Enabling health, independence and wellbeing for psychiatric patients through personalised ambient monitoring (PAM)

通过个性化环境监测 (PAM) 实现精神病患者的健康、独立和福祉

• 批准号: EP/F005091/1
• 负责人: Christopher James
• 金额: $ 14.33万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF005091%2F1
• 关键词: Enabling; health; independence; wellbeing; psychiatric

One in ten of the UK population will suffer a disabling anxiety disorder at some stage in their life whilst 91 million working days are lost per year due to mental health problems and the cost to the country is 32 billion in lost productivity and treatment costs. In addition to this financial burden to the country as a whole there are of course the personal costs to individuals, their family and friends (www.mind.org.uk). Recently Rosie Winterton, the Minister of State for Health Services, announced the Government will help people with long-term conditions such as cancer, or mental health problems, to stay independent and take control of their illness by providing information with medication. PAM (personalised ambient monitoring) will take this even further by allowing patients to select off-the-shelf technology that will monitor their activity signatures ; measurements of behavioural patterns which indicate people's mental health state. PAM will use a set of multiple discreet sensors in a person's home, coupled to a computer system programmed to detect changes in activity signatures. These can then be used to issue automatic alerts to the patient, their family, or their doctor, thus providing the capability to avert debilitating episodes.This pilot study will investigate the feasibility of reducing the incidence of debilitating episodes. This will be achieved by longitudinal monitoring that will permit early detection of deteriorating health and prevent avoidable hospital admissions. This work will build on existing work in this area at the University of Southampton (ISVR and CORMSIS) (that includes an imminent proposal to EPSRC on similar related technology applied to rehabilitation monitoring). University of Nottingham input will extend current work in physiological monitoring in both the conventional and vocational health domains whilst their involvement in the EPSRC funded health technology assessment IMRC will provide a mechanism to potentially assess the project's true value. The University of Stirling already operates in this domain via MATCH and has a stable middleware platform, however at an early stage in this project we will assess the platform, and in particular we will liaise with the EPSRC EQUATOR project regarding use of middleware developed for used in a distributed health monitoring demonstrator.The investigators provide skills and experience across medical devices and sensors, medical signal processing, communications and software services, and Operational Research modelling. This mix is essential to the success of the project, and provides an interesting and distinct interdisciplinary grouping. The IDEAS sandpit has provided a unique opportunity to form such a positive relationship.

英国十分之一的人口将在其一生中的某个阶段遭受残疾焦虑症，而由于精神健康问题，每年9100万个工作日子损失，该国的成本损失了320亿个生产力和治疗费用。除了给整个国家的财务负担外，当然还有个人，家人和朋友的个人费用（www.mind.org.uk）。最近，卫生服务部长罗西·温特顿（Rosie Winterton）宣布，政府将帮助患有癌症或心理健康问题等长期疾病的人们保持独立，并通过提供药物提供信息来控制自己的疾病。 PAM（个性化的环境监控）将通过允许患者选择可以监视其活动签名的现成技术来进一步采取这种情况；表明人们心理健康状态的行为模式的测量。 PAM将在一个人的家中使用一组多个谨慎的传感器，并与已编程的计算机系统相结合以检测活动特征的变化。然后，这些可以用于向患者，家人或其医生发出自动警报，从而提供了避免衰减发作的能力。此试点研究将调查降低衰减发作的发生率的可行性。这将通过纵向监测来实现，该纵向监测将允许尽早发现健康状况恶化并防止可避免的住院入院。这项工作将基于南安普敦大学（ISVR和Cormsis）的现有工作（包括针对EPSRC的一项针对康复监测的相关技术的提案）。诺丁汉大学的输入将扩展当前在传统和职业健康领域的生理监测方面的工作，同时他们参与EPSRC资助的卫生技术评估IMRC将提供一种机制来评估项目的真实价值。斯特林大学已经通过比赛在这个领域中运作，并且具有稳定的中间件平台，但是在该项目的早期阶段，我们将评估平台，特别是我们将与EPSRC赤道项目有关，涉及用于分布式健康监控器中使用的中间件的使用。该研究人员提供的调查人员的研究人员提供了跨医疗启动和传感器，通信和软件处理和操作，并运营，以及运营和运营服务，以及操作，以及操作，以及操作，以及操作，以及操作，以及操作，以及运营和运营。这种组合对于项目的成功至关重要，并提供了一个有趣而独特的跨学科分组。 Sandpit的想法为建立如此积极的关系提供了独特的机会。

项目成果

4th European Conference of the International Federation for Medical and Biological Engineering

国际医学与生物工程联合会第四届欧洲会议

• DOI: 10.1007/978-3-540-89208-3_207
• 发表时间: 2009
• 作者: Amor J

Simulation modelling for bipolar disorder

双相情感障碍的模拟建模

• 发表时间: 2009
• 作者: Syed Mohiuddin

Monitoring changes in behaviour from multi-sensor systems.

• DOI: 10.1049/htl.2014.0089
• 发表时间: 2014-10
• 期刊: Healthcare technology letters
• 影响因子: 2.1
• 作者: Amor JD;James CJ
• 通讯作者: James CJ

A multi-state model to improve the design of an automated system to monitor the activity patterns of patients with bipolar disorder

一种多状态模型，用于改进自动化系统的设计，以监测双相情感障碍患者的活动模式

• DOI: 10.1057/jors.2012.57
• 发表时间: 2017
• 期刊: Journal of the Operational Research Society
• 影响因子: 3.6
• 作者: Mohiuddin S

Simulation modelling of bipolar disorder: the Personalised Ambient Monitoring (PAM) project

双相情感障碍的模拟建模：个性化环境监测 (PAM) 项目

• 发表时间: 2010
• 作者: Syed Mohiuddin