Tracking fatigue and activity in real-time
Tracking fatigue and activity in real-time
批准号:
10043260
负责人:
金额:
$5.52万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
在英国,据估计,每4个成年人中就有1人患有长期疾病。每增加一种长期条件,严重疲劳的风险就会增加。这相当于英国有超过50万人生活在严重的疲劳中,这对心理和身体健康都产生了负面影响,并限制了人们的社交、身体和工作相关活动。更好的疲劳管理将使人们能够重新参与体力活动和社会活动,这对长期健康、幸福和生活质量至关重要。疲劳跟踪应用程序帮助患有脑损伤或长期疾病的人跟踪他们一天中的疲劳,以更好地了解触发或缓解他们疲劳的因素。通过平衡他们的疲劳和日常活动,该应用程序在他们重新参与身体和社会活动时增强了他们的心理健康。该应用程序提供数字结果,以更有效地评估疲劳干预措施,并提高卫生资源的使用效率。该应用程序简化了用户数据输入,同时数据为研究创伤性脑损伤及其治疗/管理的学者提供了有用的资源。该应用程序可以很容易地进行调整,以影响其他领域的研究和生活方式疾病的日常管理,如心脏病、2型糖尿病和肥胖。作为一种研究工具,长期的自我监测使研究人员能够在密集的个人数据基础上开发疲劳概况,但在群体层面进行组合。这款应用提供了一种管理疲劳的个性化方法,并为开发更有效、个性化的干预措施奠定了基础。这款应用使用Fitbit/Garmin等流行可穿戴设备的数据和积分驱动的奖励系统来激励用户增加体力活动,提供实时健康数据监测,以便根据患者数据调整锻炼和康复活动。根据患者数据,可以设定个人目标,如“每天锻炼20分钟”、“每天步行2公里”。目标显示在患者的手机或基于网络的平台上。该应用程序使用推送通知来推动用户实时完成对他们的感觉和正在做的事情的调查,同时被动地收集他们的睡眠和体力活动数据。用户可以在应用程序上的个性化仪表板中查看他们每天、每周和过去一个月的体力活动、调查参与度、收集的点数和奖励。输出数据以多种可访问的格式提供。
英文摘要
In the UK an estimated 1 in 4 adults live with long term conditions. The risk of severe fatigue increases with each additional long term condition. This equates to over 500,000 people in the UK living with severe fatigue that negatively affects both mental and physical well-being and limits people's social, physical and work related activities.Better fatigue management would enable people to re-engage with physical activity and social activities, essential for long-term health, well-being and quality of life. The fatigue tracking app helps people with brain injury or long-term conditions track their fatigue across the day, to better understand the factors that trigger or alleviate their fatigue. By balancing their fatigue with their everyday activities the app enhances their mental well-being as they re-engage with physical and social activities.The app provides digital outcomes to evaluate fatigue interventions more effectively and increase efficiency in use of health resources. The app simplifies user data input while the data provides a useful resource for academics researching traumatic brain injury and its treatment/ management.The app can be easily adapted to have an impact on other areas of research and the day-to-day management of lifestyle diseases such as heart disease, type 2 diabetes and obesity.As a research tool, long-term self-monitoring enables researchers to develop fatigue profiles built on intensive individual data but combined at a group level. The app delivers a personalised approach to managing fatigue and forms the basis of developing more effective, personalised interventions.The app uses data from popular wearables such as Fitbit/ Garmin and a points driven rewards system to motivate users to increase their physical activity, provide real-time health data monitoring which allows for adapting exercises and rehabilitation activities based on patient data.Based on patient data, individual goals can be set such as "be active for 20 minutes per day", "walk 2km per day", etc. Goals are displayed on the patient's phone or on a web based platform.The app uses push notifications to nudge users to complete a survey of how they are feeling and what they are doing in real-time whilst passively collecting data about their sleep, and physical activity. Users receive a daily summary of their fatigue and activity.Users can view their daily, weekly and past month physical activity, survey engagement, points collected and rewards in personalised dashboards on the app.Exported data is provided in a number of accessible formats.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金