课题基金 / 基金详情

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

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:
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
项目状态:
已结题
起止时间:
2014 至 --

项目摘要

项目成果

Feng Dong的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
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
期刊:
影响因子: --
作者: [Parvinzamir F]
通讯作者: Parvinzamir F
DOI: 10.5121/ijaia.2022.13301
发表时间: 2022-06
期刊: ArXiv
影响因子: --
作者: [H. Petkov;Colin Hanley;Feng Dong]
通讯作者: H. Petkov;Colin Hanley;Feng Dong
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]
通讯作者: Farzad Parvinzamir;Youbing Zhao;Zhikun Deng;Feng Dong
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
影响因子: --
作者: [Po Yang;Martin Hanneghan;J. Qi;Zhikun Deng;F. Dong;Dina Fan]
通讯作者: Po Yang;Martin Hanneghan;J. Qi;Zhikun Deng;F. Dong;Dina Fan
8
    Causal Counterfactual visualisation for human causal decision making - A case study in healthcare
    • 批准号:
      EP/X029778/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $77.36万
    • 财政年份:
      2023
    • 负责人:
      Feng Dong
    • 依托单位:
    Virtual Clinical Trial Emulation with Generative AI Models
    • 批准号:
      MR/X005925/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $14.28万
    • 财政年份:
      2022
    • 负责人:
      Feng Dong
    • 依托单位:
    Animating Humans from Static Images via an Entirely Image-Based Approach
    • 批准号:
      EP/F066473/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $10.2万
    • 财政年份:
      2008
    • 负责人:
      Feng Dong
    • 依托单位:
    Amplifiable Bi-directional Texture Functions for 3D High Fidelity Images
    • 批准号:
      EP/C006623/2
    • 项目类别:
      Research Grant
    • 资助金额:
      $0.0万
    • 财政年份:
      2007
    • 负责人:
      Feng Dong
    • 依托单位:
    海外基金