White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Understanding Health Changes Through the Analysis of Electricity Consumption Data

Salter, Jennifer (2015) Understanding Health Changes Through the Analysis of Electricity Consumption Data. PhD thesis, University of Sheffield.

[img]
Preview
Text
JSalter- Thesis- Understanding health changes through the analysis of electricity consumption data.pdf
Available under License Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales.

Download (27Mb) | Preview

Abstract

With improvements in living standards and innovations in medical care, life expectancy has increased. However, although people are living longer, particularly in developed countries, they are not necessarily healthier during the additional years of life, with a rising number of people with long-term physical and mental health conditions that require supported living, for example, within a care home or hospital environment. In response to the rising economic costs of managing long term conditions, successive governments have developed policies to reduce the use of institutional environments (e.g., care homes) and of unplanned hospital admissions, and are encouraging the development of systems which aim to monitor, support and manage people’s health in their own home. These developments have lead to increased research on using remotely monitored, sensor-based technologies to provide relatives, carers and health care professionals with timely data about the well-being of older people living independently, and so provide timely and appropriate support effectively, thus helping them remain in their own homes, especially when they have long-term health problems. The aim of the research described in this thesis was to investigate the use of an electricity monitor to recognise and monitor changes in resident’s daily activities. This was achieved using two phases; the first conducted a survey to gather information about which activities and features that carers and relatives would like to have access to, so as to be reassured about their relative’s health and well being. The second phase collected and analysed electricity consumption data from four households for a one-week period, to develop models to identify when specific activities had been undertaken, e.g., using the shower, using a kettle. This research concluded that the monitoring of general and some specific activities is important to the relatives and carers, although the best form of reassurance about their relative’s situation was felt to be human contact. Following the analysis of the electricity consumption data, it was concluded that while it is possible to recognise appliance usage from whole house electricity consumption data, the variability and lack of transferability between houses and appliances would mean that the large-scale use of this type of monitoring would require considerable further development.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Identification Number/EthosID: uk.bl.ethos.687233
Depositing User: Jennifer Salter
Date Deposited: 21 Jun 2016 14:58
Last Modified: 03 Oct 2016 13:12
URI: http://etheses.whiterose.ac.uk/id/eprint/13308

You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.

Actions (repository staff only: login required)