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Energy-Efficient Detection of Atrial Fibrillation in the Context of Resource-Restrained Devices
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

eHealth is a recently emerging practice at the intersection between the ICT and healthcare fields where computing and communication technology is used to improve the traditional healthcare processes or create new opportunities to provide better health services, and eHealth can be considered under the umbrella of the Internet of Things. A common practice in eHealth is the use of machine learning for a computer-aided diagnosis, where an algorithm would be fed some biomedical signal to provide a diagnosis, in the same way a trained radiologist would do.

This work considers the task of Atrial Fibrillation detection and proposes a novel range of algorithms to achieve energy-efficiency. Based on our working hypothesis, that computationally simple operations and low-precision data types are key for energy-efficiency, we evaluate various algorithms in the context of resource-restrained health-monitoring wearable devices. Finally, we assess the sustainability dimension of the proposed solution.

Place, publisher, year, edition, pages
2019. , p. 56
Keywords [en]
IoT, machine learning, atrial fibrillation, ECG, energy-efficiency, hyperdimensional computing, stochastic computing, RVFL, edge computing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-76394OAI: oai:DiVA.org:ltu-76394DiVA, id: diva2:1360979
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level (120 credits)
Supervisors
Examiners
Available from: 2019-10-22 Created: 2019-10-14 Last updated: 2019-10-22Bibliographically approved

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3435363738394037 of 68
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf