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Architecture and Implementation of a Gait Diagnosis System

Zivkovic, Nikola (2024) Architecture and Implementation of a Gait Diagnosis System. Bachelor's Thesis, Computing Science.

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Abstract

This thesis addresses the urgent need for an improved gait diagnosis system at the University Medical Center Groningen (UMCG), where the current system’s inefficiencies result in prolonged wait times and low patient throughput. The existing system’s lack of industry-standard design principles further hampers its effectiveness in diagnosing gait disorders promptly. This research aims to enhance the system’s architecture by integrating industry-standard design principles, efficient back-end technologies, and complex data processing techniques. Additionally, the project focuses on developing a user-friendly interface to facilitate seamless interaction for medical professionals. By automating and streamlining the diagnostic process, the new system aims to significantly reduce patient wait times while providing reliable and accurate diagnoses. The expected outcomes include substantial improvements in the system’s efficiency, reliability, and user experience, ultimately benefiting both patients and healthcare practitioners at UMCG. This research not only contributes to the technical advancement of gait diagnosis systems but also aims to enhance the overall quality of patient care.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Karastoyanova, D. and Medema, M.
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 30 Jul 2024 14:22
Last Modified: 30 Jul 2024 14:22
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/33729

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