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2022 | OriginalPaper | Buchkapitel

Spectrogram as an Emerging Tool in ECG Signal Processing

verfasst von : Varun Gupta, Monika Mittal, Vikas Mittal, Nitin Kumar Saxena

Erschienen in: Recent Advances in Manufacturing, Automation, Design and Energy Technologies

Verlag: Springer Singapore

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Abstract

These days signal processing has the great importance in extracting important pathological attributes of the subject (patient). This paper covers important aspects of Electrocardiogram (ECG) signal analysis by proposing emerging tool. The degree of morphological beat-to-beat variability has been examined using a spectrogram technique on real-time ECG datasets. It provides time varying spectral density description of the ECG signal. Out of 49,181 total beats, the proposed technique presents duplicity (D) of 0.4% and detection rate (DR) of 99.48%. Some of the possible future directions, that the research work carried out in this paper can take, are also outlined in conclusion section.

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Titel: Spectrogram as an Emerging Tool in ECG Signal Processing
verfasst von: Varun Gupta
Monika Mittal
Vikas Mittal
Nitin Kumar Saxena
Verlag: Springer Singapore
Buch: Recent Advances in Manufacturing, Automation, Design and Energy Technologies
Print ISBN: 978-981-16-4221-0

Electronic ISBN: 978-981-16-4222-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-981-16-4222-7_47

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