Advanced Gait Analysis: Integrating Data Processing for Superior Clinical Outcomes

Abdou, Amr (2024) Advanced Gait Analysis: Integrating Data Processing for Superior Clinical Outcomes. Bachelor's Thesis, Computing Science.

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Abstract

Although gait is the most essential form of human locomotion, diagnosing abnormalities within the walking cycle is a cumbersome, long, and obscure process. The diagnosis process renders many patients unable to receive the prompt care and attention needed for an improved quality of life. This project seeks to leverage recent developments in data processing techniques to develop a system that diagnoses gait abnormalities using the data provided from the 3 Dimensional Clinical Gait Assessment (3D CGA) workflow at the University Medical Center Groningen (UMCG) in a fast and highly accurate manner. The system will integrate into a data-processing pipeline that will be used for clinical assessment and decision-making, ultimately aiming to enhance patient care and treatment outcomes at the UMCG. The outcome includes increased diagnostic accuracy, reduced time for patient assessments, and an overall improvement in the efficiency of clinical workflows, leading to better patient outcomes and an enhanced quality of 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:	05 Sep 2024 14:30
Last Modified:	05 Sep 2024 14:30
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/34204

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