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Spectrogram as an Emerging Tool in ECG Signal Processing

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Recent Advances in Manufacturing, Automation, Design and Energy Technologies

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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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Authors and Affiliations

  1. KIET Group of Institutions, Delhi-NCR, Ghaziabad, 201206, Uttar Pradesh, India

    Varun Gupta & Nitin Kumar Saxena

  2. National Institute of Technology, Kurukshetra, 136119, Haryana, India

    Monika Mittal & Vikas Mittal

Authors
  1. Varun Gupta
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  2. Monika Mittal
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  3. Vikas Mittal
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  4. Nitin Kumar Saxena
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Editors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Puducherry, Karaikal, Puducherry, India

    Sendhil Kumar Natarajan

  2. School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India

    Rajiv Prakash

  3. Department of Mechanical Engineering, National Institute of Technology Puducherry, Puducherry, India

    K. Sankaranarayanasamy

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Gupta, V., Mittal, M., Mittal, V., Saxena, N.K. (2022). Spectrogram as an Emerging Tool in ECG Signal Processing. In: Natarajan, S.K., Prakash, R., Sankaranarayanasamy, K. (eds) Recent Advances in Manufacturing, Automation, Design and Energy Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4222-7_47

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  • DOI: https://doi.org/10.1007/978-981-16-4222-7_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4221-0

  • Online ISBN: 978-981-16-4222-7

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