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ECG Sensor Signal Analysis to Represent Cases in a Case-based Stress Diagnosis System
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
2010 (English)In: Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB, Corfu, Greece, 2010Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a signal pre-processing and feature extraction approach based on electrocardiogram (ECG) sensor signal. The extracted features are used to formulate cases in a case-based reasoning system to develop a personalized stress diagnosis system. The results obtained from the evaluation show a performance close to an expert in the domain in diagnosing stress using ECG sensor signal.

Place, publisher, year, edition, pages
Corfu, Greece, 2010.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-10846DOI: 10.1109/ITAB.2010.5687657Scopus ID: 2-s2.0-79951607590ISBN: 978-142446560-6 (print)OAI: oai:DiVA.org:mdh-10846DiVA: diva2:369150
Conference
10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010;Corfu;2 November 2010through5 November 2010
Available from: 2010-11-10 Created: 2010-11-10 Last updated: 2017-01-25Bibliographically approved

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Begum, ShahinaAhmed, Mobyen UddinFunk, Peter
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