Medical Design Research Group, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Product Innovation, ICON Clinical Research, Marlow, SL7 1YL, UK.
J Med Syst. 2018 Feb 5;42(3):53. doi: 10.1007/s10916-018-0905-x.
Applications utilising 3D Camera technologies for the measurement of health outcomes in the health and wellness sector continues to expand. The Intel® RealSense™ is one of the leading 3D depth sensing cameras currently available on the market and aligns itself for use in many applications, including robotics, automation, and medical systems. One of the most prominent areas is the production of interactive solutions for rehabilitation which includes gait analysis and facial tracking. Advancements in depth camera technology has resulted in a noticeable increase in the integration of these technologies into portable platforms, suggesting significant future potential for pervasive in-clinic and field based health assessment solutions. This paper reviews the Intel RealSense technology's technical capabilities and discusses its application to clinical research and includes examples where the Intel RealSense camera range has been used for the measurement of health outcomes. This review supports the use of the technology to develop robust, objective movement and mobility-based endpoints to enable accurate tracking of the effects of treatment interventions in clinical trials.
应用程序利用 3D 相机技术来测量健康和保健领域的健康结果的应用不断扩大。Intel® RealSense™ 是目前市场上领先的 3D 深度感应相机之一，可用于许多应用，包括机器人技术、自动化和医疗系统。其中最突出的领域之一是为康复制作交互式解决方案，包括步态分析和面部跟踪。深度相机技术的进步使得这些技术能够更明显地集成到便携式平台中，这表明在诊所和现场进行普及健康评估解决方案具有重大的未来潜力。本文回顾了 Intel RealSense 技术的技术能力，并讨论了其在临床研究中的应用，包括使用 Intel RealSense 相机系列来测量健康结果的示例。这篇综述支持使用该技术开发强大、客观的基于运动和移动性的终点，以实现临床试验中治疗干预效果的准确跟踪。
