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A framework for automatic text generation of trends in physiological time series data
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9607-9504
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2013 (English)In: IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester, IEEE conference proceedings, 2013, p. 3876-3881Conference paper, Published paper (Refereed)
Abstract [en]

Health monitoring systems using wearable sensorshave rapidly grown in the biomedical community. The mainchallenges in physiological data monitoring are to analyse largevolumes of health measurements and to represent the acquiredinformation. Natural language generation is an effective methodto create summaries for both clinicians and patients as it candescribe useful information extracted from sensor data in textualformat. This paper presents a framework of a natural languagegeneration system that provides a text-based representation ofthe extracted numeric information from physiological sensorsignals. More specifically, a new partial trend detection algorithmis introduced to capture the particular changes and events ofhealth parameters. The extracted information is then representedconsidering linguistic characterisation of numeric features. Ex-perimental analysis was performed using a wearable sensor and demonstrates a possible output in natural language text.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. p. 3876-3881
Keywords [en]
Health monitoring, physiological data analysis, body area networks, natural language generation, linguistic summarisation
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-32260DOI: 10.1109/SMC.2013.661ISI: 000332201904002Scopus ID: 2-s2.0-84890455979ISBN: 978-1-4799-0652-9 (print)OAI: oai:DiVA.org:oru-32260DiVA, id: diva2:662242
Conference
IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester
Available from: 2013-11-06 Created: 2013-11-06 Last updated: 2018-01-11Bibliographically approved

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Banaee, HadiAhmed, Mobyen UddinLoutfi, Amy

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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