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: University of Manchester
• 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
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW00366X%2F1
• 关键词: HappierFeet; Disrupting; vicious; cycle; healthcare

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.

糖尿病足溃疡（DFU）是常见的慢性疾病，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。DFU经常复发并导致截肢和/或死亡，5年死亡率为40%。DFU在社会和经济弱势群体中更为常见。溃疡的身体和情感负担是相当大的：32%的人抑郁，这与3倍的死亡风险有关。这群人的步态往往不适应，脚的某些部分过载，使运动疼痛/不安全，他们害怕运动。他们经常对未来感到绝望，因为目前无法防止DFU。其结果是减少运动、自我效能和情绪的向下恶性循环，这被认为会对患者参与DFU预防行为的能力产生负面影响，并增加再溃疡的机会，但也有可能增加受缺乏体力活动/情绪低落影响的其他疾病，例如疼痛、心脏代谢疾病和癌症。该项目建议建立和扩展目前的智能鞋垫技术，用于检测糖尿病足溃疡，利用基于多传感器的方法进行识别。智能鞋垫集成了压力，温度，声学和传感器，可以测量人们如何行走，将识别溃疡的早期指标以及何时运动是适当的/不适当的。智能鞋垫将对这些输入做出响应，并通过嵌入式执行器调整脚，从而调整人的行走方式，以支持更好，安全和舒适的运动。智能鞋垫将通过智能手机提醒用户潜在的问题，实现自我管理;促进用户检查他们的脚并根据需要寻求医疗护理。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该项目的范围，但这项研究将为未来验证高度敏感信息的安全性和隐私性奠定基础，以对抗量子计算的进步。该项目将力求了解和克服用户及其社交网络（朋友、家人等）在技术适应性、可接受性和采用方面的障碍。这种智能鞋垫可以通过提高自我效能来自我管理糖尿病足溃疡并变得更加活跃，从而打破恶性循环，从而影响对身体活动做出反应的多种疾病。

项目成果

CNN for User Activity Detection Using Encrypted In-App Mobile Data

• 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

Ageing well with diabetes: A workshop to co-design research recommendations for improving the diabetes care of older people.

• DOI: 10.1111/dme.14795
• 发表时间: 2022-07
• 期刊: Diabetic medicine : a journal of the British Diabetic Association

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

• 发表时间: 2023
• 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)
• 作者: Pathmaperuma MH;Rahulamathavan Y;Dogan S;Kondoz AM
• 通讯作者: Kondoz AM

The challenges of multi-disciplinary research in the design and adoption of self-managing technologies

多学科研究在设计和采用自我管理技术方面面临的挑战

• DOI: 10.4017/gt.2022.21.s.573.opp3
• 发表时间: 2022
• 期刊: Gerontechnology
• 作者: Eccles A