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Title: On the use of ECG waveforms for health status estimation
Authors: Tsapatsoulis, Nicolas 
Rapantzikos, Konstantinos 
Balomenos, Themis 
metadata.dc.contributor.other: Τσαπατσούλης, Νικόλας
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: ECG analysis;Wavelets;Hybrid intelligence system;Classifier;Health status estimation
Issue Date: 2003
Source: Tales of the Disappearing Computer Confertence, 2003, Santorini, Greece, 1-4 June
Abstract: We present a system that uses ECG time series for reaching decisions regarding the user’s health status. ECG waveforms can provide us with certain features that have diagnostic value for several cases. The system consists of two modules. The first performs the analysis of the ECG data so as to extract the aforementioned features, and the second is a hybrid intelligence system combining neural and neurofuzzy networks that uses these features to reach decisions according to certain rules provided by medical experts. The output of the system is a classification of the user’s health state to certain alert levels. The system presented here can be integrated in an artificial agent monitoring a user and deciding for his health state.
Type: Conference Papers
Affiliation : National Technical University Of Athens 
Altec S.A. 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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