Cogigame: Home VR telerehabilitation platform

CogiGames Home是一个VR远程康复平台，使中风幸存者能够在一个激励的、数据驱动的环境中锻炼，该环境由屡获殊荣的脑机接口技术提供支持。中风康复是一个漫长的，令人沮丧的，孤独的旅程，对NHS和英国经济的成本惊人。CogiGames旨在通过为中风幸存者创造个性化的多人游戏体验，将理疗师的专业知识和见解直接带入幸存者的家中，为几个垂直领域的问题提供解决方案。我们将使患者和理疗师能够利用数据的力量，同时让患者能够自我控制自己的康复以及他们想要的持续时间和强度。CogiGames是一个平台，允许中风幸存者使用运动和大脑活动来控制沉浸式游戏进行康复。它利用消费者沉浸式硬件和EEG传感器，以及我们设计的新型低成本安装系统，以允许在线播放。当用户玩游戏时，他们可以分享他们的运动练习记录，以便物理治疗师可以检查进度。CogiGames的远程康复通过脑机接口（BCI）得到增强，因此即使患者通过Cogitat的运动意图检测系统有更严重的运动限制，他们也可以参与其中。该解决方案提出了新的数据驱动的机会，以解决中风患者病情的变化和他们需要做的许多不同类型的康复锻炼。它通过支持独立于运动细节运行的游戏来实现这一点，同时允许记录关键性能指标，以便用户可以检查他们的进度，以获得自己的动力和专业人士的帮助。由此产生的数据将有助于指导新患者进行更有效的活动，并支持利用脑电波信号进行预测结果的进一步研究。在临床环境中，Cogigames系统将提供一种用于各种残疾的资源，通过将表现与以前的表现和同龄人进行比较来鼓励功能的改善，并通过会话期间对注意力的反馈来改善注意力和专注力。该系统将鼓励治疗师在面对面和远程输入的混合模型上工作，这反过来将允许更高剂量和更长时间的治疗。这些益处如果实现，能够对中风幸存者的恢复模式和长期残疾产生重大影响。

CogiGames Home is a VR telerehabilitation platform that enables stroke survivors to exercise in a motivating, data-driven environment powered by award-winning Brain Computer Interface technology. Stroke rehabilitation is a long, frustrating, and lonely journey with staggering costs to the NHS and the UK economy. CogiGames aims to provide a solution to several problem verticals by creating a personalised, multiplayer experience for stroke survivors, getting the expertise and insights of physiotherapists straight into survivors' homes. We will enable patients and physios to harness the power of data, while it gives patients the self-control for their own rehabilitation and the duration and intensity which they desire. CogiGames is a platform which allows stroke survivors to use movement and brain activity to control immersive games for rehabilitation. It leverages consumer immersive hardware and EEG sensors, with our design of a novel low-cost mounting system to allow online play. While users play they can share recordings of their movement exercises so that physiotherapists can check progress. CogiGames' tele-rehabilitation is enhanced with a brain-computer interface (BCI) so patients can participate even if they have more severe movement limitations through Cogitat's movement intent detection system. The solution sets out new data driven opportunities to address the variability in stroke patient conditions and the many different types of rehabilitation exercises they need to do. It does this by supporting games that run independently of movement specifics, while allowing the journaling of key performance measures so that a user can check their progress for their own motivation and for professionals helping them. The resulting data will help guide new patients toward activities that have been more effective, and support further research leveraging brain wave signals for predictive outcomes. In the clinical setting the Cogigames system will provide a resource that is engaging to use for a wide range of disability, will encourage improvement in function through comparison of performance with previous performance and against peers, and improvement in concentration and focus through feedback on attention during the session. The system will encourage therapists to work on hybrid models of face to face and remote input and this will in turn allow therapy to be accessed in higher doses and for longer periods. These benefits, if realised, are capable of making a substantial impact on recovery patterns and on long term disability in stroke survivors.