Person checking smart watch at table

Mobile Health

The NIHR Maudsley BRC Mobile health research theme is utilising wearable devices and smartphone technology to enable sophisticated, comprehensive and continuous clinical diagnostics, by providing real-time data on patients’ lived experience.

Data from personal devices can give a full picture of a person’s condition at a level of detail which was previously impossible. This offers the potential to detect changes in behaviour, sleep, or mood before the individual themselves is aware of it. This could help them to predict – or even avoid – a relapse.

The NIHR Maudsley BRC, through the Mobile Health theme, is part of RADAR-CNS (Remote Assessment of Disease and Relapse – Central Nervous System), a 5-year international research project examining the potential of wearable devices and smartphone technology to monitor and treat multiple sclerosis (MS), epilepsy and depression.

RADAR-CNS is one of the largest remote health measurement studies in Europe, and will recruit around 1000 individuals with brain disorders. Led jointly by King’s College London and Janssen Pharmaceutica NV, RADAR-CNS brings together some of the leading clinicians, researchers, device engineers, computer scientists, and data analysts from 24 organisations across Europe and the USA.

Theme lead: Professor Richard Dobson

Major grants:

  • European Commision: RADAR-AD: Remote Assessment of Disease and Relapse – Alzheimer’s Disease
  • European Commision: AIMS-2-TRIALS: Autism Innovative Medicine Studies – 2 – Trials
  • Pyschiatry Research Trust: The clinical application of remote monitoring technology to optimize treatment effectiveness and tolerability in children with attention deficit hyperactivity disorder
  • Janssen Pharmaceutica NV: Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS)

Theme objectives:

  • Translate our mHealth infrastructure and methods to new areas including pain, diet and nutrition, dementia, and substance use, informing the mental/physical health interface.
    • - Development of generalised mHealth platform
    • - Translation to new areas and community establishment
  • Develop multimodal longitudinal modelling/analytics for streamed data with triggers for decision assistance
    • - Embedding within partner NHS Trust systems
    • - Standardisation of mHealth data
    • - Novel approaches for patient engagement