Technology development finalization -Detecting concussion related mobility loss in athletes using the mobility assessment tool (MAT)

技术开发定稿 - 使用活动能力评估工具 (MAT) 检测运动员中与脑震荡相关的活动能力丧失

• 批准号: 486525-2015
• 负责人: Sergio, Lauren
• 金额: $ 0.66万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585660
• 关键词: Technology; development; finalization; Detecting; concussion

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 Mobility Assessment Tool (MAT) for assessment of mobility deterioration following mild brain injury. This is a validation of the algorithms for our non-invasive, unique, and purely objective computer vision video-tool. This tool was recently advanced from an early laboratory-based beta stage (initial Engage grant with Dr. Robert Allison in the Dept. of Electrical Engineering & Computer Science) to one with upgraded hardware that accurately tracked humans (our previous Engage grant). The system has now gone from a prototype to a validated operational product able to perform a completely automated Modified Tinetti gate/balance test on adults. In this phase of the project we will finalize the algorithms of 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, in particular its ability to accurately discriminate healthy from clinically anomalous posture and gait, will allow PhD Associates to advance a patent application and approach investors for commercial development. PhD Associates will also be able to approach practitioners 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活动评估工具（MAT）的开发，用于评估轻度脑损伤后的活动恶化。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。该工具最近从早期的基于实验室的测试阶段（与部门的Robert Allison博士的初始参与资助）发展而来。电气工程与计算机科学），以一个升级的硬件，准确地跟踪人类（我们以前的参与赠款）。该系统现在已经从原型发展成为经过验证的可操作产品， 对成年人进行全自动的改良Tinetti门/平衡测试。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，最终确定所开发产品的算法。验证该设备的功能，特别是其准确区分健康与临床异常姿势和步态的能力，将使PhD Associates能够推进专利申请并接近商业开发的投资者。PhD Associates还将能够使用简单，精确和低成本的工具接近从业者，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。