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

Karnofsky评分（1948）和Eastern Cooperative Group 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已经展示了使用RGB-D相机的图像分析来量化PS作为癌症治疗的预测性生物标志物。RGB-D相机捕捉患者在诊所中执行物理任务，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)创建一种可重复的方法，用于RGB-D相机的数据采集和提取；2)开发开放存取库RGB-D图像数据集匿名化策略；3)针对不同的用户群体建立需求并进行设计。该项目的成功完成将使使用RGB-D相机客观地进行数据采集和图像捕获的可重复匿名方法的商业应用成为可能

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.