SPHERE - A Sensor Platform for HEalthcare in a Residential Environment (IRC Next Steps)

SPHERE - 住宅环境中的医疗保健传感器平台（IRC 后续步骤）

• 批准号: EP/R005273/1
• 负责人: Ian Craddock
• 金额: $ 462.64万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR005273%2F1
• 关键词: SPHERE; Sensor; Platform; HEalthcare; Residential

The UK currently spends 70% of its entire health and social care budget on long term ("chronic") health conditions. These include diabetes, dementia, obesity, depression, COPD, arthritis, hypertension and asthma. We need to be better at:-- Understanding the cause of these illnesses-- Helping a person to avoid developing them-- Creating new treatments-- Helping the patient self-manage their conditionsAll these require working with a patient over months or years, outside of a traditional hospital environment. In a very real way, we need healthcare to go where the patient goes; the single place that most people spend most of their time is their home. Consequently, SPHERE project is seeking to develop non-intrusive home-based technologies for measuring health related behaviours at home over long periods of time.The requirements for these technologies are:-- They should require little or no action from the patient, since our daily lives are busy; being ill is distressing and time-consuming; and when the benefit may take months or years to achieve, there is often not much day to day motivation to be bothered with measurements or devices.-- They should work reliably in the home; a home is not a hospital or a laboratory - it is smaller, full of furniture, pets and people, often not brightly-lit and often challenging to get wireless network coverage everywhere. This poses lots of problems for researchers.-- They should be acceptable; bringing healthcare home with us doesn't mean we want to turn our homes into hospital and it definitely doesn't mean we want people spying on us!Since 2013 this has been the SPHERE vision and we have worked with scientists, doctors, engineers and more than 200 members of the public to achieve the project's initial goal of creating a cheap sensor system that can be installed in a home. More than 30 people have had the experience of living with the sensors over periods from days to months and, by the end 2017 we expect more than 200 people will have had SPHERE sensors in their own home, in many cases for months.Although the first-generation system was only completed in late 2016 and at the time of writing is still under test in the first "pilot" homes, the system is already moving into real patient applications - we are applying for ethical permission from the NHS to use SPHERE for patients recovering from surgery. Later in 2017 we will be applying for ethical permission to use SPHERE with a group of dementia patients.The initial testing of the sensor system has gone well but, especially as we start to think about large scale use of the SPHERE system across potentially hundreds or thousands of people, the team have learnt a lot from the early pilots and have some priorities for significant improvements:1. The SPHERE video system needs to be better at evaluating the quality of someone's movement, such as getting out of a chair, even when the view of the person is blocked by items of furniture. Evaluating quality of movement is important in physical and mental health conditions.2. The SPHERE wristband lasts for over a month on a single charge, however we want to remove as far as possible the need to charge it at all, because the more ill someone is, the less likely they are to do this.3. Digital data gathered from sensors needs to be turned into understanding for doctors; this is especially difficult in a home environment because every home and every household is different. These are major research issues and will be the focus of the technology parts of the SPHERE programme, while the clinical parts move forward with patient populations.The NHS itself has recently said: "if the UK fails to get serious about prevention then recent progress in healthy life expectancies will stall, health inequalities will widen, and our ability to fund beneficial new treatments will be crowded-out by the need to spend billions of pounds on wholly avoidable illness."

英国目前将整个卫生和社会保健预算的70%用于长期(“慢性”)健康状况。这些疾病包括糖尿病、痴呆症、肥胖症、抑郁症、COPD、关节炎、高血压和哮喘。我们需要在以下方面做得更好：--了解这些疾病的原因--帮助人们避免患上这些疾病--创造新的治疗方法--帮助患者自我管理他们的病情--所有这些都需要在传统的医院环境之外，与患者一起工作数月或数年。以一种非常真实的方式，我们需要医疗保健去病人去的地方；大多数人花费大部分时间的唯一地方就是他们的家。因此，SPERE项目正在寻求开发非侵入性的基于家庭的技术，用于长时间测量家庭中与健康相关的行为。对这些技术的要求是：--它们应该很少或根本不需要患者采取行动，因为我们的日常生活很忙；生病是令人痛苦和耗时的；当好处可能需要几个月或几年才能实现时，通常没有太多的日常动力来困扰测量或设备。-它们应该在家里可靠地工作；家庭不是医院或实验室--它更小，到处都是家具、宠物和人，照明通常不是很明亮，而且往往很难覆盖所有地方的无线网络。这给研究人员带来了很多问题。--他们应该是可以接受的；把医疗保健带回家并不意味着我们想把我们的家变成医院，也绝对不意味着我们想要人们监视我们！自2013年以来，这一直是SPHERE愿景，我们已经与科学家、医生、工程师和200多名公众合作，以实现该项目的最初目标，即创造一种可以安装在家庭中的廉价传感器系统。已经有30多人体验过使用传感器的经历，从几天到几个月不等，到2017年底，我们预计将有超过200人在自己的家里使用球形传感器，其中许多人会在几个月内使用。虽然第一代系统在2016年底才完成，在撰写本文时，第一代系统仍在第一批“试点”家庭进行测试，但该系统已经进入了真正的患者应用--我们正在申请国民健康保险制度的道德许可，允许患者从手术中恢复。2017年晚些时候，我们将申请对一组痴呆症患者使用SPHERE。传感器系统的初步测试进展顺利，但特别是当我们开始考虑在数百或数千人中大规模使用SPHERE系统时，团队从早期的试点中学到了很多东西，并有一些重大改进的优先事项：1.SPERE视频系统需要更好地评估某人的运动质量，比如从椅子上站起来，即使当人的视线被家具挡住时也是如此。评估运动质量对身心健康状况很重要。球形腕带一次充电可以使用一个月以上，但是我们希望尽可能地完全消除充电的需要，因为一个人病得越重，他们就越不可能这样做。从传感器收集的数字数据需要转化为医生的理解；这在家庭环境中尤其困难，因为每个家庭和每个家庭都是不同的。这些都是主要的研究问题，将成为SPERE计划技术部分的重点，同时临床部分也将随着患者人数的增加而向前发展。NHS自己最近表示：“如果英国不认真对待预防，那么最近在健康预期寿命方面的进展将停滞不前，健康不平等将扩大，我们资助有益的新疗法的能力将被挤出--因为需要花费数十亿英镑在完全可以避免的疾病上。”

项目成果

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field

利用 3D 离散小波变换和马尔可夫随机场进行偏振 SAR 图像语义分割

• DOI: 10.1109/tip.2020.2992177
• 发表时间: 2020-01-01
• 期刊: IEEE TRANSACTIONS ON IMAGE PROCESSING
• 影响因子: 10.6
• 作者: Bi, Haixia;Xu, Lin;Xu, Zongben
• 通讯作者: Xu, Zongben

An active semi-supervised deep learning model for human activity recognition

• DOI: 10.1007/s12652-022-03768-2
• 发表时间: 2022-03
• 期刊: Journal of Ambient Intelligence and Humanized Computing
• 作者: Haixia Bi;Miquel Perello-Nieto;Raúl Santos-Rodríguez;Peter A. Flach;I. Craddock

Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements

通过类对比反事实陈述对机器学习预测进行会话解释

• DOI: 10.24963/ijcai.2018/836
• 发表时间: 2018
• 作者: Sokol K

User involvement in digital health: Working together to design smart home health technology.

• DOI: 10.1111/hex.12831
• 发表时间: 2019-03
• 期刊: Health expectations : an international journal of public participation in health care and health policy
• 作者: Burrows A;Meller B;Craddock I;Hyland F;Gooberman-Hill R
• 通讯作者: Gooberman-Hill R

Designing Visual Cards for Digital Mental Health Research with Ethnic Minorities

为少数民族数字心理健康研究设计视觉卡

• DOI: 10.1145/3461778.3462085
• 发表时间: 2021
• 作者: Ayobi A