Development of a Raspberry Pi-based eHealth Platform for Elder Care

拟议的项目是申请人在西蒙弗雷泽大学（SFU）和Reva解决方案（“Reva”）在萨里，不列颠哥伦比亚省的实验室之间的一个新的合作项目。Reva是一家IT公司，为移动的和云应用开发内容管理解决方案-支持信息收集、管理和发布的流程和技术。2015年4月，该公司将其总部从温哥华市中心搬迁到位于萨里创新大道的新健康技术创新中心，以促进其内容管理技术向医疗物联网（IoT）的扩展。 为了帮助医院和老年护理机构管理老年人的健康，正在开发许多新的传感器，例如跌倒或失禁湿度传感器，目的是通过减少老年人的健康来提高运营效率、降低医疗成本并改善老年人的健康。可能导致健康相关问题的风险因素。这些便携式和可穿戴传感器设备允许对个体进行连续监测，以便预测可能导致诸如跌倒的急性事件的慢性病症的早期诊断。这些传感器的输出需要被收集、监控和解释，这是Engage项目的重点。具体来说，基于Raspberry Pi的平台的开发将被用作追求医疗物联网的原型，该物联网将提供数据收集中心，以管理来自现有可穿戴跌倒传感器和嵌入尿布中的尿失禁传感器的传感器输入。

The proposed project is a new collaborative venture between the applicant's lab at Simon Fraser University (SFU) and Reva Solutions ("Reva") in Surrey, British Columbia. Reva is an IT company that develops content management solutions - processes and technologies that support the collection, managing and publishing of information - for mobile and cloud applications. In April 2015, the company relocated its headquarters from downtown Vancouver to the new Health Tech Innovation Hub at Surrey's Innovation Boulevard to facilitate the expansion of its content management technologies to healthcare Internet of Things (IoT). In order to aid hospitals and senior care facilities in managing the health of seniors, many new sensors are being developed, such as fall or incontinence moisture sensors, with the aim of increasing operational efficiencies, reducing healthcare costs and improving the health of older adults by reducing risk factors that can result in health related problems. These portable and wearable sensor devices allow for the continuous monitoring of an individual in order to predict early diagnosis of a chronic condition that may lead to an acute event such as a fall. The outputs from these various sensors need to be collected and monitored and interpreted, which is the focus of this Engage project. Specifically, the development of a Raspberry Pi-based platform will be used as a prototype to pursue a healthcare IoT that will provide a data collection hub to manage sensor inputs from existing wearable fall sensors and proposed urinary incontinence sensors embedded in diapers.