Online Changepoint Methods for Improving Care of the Elderly.

Lead Research Organisation: Lancaster University
Department Name: Mathematics and Statistics

Abstract

The NHS is under great pressure from an ageing population. Due to great advancements in modern medicine and other factors, the NHS and other social care services must provide the necessary care to a growing population of elderly people. This PhD project is partnered with Howz. Howz is based on research that implies changes in daily routine can indicate potential health risks. Howz use data from sensors placed around the house and other low-cost sources such as smart meter data to detect these changes. Alerts are then sent to the household or immediate care facilitators, where permission has been granted, to check on their safety and well-being. To the NHS, early intervention such as this is likely to result in fewer ambulance call outs for elderly patients and fewer elderly requiring long hospital stays.

The objective of this PhD is to provide novel ways of automatically detecting changes in human behaviour using passive sensors. The first focus of the PhD will be in sensor-specific activity and considering changes in behaviour as an individual evolves over time.

In partnership with Intelesant.

Publications

10 25 50
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Gillam J (2023) Identifying irregular activity sequences: an application to passive household monitoring in Journal of the Royal Statistical Society Series C: Applied Statistics

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S513659/1 30/09/2018 29/09/2024
1949390 Studentship EP/S513659/1 30/09/2017 30/03/2022 Jessica Gillam