Title :
ECG sensor signal analysis to represent cases in a case-based stress diagnosis system
Author :
Begum, S. ; Ahmed, M.U. ; Funk, P.
Author_Institution :
Sch. of Innovation, Design & Eng., Malardalen Univ., Vasteras, Sweden
Abstract :
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.
Keywords :
electrocardiography; feature extraction; medical diagnostic computing; medical signal processing; ECG; case-based stress diagnosis system; electrocardiogram; feature extraction; signal analysis; signal preprocessing; Artificial neural networks; Electrocardiography; Europe; Feature extraction; Medical diagnostic imaging;
Conference_Titel :
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4244-6559-0
DOI :
10.1109/ITAB.2010.5687657
