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Phonocardiographic Signal Analysis for the Detection of Cardiovascular Diseases

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Intelligent Data Engineering and Analytics (FICTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 371))

Abstract

Under this work, we propose a novel method for analyzing heart sounds to find cardiovascular illnesses. The phonocardiography (PCG) signal is divided into four pieces by the heart sound segmentation process: S1, systolic interval, S2, and diastolic interval. One may argue that it is an essential stage in the automated analysis of PCG signals. Mechanical activity of the circulatory system is conveyed via heart sounds. This data comprises the subject’s precise physiological condition as well as any short-term variations connected to the respiratory cycle. This paper’s focus is on an issue that is currently open: how to analyze noises and extract physiological state changes while keeping short-term variability.

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Author information

Authors and Affiliations

  1. CDAC, Mumbai, Maharashtra, India

    Deena Nath Gupta

  2. Department of ECE, G. B. Pant DSEU Okhla-I Campus (Formerly G. B. Pant Engineering College), New Delhi, 110020, India

    Rohit Anand

  3. College of Computer Science and Engineering, University of Hail, Hail City, Saudi Arabia

    Shahanawaj Ahamad

  4. Department of Engineering and Technology, Bharati Vidyapeeth Deemed to be University, Navi Mumbai, Maharashtra, India

    Trupti Patil

  5. Department of Information Technology, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

    Dharmesh Dhabliya

  6. Department of Computer Science and Engineering, Vaish College of Engineering, Rohtak, Haryana, India

    Ankur Gupta

Authors
  1. Deena Nath Gupta
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  2. Rohit Anand
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  3. Shahanawaj Ahamad
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  4. Trupti Patil
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  5. Dharmesh Dhabliya
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  6. Ankur Gupta
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Corresponding author

Correspondence to Rohit Anand .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Fiona Carroll

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

  4. Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Sandeep Singh Sengar

  5. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

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Gupta, D.N., Anand, R., Ahamad, S., Patil, T., Dhabliya, D., Gupta, A. (2023). Phonocardiographic Signal Analysis for the Detection of Cardiovascular Diseases. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_47

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