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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Investigating Abdominal Electrocardiogram Signals: Scalogram Analysis for Accurate Characterization |
| Authors Name: | Bhagwat Atharav Rajendra , Najib Ghatte |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_204902
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| Published Paper Id: | IJNRD2309023 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | The abdominal electrocardiogram (ECG) has emerged as a promising non-invasive technique for cardiac monitoring. However, accurately characterizing aECG signals remains challenging due to their complex nature and susceptibility to noise. In this study, we investigate the application of Continuous Wavelet Transform (CWT) combined with scalogram analysis for the accurate characterisation of ECG signals. We propose a novel framework that leverages the time-frequency analysis capabilities of CWT and the visual representation provided by scalogram analysis to extract valuable features from ECG signals. Through extensive experimentation on a dataset of ECG recordings, we demonstrate the efficacy of our approach in accurately characterizing various cardiac events, including P-wave detection, QRS complex identification, and T-wave analysis. The proposed method exhibits superior performance compared to traditional time-domain or frequency-domain analysis techniques. Furthermore, we explore the impact of different wavelet functions and CWT parameters on the characterization accuracy. Our findings highlight the potential of CWT/scalogram analysis as a robust tool for precise and reliable characterization of ECG signals. The outcomes of this research hold great promise for advancing the field of non-invasive cardiac monitoring and have significant implications for improving the diagnosis and treatment of cardiovascular diseases. |
| Keywords: | Abdominal electrocardiogram(ECG) signals, Time-Frequency analysis, Continuous Wavelet Transform(CWT), Scalogram Analysis, P-wave detection, QRS complex identification, T-wave analysis, wavelet functions, cardiovascular diseases. |
| Cite Article: | "Investigating Abdominal Electrocardiogram Signals: Scalogram Analysis for Accurate Characterization", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a179-a193, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309023.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2309023 Registration ID: 204902 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: a179-a193 Country: Mumbai Suburban, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309023 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309023 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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