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A Multi-Sensor Monitoring System for Objective Mental Health Management in Resource-Constrained Environments

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CPD This content can contribute towards your Continuing Professional Development (CPD) as part of the IET's CPD Monitoring scheme.
Conference
  • Session
  • Wednesday, 17 September 2014
  • 00:00
  • Duration: 16 mins
  • Publication date: 17 Sep 2014
  • Location: IETTV_Room, IETTV_Venue, London, United Kingdom
  • Part of event Appropriate Healthcare Technologies for Low-Resource Settings 2014 (AHT 2014)

About the session

Neuropsychiatric conditions account for one third of years lost to disability among adults worldwide and in the United Kingdom account for almost half of all health issues for people under the age of 65. At the same time, mental health budgets (especially in low- and middle-income countries) are increasingly stretched denying care to those that need it. The World Health Oorganization predicts that unipolar depressive disorders will become the leading cause of disabilities worldwide by 2030. This presentation describes a smartphone-based system that allows remote realtime monitoring of psychiatric patient symptoms, behaviour and physiology to enable allocation of psychiatric resources most efficiently. The speaker presents preliminary results from an ongoing study of over 100 participants showing qualitative differences between healthy controls and pathological subjects.

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Speaker

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    Nick Palmius

    University of Oxford, Department of Engineering Science, Institute of Biomedical Engineering, D.Phil student

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