MyLifeHub: An interoperability hub for aggregating lifelogging data from heterogeneous sensors and its applications in ophthalmic care

MyLifeHub：一个互操作性中心，用于聚合来自异构传感器的生活记录数据及其在眼科护理中的应用

• 批准号: EP/L023830/1
• 负责人: Feng Dong
• 金额: $ 25.05万
• 依托单位: University of Bedfordshire
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL023830%2F1
• 关键词: MyLifeHub; interoperability; hub; aggregating; lifelogging

Visual impairment is one of the most feared forms of medical disability, which imposes a great social and economic burden on our society. In the UK, the number of visually impaired people is almost 2 million, with total annual costs estimated over £13,000 million. Notably, age-related increase of visual impairment has been well-documented and is set to be on constant rise owing to the growing ageing population nowadays. Visual impairment has significant impact on quality of life (QoL), as reduced visual acuity seriously affect patients' daily and social activities, with substantial increase of risk of mortality, fracture and falls, depression and other emotional distress. A variety of responsive instruments for quantifying functional impairment related to vision have been developed. Also, there are well-recognised generic instruments for the assessment of QoL in general health terms. These instruments contain questionnaires referring to a broad range of physical, social and psychological aspects, offering the basis for establishing the QoL profiles of the individuals under concern.Any changes in the QoL profile, for instance, the increase or drop of the level of physical and social activities before and after an eye surgery, can be used as important indicators for the outcome of the treatment. However, QoL assessment through written questionnaires has several significant drawbacks. Many answers often rely on participants' memory over a long period of time; people may read differently into the questions with their own interpretations; often there is no way of validating the truthfulness of many responses. These limitations raise serious questions on the reliability and validity of the measurements. Remarkably, the rapid advance of the Internet of Things (IoT) technology grants us opportunities to build QoL profiles of individuals with increased reliability and validity by monitoring their lifelogging data captured by a variety of IoT assets (namely objects, sensors, mobile apps, web-objects, etc.) with constant connectivity and interaction in a pervasive network. MyLifeHub is such an attempt with focus on the interoperability of the IoT assets, aiming at a common, interoperable and internet-based environment for long-term lifestyle information for individuals. The system will keep users well informed about their daily activities, diet, sleep, mood, blood pressure, pulse, etc., enhancing self-awareness in health and encouraging positive attitudes towards lifestyles. Data sharing among different users will also be enabled to allow for experience exchange and to build healthcare social-networks among users. Especially, MyLifeHub will feature new techniques enabling simultaneously and long-term quantifying the functional impairment related to vision underpinned with smart glasses (e.g. Google-Glass), which provide wearable sensors to connect with the environment through RFID, infrared, Bluetooth or QR code, allowing for a constant monitoring of the behaviours of people's vision. MyLifeHub will be utilized as a platform to assess the impact of visual impairment on the QoL of ophthalmic patients both in general health terms and in vision specific terms. The research will be conducted "in the wild" through direct exposure to potential beneficiaries. Our clinical collaborator, Moorfields Eye Hospital (MEH), is the largest eye hospital in the UK and earns a reputation worldwide. The outcome of MyLifeHub will be evaluated by the end users (namely MEH and its patients), allowing for the assessment and forecast of the transformational impact of the IoT technologies in real world terms.

视力障碍是最令人恐惧的医学残疾形式之一，给我们的社会带来了巨大的社会和经济负担。在英国，视力受损的人数近200万，每年的总成本估计超过130亿英镑。值得注意的是，与年龄相关的视力障碍增加已有充分的记录，并且由于当今人口老龄化的不断增长，这种情况将不断增加。视力损害对生活质量（QoL）有显著影响，因为视力下降严重影响患者的日常和社会活动，并显著增加死亡、骨折和福尔斯、抑郁和其他情绪困扰的风险。已经开发了多种用于量化与视觉相关的功能障碍的响应工具。此外，还有公认的通用工具用于评估一般健康方面的生活质量。这些工具载有涉及身体、社会及心理各方面的问卷，为确立有关人士的生活质素提供基础，而生活质素的任何改变，例如眼科手术前后身体及社会活动水平的增减，均可作为评估治疗结果的重要指标。然而，通过书面问卷进行生活质量评估有几个明显的缺点。许多答案往往依赖于参与者长时间的记忆;人们可能会对问题有不同的解读;通常没有办法验证许多回答的真实性。这些局限性对测量的可靠性和有效性提出了严重的问题。值得注意的是，物联网（IoT）技术的快速发展使我们有机会通过监控各种物联网资产（即对象，传感器，移动的应用程序，Web对象等）捕获的生活记录数据来建立具有更高可靠性和有效性的个人生活质量档案。在一个无处不在的网络中不断连接和交互。MyLifeHub就是这样一种尝试，专注于物联网资产的互操作性，旨在为个人的长期生活方式信息提供一个共同的，可互操作的和基于互联网的环境。该系统将使用户充分了解他们的日常活动，饮食，睡眠，情绪，血压，脉搏等，提高自我保健意识，鼓励对生活方式采取积极态度。不同用户之间的数据共享也将被启用，以允许经验交流，并在用户之间建立医疗保健社交网络。特别是，MyLifeHub将采用新技术，能够同时和长期量化与智能眼镜（例如Google-Glass）支持的视觉相关的功能障碍，该智能眼镜提供可穿戴传感器，通过RFID，红外线，蓝牙或QR码与环境连接，从而持续监测人们的视觉行为。MyLifeHub将作为一个平台，评估视力损害对眼科患者一般健康状况和视力特定状况的QoL的影响。这项研究将通过直接接触潜在的受益者“在野外”进行。我们的临床合作伙伴Moorfields眼科医院（MEH）是英国最大的眼科医院，在全球享有盛誉。MyLifeHub的结果将由最终用户（即MEH及其患者）进行评估，以便评估和预测物联网技术在真实的世界中的变革影响。

项目成果

MyHealthAvatar: A Case Study of Web-Based Interactive Visual Analytics of Lifestyle Data

MyHealthAvatar：基于网络的生活方式数据交互式可视化分析案例研究

• DOI: 10.1109/cit/iucc/dasc/picom.2015.345
• 发表时间: 2015
• 作者: Parvinzamir F

Causality Learning With Wasserstein Generative Adversarial Networks

• DOI: 10.5121/ijaia.2022.13301
• 发表时间: 2022-06
• 期刊: ArXiv
• 作者: H. Petkov;Colin Hanley;Feng Dong

MyEvents: A Personal Visual Analytics Approach for Mining Key Events and Knowledge Discovery in Support of Personal Reminiscence

• DOI: 10.1111/cgf.13596
• 发表时间: 2019-01
• 期刊: Computer Graphics Forum
• 影响因子: 2.5
• 作者: Farzad Parvinzamir;Youbing Zhao;Zhikun Deng;Feng Dong

Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment

• DOI: 10.1109/cit/iucc/dasc/picom.2015.341
• 发表时间: 2015-11
• 期刊: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
• 作者: Po Yang;Martin Hanneghan;J. Qi;Zhikun Deng;F. Dong;Dina Fan

Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection

• DOI: 10.1007/s00371-019-01721-7
• 发表时间: 2019-08
• 期刊: The Visual Computer
• 作者: Shaopeng Wu;Youbing Zhao;Farzad Parvinzamir;Nikolaos Ersotelos;Hui Wei;Feng Dong