Validation of an objective computerized-video Mobility Assessment Tool

客观计算机视频移动性评估工具的验证

• 批准号: 463719-2014
• 负责人: Sergio, Lauren
• 金额: $ 1.59万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=558572
• 关键词: Validation; objective; computerized; video; Mobility

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.

计算机视觉技术已广泛应用于生物医学领域。这种技术在许多应用中的效率和精度方面是优选的，特别是对于身体检测和运动跟踪。本项目的目标是完成改进的Tinetti移动性评估工具（MAT）的开发，用于评估受伤受试者的移动性恶化。 这是对我们的非侵入性，独特和纯粹客观的计算机视觉视频工具的算法的验证。该工具最近从原型开发为可操作的产品，并得到了最近Engage赠款的帮助，用于约克大学视觉研究中心的Robert Allison博士开发的改良Tinetti门/平衡测试的计算机化。电气工程与计算机科学在该项目的这一阶段，我们将通过将其性能与我们自己的功能评估工具在遭受脑震荡的年轻人中进行比较来验证所开发的产品。验证该设备的功能将允许PhD Associates使用简单、精确和低成本的工具接近从业人员（法律的和医疗），以通过步态和平衡（移动性）测量来估计跌倒风险和失能。这项工作对于医学运动学的进步非常重要，这将影响加拿大在康复，诊断和功能评估领域的研究。MAT的另一个目标市场是人身伤害法和保险业，这两个行业都将受益于对事故造成的功能移动性的简单、计算机化的快速评估。该项目是约克大学和博士生协会之间的合作伙伴关系，该项目的预期持续时间为6个月。