mdh.sePublications
Change search
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
A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9857-4317
Show others and affiliations
2008 (English)In: Proc. 9th European Conference on Case-based Reasoning, 2008, p. 57-68Conference paper, Published paper (Refereed)
Abstract [en]

Biofeedback is a method gaining increased interest and showing good results for a number of physical and psychological problems. Biofeedback training is mostly guided by an experienced clinician and the results largely rely on the clinician's competence. In this paper we propose a three phase computer assisted sensor-based biofeedback decision support system assisting less experienced clinicians, acting as second opinion for experienced clinicians. The three phase CBR framework is deployed to classify a patient, estimate initial parameters and to make recommendations for biofeedback training by retrieving and comparing with previous similar cases in terms of features extracted. The three phases work independently from each other. Moreover, fuzzy techniques are incorporated into our CBR system to better accommodate uncertainty in clinicians reasoning as well as decision analysis. All parts in the proposed framework have been implemented and primarily validated in a prototypical system. The initial result shows how the three phases functioned with CBR technique to assist biofeedback training. Eventually the system enables the clinicians to allow a patient to train himself/herself unsupervised.

Place, publisher, year, edition, pages
2008. p. 57-68
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-7226OAI: oai:DiVA.org:mdh-7226DiVA, id: diva2:237236
Conference
9th European Conference on Case-based Reasoning workshop proceedings, Trier, Germany
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2017-01-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, Ning

Search in DiVA

By author/editor
Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, Ning
By organisation
School of Innovation, Design and Engineering
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 224 hits
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