New AI and IoT Device to Detect UTI in Dementia Patients


Scientists from the Center for Vision, Speech and Signal Processing (CVSSP) at Surrey University have developed a new system using Internet of Things (IoT) devices such as vital body signal monitoring device and environmental and activity monitoring sensors. Scientists have also added Artificial Intelligence (AI) to allow clinicians and healthcare providers to remotely monitor patient’s health and get access to the data from these devices.

The device that is plugged into an AI uses a machine learning algorithms that uses a technique known as Non-negative Matrix Factorisation to identify hidden clues for possible Urinary Tract Infection (UTI).

Urinary Tract Infection is emerging as one of the most common reasons for hospitalization of people suffering from dementia. Nearly a quarter of beds in hospitals in the UK are occupied by people suffering from dementia, and UTI is one of the leading causes of their hospitalization, according to the Alzheimer’s Society. The demand for better care in the home is likely to increase for early detection of UTIs and to reduce the burden on hospitals.

As per the World Health Organization (WHO) estimation, by 2050, the number of dementia patients across the globe is set to triple. According to the Professor of Machine Intelligence at CVSSP, the team has developed a tool that identifies the risk of UTI to treat it at a very early stage. The team is confident that the algorithm developed will be useful for healthcare professionals to develop personalized and effective plans for patient’s treatment.

The experiment conducted was a part of Technology Integrated Health Management (TIHM) for dementia project which is led by Surrey and borders partnership with NHS Foundation Trust in partnership with the Surrey University and other industry collaborators. The research has been funded by NHS England the Office for Life Sciences. Moreover, the project is also the part of Test Beds Program by NHS.

TIMH for dementia study is a collaborative project that has brought academia, NHS, and industry together to provide support to people suffering from dementia at homes and for their carers, according to the Director of Innovation and Development at Surrey and Borders Partnership NHS Foundation Trust.

The aim of the researchers was to create IoT led system that also uses machine learning to alert clinicians of health problem that can be detected early resulting in early treatment. The system is likely to help dementia patients suffering from UTI and also reduce pressure on NHS.  

Robert Lewis

Robert graduated from Brandman University, where he got his bachelor’s degree in Business Administration. Born in Massachusetts, Robert’s family moved to Kentucky in 2005 where he spent his college life and worked as an insurance agent for four years. Now is the founder and team leader of the website.

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