VISION-D v1

  • Research type

    Research Study

  • Full title

    VISION-D: Vital Sign comparison between Lifelight and standard of care - Development

  • IRAS ID

    242581

  • Contact name

    Laurence Pearce

  • Contact email

    laurence@xim.ai

  • Sponsor organisation

    Xim Ltd.

  • Duration of Study in the UK

    1 years, 0 months, 0 days

  • Research summary

    Vital signs such as heart rate, blood pressure, breathing rate and oxygen levels currently need several pieces of equipment and trained staff in order to be measured properly. The LifeLight app measures the same vital signs using a camera in a phone, tablet, laptop or smart TV. By using very small changes in the colour of your skin, LifeLight's AI system can calculate these values without any extra equipment or training, and without contact.

    The aim of this research study is to improve the accuracy of the LifeLight system with a view to a subsequent Validation study to prove the level of accuracy. We will recruit patients, staff and visitors, both with and without medical problems, and take vital sign measurements twice with normal equipment and while recording video data at the same time. This will allow the AI which develops the LifeLight algorithm to make it more accurate, prior to a subsequent study which will validate the results.

  • REC name

    North of Scotland Research Ethics Committee 1

  • REC reference

    18/NS/0047

  • Date of REC Opinion

    27 Apr 2018

  • REC opinion

    Favourable Opinion