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  1. Videos
  2. Video

The IET Healthcare Technologies Student and Early Career Awards – Winner’s Story: Anas Imtiaz

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Interview
  • Duration: 1 min
  • Publication date: 20 Mar 2018

Abstract

Anas Imtiaz talks about his research into sleep disorders and how the award has recognised and supported his work in this field.

Winnning the J A Lodge Award in IET Healthcare Technologies has helped to recognise Anas' research into sleep disorders.  It has motivated him to continue his work, creating wearable devices for sleep monitoring and diagnosis and helped to shorten the time to eventual diagnosis of sleep disorders. This research is having an impact and improving people's lives.

Intelligent wearable devices can be used for monitoring and diagnosis of sleep disorders if they can automatically detect sleep abnormalities. This requires designing low-complexity algorithms and low-power systems capable of operating for extended periods of time. This work explores the development of one such algorithm, for automatic sleep staging, and its subsequent implementation as an ultra-low power system-on-chip. 

The IET Healthcare Technologies Student and Early Career Awards are run annually to help healthcare students gain recognition from the healthcare technologies community. There are three awards covering MEng, MSc or PhD students, with the three winners being invited to present at the IET Annual Healthcare Lecture in London as well as winning a cash prize and certificate.  

Find out more at: www.theiet.org/healthcare-awards

 

Keywords:
  • J A Lodge
  • brain signals
  • device
  • diagnose
  • healthcare awards
  • sleep
  • sleep disorders
  • sleep study
  • wearable

Channels

Healthcare

Healthcare

Communities

Communities

Speaker

  • Syed Anas Imtiaz

    Syed Anas Imtiaz

    Syed Anas Imtiaz is a Postdoctoral Research Associate working in the Wearable Technologies Lab at the Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom. His research focuses on the design of ultra-low power wearable systems for the diagnosis, monitoring, and treatment of sleep disorders. More specifically, he is interested in using biomedical signal processing techniques to extract sleep parameters and develop low complexity algorithms for detection of sleep abnormalities. He also works on the design of low power integrated circuits and embedded systems for real-time implementation of these algorithms.
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