, with the option to use X-ray attenuation calibration curves and beam hardening correction curves to generate DRRs that approximate the PRs acquired with iThemba LABS’s digital portal radiographic system (DPRS) better. Investigations were performed mostly on simulated PRs generated from DRRs, but also on real PRs acquired with iThemba LABS’s DPRS. The use of the Correlation Coefficient (CC) and Mutual Information (MI) similarity measures to compare the two images was investigated. Similarity curves were constructed using simulated PRs to investigate how the various components of the registration process influence the performance. These included the use of the appropriate XACC and BHCC, the sizes of the DRRs and the PRs, the slice thickness of the CT data, the amount of noise contained by the PR and the focal spot size of the DPRS’s X-ray tube. It was found that the Mutual Information similarity measure used to compare 10242 pixel PRs with 2562 pixel DRRs interpolated to 10242 pixels performed the best. It was also found that the CT data with the smallest slice thickness available should be used. If only CT data with thick slices is available, the CT data should be interpolated to have thinner slices. Five minimization algorithms were implemented and investigated. It was found that the unit vector direction set minimization method can be used to register the simulated PRs robustly and very accurately in a respectable amount of time. Investigations with limited real PRs showed that the behaviour of the registration process is not significantly different than for simulated PRs.