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T Wave Analysis: Potential Marker of Arrhythmia and Ischemia Detection-A Review

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Cognitive Informatics and Soft Computing

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

Abstract

T wave is the end potential waveform or segment of cardiac cycle. It is basically originated by the different layers of ventricular myocardium and their differences in repolarization time. This study analyzes the conventional techniques and automatic popular methods associated with T Wave Alternans (TWA) and their approaches towards ischemic and arrhythmic interventions. This review work is divided into two major parts i.e. (i) Analysis of T wave: association of T wave with ischemia and arrhythmia (ii) T wave detection techniques. This analytical literature survey also leads to the conclusion, where the importance of T wave analysis significantly inculcates ideological researcher and clinical mindset for approaching critical cardiac diseases in multimodal approaches.

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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 .

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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). T Wave Analysis: Potential Marker of Arrhythmia and Ischemia Detection-A Review. 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_13

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