Health Monitoring Using Smart Meters

  • Research type

    Research Study

  • Full title

    Adaptive Health Monitoring Using Aggregated Energy Readings From Smart Meters

  • IRAS ID

    216063

  • Contact name

    Carl Chalmers

  • Contact email

    c.chalmers@ljmu.ac.uk

  • Sponsor organisation

    Mersey Care NHS Foundation Trust

  • Duration of Study in the UK

    1 years, 0 months, 1 days

  • Research summary

    This research study involves testing a new remote patient monitoring system for people with self-limiting conditions such as Dementia. The system requires no direct interaction from the patient. It enables patients to live more safely at home and maintain their independence for as long as possible.

    Our novel technology assesses an individual’s personal physical and mental-health by monitoring their electricity usage at home. This is achieved by processing data collected from smart meters, which captures detailed habits of an individual’s interactions with electrical devices. The technology identifies any anomalies in a person’s routine, which is the result of a health-related condition. For example, an Alzheimer’s patient leaving an oven on or person suffering with depression remaining awake at night. This is achieved by employing advanced data analytics, known as machine learning, to understand trends in electricity usage. The system can identify when an individual gets up, goes to bed, eats, their location within the home and a bad night’s sleep. Essentially, the technology creates a personalised profile of the user’s behaviour at home.

  • REC name

    North West - Haydock Research Ethics Committee

  • REC reference

    16/NW/0869

  • Date of REC Opinion

    27 Jan 2017

  • REC opinion

    Further Information Favourable Opinion