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HappierFeet-Disrupting the vicious cycle of healthcare decline in Diabetic Foot Ulceration through active prevention: The future of self-managed care

HappierFeet-Disrupting the vicious cycle of healthcare decline in Diabetic Foot Ulceration through active prevention: The future of self-managed care
HappierFeet-通过积极预防打破糖尿病足溃疡医疗保健下降的恶性循环:自我管理护理的未来
批准号:
EP/W00366X/1
负责人:
Andrew Weightman
金额:
$51.3万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

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中文摘要
翻译
糖尿病足溃疡(DFUs)是一种常见的慢性疾病,每年花费NHS 10亿英镑。高达25%的糖尿病患者在其一生中会发生DFU。愈合缓慢,40%的患者在12个月内再次溃疡。DFUs经常复发并导致截肢和/或死亡,5年死亡率为40%。dfu在社会和经济上处于不利地位的人群中更为常见。溃疡造成的身体和精神负担相当大:32%的人抑郁,这与死亡风险增加3倍有关。这类人的步态往往不适应,使足部超载,使运动痛苦/不安全,他们害怕运动。他们经常对未来感到绝望,因为目前还不可能预防dfu。其后果是运动减少、自我效能和情绪下降的恶性循环,这被认为会对患者参与DFUs预防行为的能力产生负面影响,并增加再溃疡的机会,但也有可能增加其他由缺乏身体活动/情绪低落影响的疾病,例如疼痛、心脏代谢紊乱和癌症。该项目建议建立和扩展当前用于检测糖尿病足溃疡的智能鞋垫技术,利用基于多个传感器的方法进行识别。一种集成了压力、温度、声学和传感器的智能鞋垫,可以测量人们走路的方式,从而识别出溃疡的早期迹象,以及何时运动合适/不合适。智能鞋垫会对这些输入做出反应,并通过嵌入式驱动器调整脚,从而调整人们走路的方式,以支持更好、更安全、更舒适的运动。智能鞋垫将通过智能手机提醒用户潜在的问题,使用户能够自我管理;鼓励用户检查足部并根据需要就医。虽然与云共享数据以促进社区自我管理并为临床决策提供信息超出了本项目的范围,但这项研究将为未来证明高度敏感信息的安全性和隐私性,以应对量子计算的进步奠定基础。该项目将寻求理解和克服技术适应性、可接受性和用户及其社交网络(朋友、家人等)采用的障碍。这款智能鞋垫可以打破恶性循环,提高自我效能,自我管理糖尿病足溃疡,并更积极,从而影响多种疾病,对身体活动的反应。
英文摘要
Diabetic foot ulcers (DFUs) are common, chronic and cost the NHS £1Billion annually. Up to 25% of patients with diabetes develop a DFU within their lifetime. Healing is slow and 40% of patients re-ulcerate within 12 months. DFUs frequently recur and lead to amputation and/or death, with a 40% mortality rate at 5 years. DFUs are more common in people who are socially and economically disadvantaged. The physical and emotional burden of ulceration is considerable: 32% are depressed and this is related to a 3-fold greater risk of mortality. Gait is often maladaptive in this group, overloading parts of the foot, making movement painful/unsafe, and they are scared of movement. They often feel hopeless about the future, as it's not currently possible to prevent DFUs. A consequence is a downward vicious cycle of reduced movement, self-efficacy and mood, which is thought to negatively impact patient ability to engage in preventative behaviours for DFUs and increase chances of re-ulceration, but also has significant potential to increase other disorders which are influenced by lack of physical activity/low mood, e.g. pain, cardio-metabolic disorders, and cancer. This project proposes to build and expand on current smart insole technologies for the detection of Diabetic Foot Ulcers, utilising a multiple sensor-based approach for their identification. A smart insole with integrated pressure, temperature, acoustic and sensors which measure how someone walks will identify early indicators of ulceration and when movement is appropriate/ inappropriate. The smart insole will respond to these inputs and adjust the foot, and hence the way someone walks, through embedded actuators, to support better, safe and comfortable movement. The smart insole will alert the user to potential problems, through a smartphone, enabling self-management; promoting users to check their foot and seek medical attention as required. Although data sharing with the cloud to facilitate community self-management and to inform clinical decision-making is beyond the scope of this project, this research will lay the foundations for future proofing the security and privacy of highly sensitive information against advancements in quantum computing. This project will seek to understand and overcome the barriers of technology adaptability, acceptability and adoption for users and their social networks (friends, family etc). This smart insole can break the vicious cycle by increasing self-efficacy to self-manage Diabetic Foot Ulcers and to be more active, thus impacting across multiple illnesses which respond to physical activity.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3390/fi14020067
发表时间: 2022-02
期刊: Future Internet
影响因子: 3.4
作者: [Madushi H. Pathmaperuma;Y. Rahulamathavan;Safak Dogan;A. Kondoz]
通讯作者: Madushi H. Pathmaperuma;Y. Rahulamathavan;Safak Dogan;A. Kondoz
DOI: 10.1111/dme.14795
发表时间: 2022-07
期刊: Diabetic medicine : a journal of the British Diabetic Association
影响因子: --
作者: []
通讯作者:
Accuracy, Feasibility, and acceptability of Mobile App-based Gait Assessment alongside perception at different speeds in primary care
基于移动应用程序的步态评估以及初级保健中不同速度感知的准确性、可行性和可接受性
DOI: --
发表时间: 2023
期刊:
影响因子: --
作者: [Maedeh Mansoubi]
通讯作者: Maedeh Mansoubi
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection.
对加密流量分类和未知数据检测的深度学习。
DOI: 10.3390/s22197643
发表时间: 2022-10-09
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者: [Pathmaperuma MH, Rahulamathavan Y, Dogan S, Kondoz AM]
通讯作者: Kondoz AM
How are candidate phylum JS1 bacteria adapted for life in the deep sub-seafloor biosphere?
  • 批准号:
    NE/J011177/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $49.78万
  • 财政年份:
    2012
  • 负责人:
    Andrew Weightman
  • 依托单位:
Crohn's Disease and Mycobacterium avium subsp paratuberculosis, a Public Health tragedy whose resolution is long overdue: quantifying human exposure
  • 批准号:
    NE/F01600X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $7.7万
  • 财政年份:
    2008
  • 负责人:
    Andrew Weightman
  • 依托单位:
海外基金