Research for the Working Theorem and Application of Electrocardiogram

Authors

  • Mai Takada

DOI:

https://doi.org/10.62051/f4c1n817

Keywords:

Electrocardiography; Physics; Medical science; Deep learning.

Abstract

Electrocardiograms (ECGs) are essential for diagnosing cardiac diseases, and recording the heart's electrical activity across cycles. Despite their critical role, there remains a gap in understanding the detailed principles and historical development of ECGs. This article introduces the historical development, basic principles, and application of ECG in the diagnosis of heart diseases. The working principle of ECG is studied, including the depolarization and repolarization process of myocardial cells, and how these physiological activities are manifested in ECG waveforms. The research involves analyzing the process of depolarization and repolarization in cardiomyocytes, illustrating how these principles manifest in ECG waveforms. The findings show that ECGs provide valuable insights into cardiac function, enabling the detection of arrhythmias and other conditions. This study concludes that ECGs are indispensable for cardiac diagnostics and highlights their continued significance in modern medicine. This study provides an in-depth exploration of ECG technology and its application in the diagnosis of heart disease, laying an important foundation for future research and practice.

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References

[1] Cross M E, Plunkett E V E. Einthoven’s triangle and axis. In: Physics, Pharmacology and Physiology for Anaesthetists: Key Concepts for the FRCA. Cambridge: Cambridge University Press, 2014: 241 - 243.

[2] National Research Council, Division on Earth, Life Studies, Commission on Life Sciences, Committee on Diet. Diet and health: implications for reducing chronic disease risk. 1989.

[3] His bundle. American Heritage® Dictionary of the English Language, Fifth Edition. 2011 [2024-08-15]. https://www.thefreedictionary.com/His+bundle.

[4] Saxton A, Tariq M A, Bordoni B. Anatomy, thorax, cardiac muscle. In: StatPearls [Internet]. StatPearls Publishing, 2023.

[5] Enyedi P, Czirják G. Molecular background of leak K+ currents: two-pore domain potassium channels. Physiol Rev, 2010, 90 (2): 559 - 605.

[6] Wright S H. Generation of resting membrane potential. Adv Physiol Educ, 2004, 28 (1-4): 139 - 142.

[7] Hall J E. Guyton and hall textbook of medical physiology, Jordanian edition. Elsevier Health Sciences, 2016.

[8] Sattar Y, Chhabra L. Electrocardiogram. In: StatPearls. Treasure Island (FL): StatPearls Publishing, 2024 [2023-06-05]. https://www.ncbi.nlm.nih.gov/books/NBK549803/.

[9] Medzcool. P-QRS-T waves. 2021-11-01 [2024-08-01]. https://www.nucleotype.com/p-qrs-t-waves/.

[10] Enemark B. The importance of ECG monitoring in antidepressant treatment. Nordic Journal of Psychiatry, 1993, 47 (sup30): 57 - 65.

[11] Rawal V, Prajapati P, Darji A. Hardware implementation of 1D-CNN architecture for ECG arrhythmia classification. Biomedical Signal Processing and Control, 2023, 85: 104865.

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Published

25-11-2024

How to Cite

Takada, M. (2024) “Research for the Working Theorem and Application of Electrocardiogram”, Transactions on Computer Science and Intelligent Systems Research, 7, pp. 410–414. doi:10.62051/f4c1n817.