Modeling Cardiovascular Patient Pathways in an Accident and Emergency Department from a System Dynamic Perspective Using a Patient Oriented Modeling Approach

This thesis provides a detailed overview of a system dynamics model that focuses on the accident and emergency department and the clinical pathways of cardiovascular patients at Haukeland University hospital. A patient-oriented approach was chosen and sub-models representing patient attributes and accident and emergency resources were developed based on this approach. The simulation model illustrates accident and emergency processes and patient attributes in a disaggregated system. In addition to System Dynamics, other modeling concepts facilitated the modeling process. This included object-based and discrete event modeling concepts where object-based modeling concepts were used to create interactive objects, and stock and flow structures were constructed to be discrete in time and space. As such, the model is considered a hybrid model. The model serves as a network of resources aiding the patient in the most appropriate direction in order to place him or her in the right location at the right time. The patient-oriented modeling approach has proven useful, as it has enabled a systematic observation on the emergence of various cardiovascular pathways based on patient attributes incorporated in the model. The use of objects to represent attributes and AED processes make this model a unique take on System Dynamics. The attributes arising from the model were built on predetermined values in the form of graphical functions, enabling scenario testing to capture the resources the patient claimed in the AED. To this end, a successful simulation model has been created that permits a detailed observation of clinical pathways for cardiovascular patients.Masteroppgave i systemdynamikkGEO-SD350MASV-SYSD

LPcomS: Towards a Low Power Wireless Smart-Shoe System for Gait Analysis in People with Disabilities

Gait analysis using smart sensor technology is an important medical diagnostic process and has many applications in rehabilitation, therapy and exercise training. In this thesis, we present a low power wireless smart-shoe system (LPcomS) to analyze different functional postures and characteristics of gait while walking. We have designed and implemented a smart-shoe with a Bluetooth communication module to unobtrusively collect data using smartphone in any environment. With the design of a shoe insole equipped with four pressure sensors, the foot pressure is been collected, and those data are used to obtain accurate gait pattern of a patient. With our proposed portable sensing system and effective low power communication algorithm, the smart-shoe system enables detailed gait analysis. Experimentation and verification is conducted on multiple subjects with different gait including free gait. The sensor outputs, with gait analysis acquired from the experiment, are presented in this thesis

Fostering Resilient Aging with a Self-efficacy and Independence Enabling Robot (FRASIER)

With the percentage of the elderly population rapidly increasing as the Baby Boomer generation reaches retirement, the demand for assistive care will soon override the supply of caregivers available. Additionally, as most individuals age, the number of age-related limitations preventing them from completing everyday tasks independently may increase. Through FRASIER (Fostering Resilient Aging with a Self-efficacy and Independence Enabling Robot), the project team developed an assistive robot with a goal of providing a solution to this challenge

La Salle University Graduate Catalog 2003-2004

Issued for La Salle University Graduate Programs 2003-2004https://digitalcommons.lasalle.edu/course_catalogs/1177/thumbnail.jp