Intelligent health monitoring using smart meters

Carl Chalmers*, William Hurst, Michael Mackay, Paul Fergus, Dhiya Al-Jumeily, Bryony Kendall

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

3 Citations (Scopus)

Abstract

Worldwide, the number of people living with self-limiting conditions, is increasing. The resulting strain on healthcare resources means that providing 24-h monitoring for patients is a challenge. As this problem escalates, caring for an ageing population will become more demanding over the next decade, and the need for new, innovative and cost effective home monitoring technologies are now urgently required. In the UK, a national rollout of smart meters is underway. Energy suppliers are committed to the installation and configuration of over 50 million smart meters by 2020. Smart meters enable detailed monitoring of energy usage. The research presented in this paper provides an innovative approach, which addresses the limitations of current Ambient Assistive Living technologies. The approach demonstrates that the detection of both normal and abnormal patient behaviour is possible by correlating the detection of individual electrical appliances and mapping them to an individual’s Activities of Daily Living.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2018 Computing Conference
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer Verlag
Pages1104-1113
Number of pages10
ISBN (Print)9783030011734
DOIs
Publication statusPublished - 2 Nov 2018
Externally publishedYes
EventComputing Conference, 2018 - London, United Kingdom
Duration: 10 Jul 201812 Jul 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume858
ISSN (Print)2194-5357

Conference

ConferenceComputing Conference, 2018
CountryUnited Kingdom
CityLondon
Period10/07/1812/07/18

Keywords

  • Ambient assistive living
  • Cloud computing
  • Dementia
  • Load disaggregation
  • Machine learning
  • Smart meters

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