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An Edge Computing Method for Extracting Pathological Information from Phonocardiogram
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
CAPIS Biomedical Research and Development Centre, Mons, Belgium.
Department of Biomedical Engineering, Linköping University, Sweden.
2019 (English)In: Studies in Health Technology and Informatics, ISSN 09269630, Vol. 262, p. 364-367Article in journal (Refereed) Published
Abstract [en]

This paper presents a structure of decision support system for pediatric cardiac disease, based on an Internet of Things (IoT) framework. The structure performs the intelligent decision making at its edge processing level, which classifies the heart sound signal, to three classes of cardiac conditions, normal, mild disease, and critical disease. Three types of the errors are introduced to evaluate the performance of the processing method, Type 1, 2 and 3, defined as the incorrect classification from the critical disease, mild, and normal, respectively. The method is validated using 140 real data patient records collected from the hospital referrals. The estimated negative errors for the Type 1, and 2, are calculated to be 0% and 4.8%, against the positive errors which are 6.3% and 13.3%, respectively. The Type 3, is calculated to be 16.7%, showing a high sensitivity of the method to be used in an IoT healthcare framework.

Place, publisher, year, edition, pages
IOS Press , 2019. Vol. 262, p. 364-367
Keywords [en]
Edge processing, Internet of things, Time growing neural network
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-44916DOI: 10.3233/SHTI190094PubMedID: 31349343Scopus ID: 2-s2.0-85068553132ISBN: 9781614999867 (print)OAI: oai:DiVA.org:mdh-44916DiVA, id: diva2:1337893
Note

Export Date: 18 July 2019; Conference Paper; Correspondence Address: Gharehbaghi, A.; School of Innovation, Design and Technology, Mälardalen UniversitySweden; email: arash.ghareh.baghi@mdh.se

Available from: 2019-07-18 Created: 2019-07-18 Last updated: 2019-10-14Bibliographically approved

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Ghareh Baghi, Arash

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CiteExportLink to record
Permanent link

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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