Gait analysis management and diagnosis in a prototype virtual reality environment

Alfalah, Salsabeel; Harrison, David; Charissis, Vassilis

Abstract

Current medical data derived from gait analysis and diagnosis of various musculoskeletal pathologies offer a plethora of text based and imaging data. The large volume and complexity of the particular data present a number of issues during the collection, storage, searching and visualisation process for gait analysis management and diagnosis. Adhering to above it is evident that a simplified, holistic and user-friendly system is required in order to improve the acquisition and comparison of medical data in a timely manner. Further consultation with health professionals suggested that the proposed prototype should entail an automated system that can extract, save and visualise the data from different sources, in order to enhance medical data visualisation, increase efficiency and thus improve quality of service and management. This work presents the development stages of a new prototype system for managing medical data for gait analysis, which additionally offer simulation capacity in a Virtual Reality environment in order to assist the medical practitioners towards a faster an better informed evaluation of each condition.

Citation

Alfalah, S., Harrison, D., & Charissis, V. (2013). Gait analysis management and diagnosis in a prototype virtual reality environment. In Virtual, Augmented and Mixed Reality: Systems and Applications (3-11). https://doi.org/10.1007/978-3-642-39420-1_1

• Conference Name: VAMR 2013
• Conference Location: Las Vegas, NV, USA
• Start Date: Jul 21, 2013
• End Date: Jul 26, 2013
• Publication Date: 2013
• Deposit Date: May 19, 2023
• Publisher: Springer
• Pages: 3-11
• Series Title: Lecture Notes in Computer Science
• Series Number: 8022
• Book Title: Virtual, Augmented and Mixed Reality: Systems and Applications
• ISBN: 978-3-642-39419-5
• DOI: https://doi.org/10.1007/978-3-642-39420-1_1
• Keywords: gait analysis; human computer interaction; virtual reality; musculoskeletal conditions; 3D visualisation