Genge, Kaitlin2023-08-022023-08-022023-07-31http://hdl.handle.net/10222/82753The purpose of this thesis was to explore the relationships between physical activity levels (in terms of step counts and sedentary behaviors) and patient-specific characteristics in a population of end-stage knee osteoarthritis patients awaiting knee arthroplasty through the development of custom data processing tools implemented in a clinical population study. Step counts were found to be significantly lower in individuals with a higher body mass index and those with lower self-reported physical activity levels. Time spent sedentary was found to be significantly higher in females, individuals with a higher body mass index, and those with lower self-reported physical activity levels. A visual tool was developed for the representation of temporal physical activity intensity in the clinical study population. The utility of the developed visual tool was explored through a series of three case studies on individuals from the clinical study population with similar summary physical activity metrics.enOsteoarthritisArthroplastyPhysical ActivityWearablesSensorsAlgorithm DevelopmentKnee