DPUK Sensing Platform Matt Machin m Health Applications

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DPUK Sensing Platform Matt Machin m. Health Applications Manager Health e. Research Centre University

DPUK Sensing Platform Matt Machin m. Health Applications Manager Health e. Research Centre University of Manchester

m. Health Team Overview • We apply mobile technologies to health research • Work

m. Health Team Overview • We apply mobile technologies to health research • Work as integrated part of the research team • Have experience of developing smartphone apps, web-based interfaces (e. g. for clinicians); integrating with wearable devices, medical devices and EHRs

Main Projects • Clin. Touch – Platform technology for longitudinal data collection. Initially for

Main Projects • Clin. Touch – Platform technology for longitudinal data collection. Initially for Severe Mental Illness (SMI) then applied to RA • CFHealth. Hub – Supporting adherence to treatment in adults with CF • Actissist – CBT for SMI patients • DPUK – Sensing platform for dementia

Involvement in DPUK • Were invited into the Informatics theme of the DPUK project

Involvement in DPUK • Were invited into the Informatics theme of the DPUK project • 2 nd wave of MRC funding focused on Clinical Research Infrastructure • John Ainsworth led a theme on “high resolution data from everyday life”

Sensing Platform Intro • Wearables have the potential to improve care for people with

Sensing Platform Intro • Wearables have the potential to improve care for people with long-term health conditions such as dementia • The Problem: The effort involved in collecting and storing the data is significant – Requires expertise – Time and money

Platform Overview • Hardware and software platform to support future dementia research using wearable

Platform Overview • Hardware and software platform to support future dementia research using wearable technologies • Support as many different projects as possible • Support a wide range of device types

Implementation • Allows collection and storage of highresolution longitudinal data • Is generic and

Implementation • Allows collection and storage of highresolution longitudinal data • Is generic and ‘device-agnostic’ • Architecture is flexible to allow for future modifications

Platform Architecture 3 rd Party System Data seamlessly transmitted Setup Study Uo. M DPUK

Platform Architecture 3 rd Party System Data seamlessly transmitted Setup Study Uo. M DPUK Server Integrated data Data upload

Key Functionality • Central repository for storing data associated with large number of studies

Key Functionality • Central repository for storing data associated with large number of studies • Can receive data from: – Mobile devices – 3 rd party systems – Manual upload - e. g. pre-existing data or devices without Internet connectivity • Easy study setup and management via webbased interface

Future Research • Often driven by clinical need, therefore clinician rather than technology led

Future Research • Often driven by clinical need, therefore clinician rather than technology led • Research collaborations that use the platform • Wearable devices for medical applications?

Acknowledgements

Acknowledgements

More Info / Demo • To find out more, discuss a collaboration or for

More Info / Demo • To find out more, discuss a collaboration or for a demo: • Matt Machin, matthew. machin@manchester. ac. uk