Engaging the Patient into the Virtual Care Loop: An E-Health Framework using Data and Knowledge-Driven Methods for Ambient Sensor-Based Health Activity Monitoring to Remotely Determine Patient's Health and Functional Status

让患者参与虚拟护理循环：电子健康框架使用数据和知识驱动的方法进行基于环境传感器的健康活动监测，以远程确定患者的健康和功能状态

• 批准号: RGPIN-2021-03094
• 负责人: Abidi, SyedSibteRaza
• 金额: $ 2.55万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=750255
• 关键词: Engaging; Patient; into; Virtual; Care

In Canada, there is a recognition of the need to have a healthcare system which provides at--home care, especially to the elderly, chronic and mental health patients. The recent covid-19 pandemic further emphasized the need and utility of virtual care programs that offer remote therapeutic consultations to patients in the safety of their homes. Our intent is to provide unobtrusive and privacy-preserving remote monitoring of seniors, chronic and mental health patients' living at home, to assist them self-manage their health, maintain their autonomy, lifestyle and comfort whilst living a healthy life at their homes. This research proposes a novel e--Health based virtual care platform that employs ambient intelligence to provide assistive healthcare by remotely monitoring a patient's health in a home setting. Ambient intelligence refers to smart environments that use environmental sensors to collect location and movement data of individuals to help them perform daily-life activities by providing guidance and reminders. We are proposing a novel virtual care approach based on the concept of Activity Recognition (AR)-i.e. monitoring the targeted individual's daily life activities to determine health and function. It has been noted that when health is affected, the ability to carry out routine daily-life activities is also affected, so by identifying variations in daily-life activities over time we will be able to detect decline in health and deliver timely assistive healthcare interventions. This research will pursue scientific investigations in remote sensing, knowledge-- and data--driven decision support and e--Health systems to develop innovative unobtrusive AR methods for remote monitoring of a patient's daily activities. The AR methods will be used to generate digital biomarkers to assess the ability of an individual to perform daily-life activities. For remote sensing, we will use contactless sensors to collect the patients' activity data. We will develop a novel hybrid AR solution, where knowledge--driven methods will be used to represent the patient's home environment and daily-life activity models, and data--driven methods to recognize the patients' daily-life activities. Based on the recognized activities, we will generate digital biomarkers to determine the patient's health status. The AR and health assessment methods will be implemented as an e-Health virtual care platform for healthcare providers to remotely monitor their patient's health status. This project's significance is an e-Health platform for virtual care, enabling seniors and patients with dementia, mental health and chronic conditions to safely live in their homes. This research is timely and relevant given the increase in elderly Canadians and in light of the loss of life due to COVID-19 in long-term care facilities. The project will develop novel AR methods to identify the activities of a specific person in a multi-person home and personalize activity models over time.

在加拿大，人们认识到有必要拥有一个提供在家护理的医疗系统，尤其是对老年人，慢性和心理健康患者的护理。最近的COVID-19大流行进一步强调了虚拟护理计划的需求和实用性，这些计划为患者提供了远程的治疗咨询。我们的目的是提供对老年人，慢性和心理健康患者在家中的远程远程监控，以帮助他们自我管理，保持自主权，生活方式和舒适，同时在家里过上健康的生活。这项研究提出了一个新型的基于电子健康的虚拟护理平台，该平台采用环境智能来通过远程监测家庭环境中的患者健康来提供辅助医疗保健。环境智能是指使用环境传感器收集个人的位置和移动数据的智能环境，以帮助他们通过提供指导和提醒来进行日常生活。我们根据活动识别概念（AR）-I.E提出了一种新颖的虚拟护理方法。监视目标个人的日常生活活动，以确定健康和功能。已经注意到，当健康受到影响时，进行常规日常生活活动的能力也会受到影响，因此，通过确定随着时间的推移日常生活活动的差异，我们将能够检测到健康状况下降并及时提供辅助医疗干预措施。 这项研究将在遥感，知识和数据驱动的决策支持和电子健康系统中进行科学研究，以开发创新的非诱因方法，以远程监测患者的日常活动。 AR方法将用于生成数字生物标志物，以评估个人进行日常生活活动的能力。对于遥感，我们将使用非接触式传感器收集患者的活动数据。我们将开发一种新型的混合AR解决方案，其中知识 - 驱动的方法将用于代表患者的家庭环境和日常生活活动模型以及数据驱动的方法，以识别患者的日常生活活动。根据公认的活动，我们将生成数字生物标志物以确定患者的健康状况。 AR和健康评估方法将作为一个电子卫生虚拟护理平台实施，用于医疗保健提供者，以远程监控患者的健康状况。该项目的意义是一个用于虚拟护理的电子卫生平台，使老年人和患有痴呆症，心理健康和慢性病的患者可以安全地生活在他们的家中。鉴于长期护理设施中的Covid-19造成的生命损失，这项研究是及时且相关的。该项目将开发新颖的AR方法，以确定特定人员在多人家庭中的活动，并随着时间的推移个性化活动模型。