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A T-wave Variation Characteristics Evaluation Algorithm for Ischemic Heart Beats

Author

Listed:
  • JONG-RUL PARK

    (College of Information and Communication Engineering, Sungkyunkwan University, Seoul, Republic of Korea)

  • JONG EUN PARK

    (Department of Emergency Medicine, Yonsei University Gangnam Severance Hospital, Seoul, Republic of Korea)

Abstract

During an exercise, muscle contraction occurs for body movements, and requires more amount of oxygen. Then, heart beating rate tend to increases during an exercise [1]. While heart beating rate varies, the sympathetic nerve, respiratory, and blood circulation system adapt to the muscle contracting action. Sympathetic nerve system with a calcium ion handling problem causes abnormal myocardial actions, and has potential to develop arrhythmia [2]. However, the heart beat electric signal variations through wearable electrodes are less noticeable without an electric signal data screening process. The proposed electric signal data screening process determineswhether ischemic heart beat is present, and evaluates the T wave variation characteristics from standard deviation of amplitude and and beat-by-beat duration comparison. The T-wave represents depolarization and repolarization of the left ventricle. Duration of the the T-wave is from the Q point of the QRS complex and represents QT interval. QT interval prolongation with the T-wave morphology becomes a biomarker of acute myocardial ischemia, and represents the ventricular repolarization abnormalities [3]. This paper characterizes depolarization and repolarization actions of the left ventricle from the electric signal outputs of electrocardiography (ECG or EKG). The proposed electric signal data screening process evaluates beat-to-beat information of amplitude and duration of T-waves among electric signals from multi-electrode EKG. Among the experimental data in this paper, the heart beat showing the maximum QT interval tended to have amplitude values with higher standard deviation. For the experimental 12-lead EKG data, certain beat-order tended to represent the maximum QT interval through the 12 channels. The experimental dataset from the channel with abnormal QT interval prolongation represented more dispersed QT intervals than the dataset from the other channel without abnormal QT interval prolongation.

Suggested Citation

  • Jong-Rul Park & Jong Eun Park, 2017. "A T-wave Variation Characteristics Evaluation Algorithm for Ischemic Heart Beats," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 3(3), pages 80-84.
    • Handle: RePEc:apa:ijhmss:2017:p:80-84
    DOI: 10.20469/ijhms.3.30004-3
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    Cited by:

    1. Nikita Frinadya & Delfitri Munir & Andrina Y. M. Rambe, 2018. "Sinonasal Anatomical Variation in Chronic Rhinosinusitis Patients Based on CT Scan Finding," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 4(2), pages 48-53.
    2. Soran Ahmad Khdr & Shakawan M. Ismaeel, 2019. "Outcome of In-Hospital Cardiac Arrest in Rozh-Halat Emergency Hospital," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 5(1), pages 1-7.

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