Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7013
Title: MATLAB toolboxes: Teaching feature extraction from time-varying biomedical signals
Authors: Übeyli, Elif Derya
Güler, İnan
Keywords: time-varying biomedical signals
feature extraction
MATLAB toolboxes
Issue Date: 2006
Publisher: Wiley
Abstract: This article presents an initiative to teach the concept of feature extraction from time-varying signals to biomedical engineering students. The approach was based on illustrative applications that highlight the performance of different feature extraction methods, Following a brief description of the feature extraction methods, applications of the methods to the time-varying biomedical signals (electrocardiogram-ECG, electroencephalogram-EEG, arterial Doppler signals) were done by means of a series of MATLAB functions. The functions involved in Signal Processing and Wavelet Toolboxes of MATLAB, which can be used to extract features from the signals under study were presented. The authors suggest that the use of MATLAB exercises will assist the students in gaining a better understanding of the various features representing the time-varying biomedical signals. (c) 2006 Wiley Periodicals, Inc.
URI: https://doi.org/10.1002/cae.20086
https://hdl.handle.net/20.500.11851/7013
ISSN: 1061-3773
1099-0542
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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