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ECG sensor signal analysis to represent cases in a case-based stress diagnosis system

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3 Author(s)
S. Begum ; School of Innovation, Design and Engineering, Mälardalen University, PO Box 883 SE-721 23, Västerås, Sweden ; M. U. Ahmed ; P. Funk

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.

Published in:

Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine

Date of Conference:

3-5 Nov. 2010