Jul 24, 2019   11:32 a.m. Vladimír
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doc. Ing. Oldřich Ondráček, PhD.
Identification number: 2082
University e-mail: oldrich.ondracek [at] stuba.sk
Docent CSc.,PhD. - Institute of Electronics and Phototonics (FEEIT)

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Basic information

Basic information about a final thesis

Type of thesis: Dissertation thesis
Thesis title:Digital Signal Detection Methods for ECG Signals Oscillations
Written by (author): Ing. Abdullah Mohammad Seddiq Sultan, PhD.
Department: Department of radio and electronics (FEEIT)
Thesis supervisor: doc. Ing. Oldřich Ondráček, PhD.
Final thesis progress:Final thesis was successfully defended.

Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:English

Slovak        English

Title of the thesis:Digital Signal Detection Methods for ECG Signals Oscillations
Summary:T-wave alternans represent most frequently reported modality of the electrical oscillations in ECG signal that have been studied during past decades in connection to vulnerability to dangerous arrhythmias and sudden cardiac death risk stratification. The published works as well as experimental results show evidence that not only alternating pattern, but also more complex oscillation can be observed in ECG signal. Detection methods for such general oscillation, however, were not yet elaborated by researchers. Development of methods especially addressed to detection of general oscillation in ECG morphology constitutes one of leading topic of the dissertation. Proposed methods are studied theoretically in ROC curve framework and applied on ECG signal recorded on isolated rat heart. Oscillation in morphology of ECG waves is referred as generalized alternans in this work. Two approaches were proposed for detection of generalized alternans: subsequence and whole-sequence methods. Time domain and frequency domain methods were studied in the work and evaluated in terms of detection performance. The proposed spectral method was applied on isolated rat heart ECG signal. When comparing isolated rat heart to human ECG, some specific features of rat ECG signal make detection more difficult but others features facilitate detection.
Key words:ROC curve, signal detection, T-wave alternans

Current level of public release
access to annotation and abstracts of final thesis only. Contacts are provided if the author or the supervisor does not wish to release the whole thesis. The author can state his contact details (optional)..

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