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Meslek Yüksek Okulu

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    Citation - WoS: 0
    Citation - Scopus: 2
    Comparative Performance Analysis of Filtering Methods for Removing Baseline Wander Noise from an ECG Signal
    (World Scientific Publ Co Pte Ltd, 2024) Ozaydin, Selma; Özaydın, Selma; Ahmad, Imteyaz; 253019; Çankaya Meslek Yüksekokulu
    ECG signals play a vital role in the diagnosis of cardiovascular conditions. However, they often suffer from the effects of various noise sources, including baseline wandering, respiratory artifact noise, power line interference and electrode motion artifacts. To overcome these challenges, it is imperative to implement low-frequency signal noise reduction strategies. Such strategies aim to significantly improve the quality of ECG signals, thus promoting more accurate and reliable diagnosis of cardiovascular disorders. This paper conducts a comparative analysis to assess the effectiveness of commonly used filtering and wavelet techniques in reducing Baseline Wander (BW) noise within ECG signals generated by the influence of breathing or electrode movements. It is common to observe the selection and evaluation of only one particular technique in the existing literature. In contrast, this study aims to provide a comprehensive comparative analysis, providing insight into the performance and relative merits of different techniques. Our research uses both filtering and Discrete Wavelet Transform (DWT) techniques in baseline noise removal. In this context, a reference point is established utilizing noise-free signals and a meticulous investigation of the wavelet-based approach that most effectively eliminates the resulting noise is provided. Subsequently, we assess the reference input and output signal via Signal-to-Noise Ratio (SNR) and Kolmogorov-Smirnov statistical test measurements. The most important contribution of this work to the scientific community resides in the comprehensive examination of IIR/FIR-based and wavelet method-based filtering methods capable of yielding the highest SNR levels across various ECG signals with various types of BW noise. Additionally, the effectiveness of the Chebychev-II filter in BW noise removal is highlighted. Our study was conducted using the MATLAB platform and code command lines were shared to facilitate the reproduction of our study by other researchers. It is considered that this study will be an important reference in the selection of effective techniques for removing BW noise within ECG signals.
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    Article
    Citation - WoS: 148
    Citation - Scopus: 156
    Testing for unit root in nonlinear heterogeneous panels
    (Elsevier Science Sa, 2009) Uçar, Nuri; Ucar, Nuri; Omay, Tolga; Omay, Tolga; 189073; Bankacılık ve Finans; Çankaya Meslek Yüksekokulu
    We develop unit root tests for nonlinear heterogeneous panels where the alternative hypothesis is an exponential smooth transition (ESTAR) model, and provide their small sample properties. We apply our tests for investigating the income convergence hypothesis in the OECD sample. (C) 2009 Published by Elsevier B.V.
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    Article
    Citation - WoS: 31
    Citation - Scopus: 36
    The endogenous and non-linear relationship between terrorism and economic performance: Turkish evidence
    (Taylor & Francis Ltd, 2009) Araz-Takay, Bahar; Omay, Tolga; Arin, K. Peren; Omay, Tolga; 177438; Çankaya Meslek Yüksekokulu
    This paper investigates the macroeconomic effects of terror by using a novel data set from Turkey for the period of 1987:1 to 2004:4. This research contributes to the literature by controlling for the possible non-linear and endogenous relationship between political conflict and economic activity. Empirical evidence from both linear and non-linear models confirms that terrorism has a large significant negative impact on economic activity. Finally, the results from the non-linear model show that the impact of terrorism on the aggregate economy is more severe during expansionary periods, and that the impact of economic activity on terrorism is significant only in recessionary periods.