Improving the study & diagnosis of Traumatic Brain Injuries - Development of the first biometric, helmet-fitted, eye-tracking camera array for real-time biometric tracking and concussion diagnosis

**愿景：**我们是一家创新的生物识别和生理传感器公司，为高风险和高压行业开发领先的生物识别监测系统。继我们的第一个生物识别解决方案（防火手套传感器）的成功之后，今年被国际汽联和F1采用，我们现在希望开发第一个生物识别，头盔，眼球追踪摄像头阵列，用于实时生物识别跟踪和脑震荡诊断。**需要：**每年有超过1000万起脑震荡事件；每年有450万例与运动有关，估计有37%未报告和未诊断（美国儿科学会），导致创伤性脑损伤（TBI）和二次冲击综合征（SIS），并导致长期认知疾病。脑震荡是一种临床诊断，可以是高度主观的，基于定性测试和开放的解释。像CT和MRI这样的尖端成像工具不能诊断脑震荡，但需要显示结构性脑损伤。此外，这些诊断只能在诊所或医院等稳定的环境中进行，问题是大多数脑震荡运动员没有得到诊断和/或得到治疗。**目的：**在剑桥大学阿登布鲁克斯医院目前正在进行的脑震荡眼动诊断研究的基础上，我们打算开发第一个改装到头盔上的生物识别、非侵入性相机阵列，用于跟踪眼球运动，以帮助脑震荡的实时诊断和研究。同样的摄像头阵列将来还能同时监测佩戴者的心率（HR）和血氧（SpO2）水平。**焦点：**该项目的重点是开发创新的相机阵列、计算机视觉算法和平台，以识别用户的脑震荡和心率迹象，并确保这些可以集成到合适的H&S设备上，以满足我们的目标市场——基于头盔的体育、军事和重型制造业。这项技术得到了国际汽联、领先的头盔制造商贝尔赛车头盔和舒伯特的支持，原型测试将与领先的F1车队一起完成。**结果**：在87亿英镑的全球市场中，这是一个价值2500万英镑（5英镑）的机会，该技术代表了头部损伤诊断的阶段性创新，例如-首次实现现场实时脑震荡诊断，实现更快，更准确的有效治疗-显着降低长期TBI， SIS和其他认知疾病的风险。

**VISION:** We are an innovative biometric and physiological sensor company that develops leading biometric monitoring systems for high-risk & high-pressure industries. Following on from the success of our first biometric solution (fireproof glove sensor), which was adopted by the FIA and F1 this year, we now wish to develop the first biometric, helmet-fitted, eye-tracking camera array for real-time biometric tracking and concussion diagnosis.**NEED:** There are an over 10 million incidents of concussion each year; 4.5 million annually sports-related, with an estimated 37% going unreported and undiagnosed (American Academy of Pediatrics) resulting in traumatic brain injury (TBI) and Second Impact Syndrome (SIS) and contributing to long-term cognitive diseases.Concussion is a clinical diagnosis and can be highly subjective, based upon qualitative testing and open to interpretation. Leading edge imaging tools like CT and MRI are not diagnostic for concussion but are required to show structural brain injury. Moreover, these diagnostics can only be established within a stable environment like a clinic or hospital, with the problem being that most concussed athletes do not get diagnosed and/or get treated with delays.**OBJECTIVES:** Building upon concussion diagnosis research through eye tracking currently underway at Addenbrooks Hospital, University of Cambridge, we intend to develop the first, biometric, non-invasive camera array retrofitted to helmets for tracking of eye movement in order to aid concussion diagnosis and studies in real-time. The same camera array will additionally be able to simultaneously monitor the heart rate (HR) of its wearers, and blood-oxygen (SpO2) levels in future.**FOCUS:** The project focuses on the development of the innovative camera array, computer vision algorithms and platform needed to identify signs of concussion and heart-rate in users and ensuring these can be integrated onto suitable H&S apparatus for our target markets -- helmet-based sports, military and heavy manufacturing. The technology is supported by the FIA, leading helmet manufacturers Bell Racing Helmets and Schuberth, and prototype testing will be completed with leading F1 teams.**OUTCOME**: A £25m opportunity (Y5) in a £8.7bn global market, the technology represents a step-change innovation in the diagnosis of head injuries such -- enabling for the first time, the onsite, real-time concussion diagnosis, enabling the quicker, more accurate implementation of effective treatments - significantly reducing the risk of long-term TBI, SIS and other cognitive-diseases.