Validation of an objective computerized-video Mobility Assessment Tool

点击翻译按钮获取中文摘要

Computer vision technologies have become widely employed in the biomedical domain. Such technology is preferred for efficiency and precision in many applications, especially for body detection and movement tracking. The objective of this project is to finalize development of the modified-Tinetti Mobility Assessment Tool (MAT) for assessment of mobility deterioration of injured subjects. This is a validation of the algorithms for our non-invasive, unique and purely objective computer vision video-tool. This tool was recently developed from a prototype to an operational product with assistance from a recent Engage grant for development of the computerization of the Modified Tinetti gate/balance test by Dr. Robert Allison at the York University Centre for Vision Research, Dept. of Electrical Engineering & Computer Science. In this phase of the project we will validate the developed product by comparing its performance with our own functional assessment tools in young adults who have suffered concussion. Validating the functionality of this device will allow PhD Associates to approach practitioners (legal and medical) with an easy, precise and low cost tool to estimate fall risk and incapacity from gait and balance (mobility) measurements. This work is important for the advancement in medical kinematics which will impact Canadian research in the field of rehabilitation, diagnosis, and function assessment. Another target market for the MAT is the personal injury law and the insurance industry, both of which would benefit from simple, computerized quick assessment of functional mobility resulting from an accident. This project is a partnership between York University and PhD Associates, the expected duration of the project is 6 months.