A novel adaptive window based technique for T wave detection and delineation in the ECG

• Autorzy: Rahul Jagdeep , Sora Marpe

Identyfikatory

DOI

10.1515/bams-2019-0064

• Języki publikacji: EN

Abstrakty

EN

The electrocardiogram (ECG) morphology determines the overall activity of the heart and is the most widely used tool in the diagnostic processes. T wave is a crucial wave component that reveals very useful information regarding various cardiac disorders. In this paper we have proposed a novel T wave detection technique based on adaptive window and simple decision rule. The proposed technique uses two-stage median filters followed by the Savitzky-Golay filter at the pre-processing stage to remove the noises in the ECG signal. The QRS complex is detected for locating the T wave as a reference in one ECG cycle. An R-R interval based window is considered for detecting the T wave, and decision logic depends on the iso-electric line value. The proposed technique is tested on the QT database and self-recorded dataset for its performance evaluation. In the present work, the results achieved for T wave detection sensitivity (Se), positive predictivity (+P), detection error rate (DER), and accuracy (Acc) on the QT database are Se = 97.57%, +P = 99.63%, DER = 2.78%, and Acc = 97.22% with an average time error of (3.468 ± 5.732) ms. The proposed technique shows Se = 99.94%, +P = 99.94%, DER = 0.01%, and Acc = 99.89% on the self-recorded dataset. The proposed technique is also capable of detecting both the upward and downward T wave efficiently in the ECG signal.

Słowa kluczowe

EN

ECG; pre-processing; QRS complex; R peak; T wave

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2020
• Tom: Vol. 16, no. 1
• Strony: art. no. 20190064
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Rahul Jagdeep

• Department of Electronics and Communication Engineering, Rajiv Gandhi University, Arunachal Pradesh, India

autor

Sora Marpe

• Department of Computer Science and Engineering, Rajiv Gandhi University, Arunachal Pradesh, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).