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An Analytical Review of Different Approaches for Detection and Analysis of Electrocardiographic ST Segment

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

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Abstract

ST segment analysis is significantly a critical non-invasive pointer to identify ischemic unsettling influences. It has been considered from the start of the electrocardiography on the ground that critical cardiovascular conditions are one of the fundamental drivers of death on the planet and ischemic aggravations are a standout amongst the most vital heart conditions. Most basic Sudden Cardiac Deaths (SCDs) are triggered by Coronary heart disease (CHD). This study is for promising investigation for ST segment discovery and determination of Coronary heart disease. Different presented techniques and algorithms are concisely discussed on ST segment detection and analysis of this segment for possible identification of cardiovascular abnormalities.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Gangtok, India

    Akash Kumar Bhoi & Karma Sonam Sherpa

  2. Department General Medicine, Central Referral Hospital and SMIMS, Sikkim Manipal University, Gangtok, India

    Bidita Khandelwal

  3. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology (VBIT), Hyderabad, India

    Pradeep Kumar Mallick

Authors
  1. Akash Kumar Bhoi
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  2. Karma Sonam Sherpa
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  3. Bidita Khandelwal
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  4. Pradeep Kumar Mallick
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Corresponding author

Correspondence to Akash Kumar Bhoi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

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Bhoi, A.K., Sherpa, K.S., Khandelwal, B., Mallick, P.K. (2019). An Analytical Review of Different Approaches for Detection and Analysis of Electrocardiographic ST Segment. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_5

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