TOPIC 425 - AUTOMATED MOTION EXTRACTION AND ANALYSIS TO QUANTIFY PATIENT PERFORMANCE STATUS

Karnofsky评分(1948)和东部合作组织ECOG PS(1982)是评估患者PS的标准，并被用作进入临床试验和开始或继续任何介入治疗的关键决定因素。Cansera已经演示了使用RGB-D摄像机的图像分析来量化PS作为癌症护理中的预测生物标记物。RGB-D摄像机捕捉到患者在诊所执行身体任务，并分析患者的运动以预测PS。第一阶段SBIR提案将解决以下技术挑战：1)创建一种从RGB-D相机获取和提取数据的可重复使用的方法；2)为开放获取图书馆制定RGB-D图像数据集的匿名化战略；以及3)为不同的用户群体确定要求和设计。该项目的成功完成将使一种可重复使用的匿名方法的商业应用能够使用RGB-D相机进行数据采集和图像捕获 衡量人的表现，提供量化的解决方案。

The Karnofsky score (1948) and the Eastern Cooperative Group ECOG PS (1982) are the standard for patient PS assessment and used as a key determinant for entry into a clinical trial and the initiation or continuation of any interventional therapy. Cansera has demonstrated using image analysis of footage from RGB-D cameras to quantify PS as a predictive biomarker in cancer care. RGB-D cameras captured patients performing a physical task in a clinic and patient movement is analyzed to predict PS. The phase I SBIR proposal will address the following technical challenges: 1) creating a reproducible method for data acquisition and extraction from RGB-D cameras; 2) developing a strategy for anonymizing RGB-D image dataset for an open access library; and 3) establishing requirements and designing for different user groups. The successful completion of the project will enable commercial application for a reproducible anonymized method for data acquisition and image capture using a RGB-D camera to objectively measure human performance providing a quantitative solution.