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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26434

Detection of Various Heart Problems After Covid19 using ECG in MATLAB

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26434

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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SAL

Shital A. Ladkat

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Abstract

: Covid is now relatively less severe than it was three years back. However, the risk related to the disease is still there as long Covid continue to torment some patients for long even after the initial recovery A high burden of severe disease and death from the coronavirus disease 2019 (COVID-19) has been consistently observed in older patients, especially those with pre-existing medical co-morbidities. The global pandemic lockdown has isolated many patients with chronic illnesses from their routine medical care. This narrative review article analyses the multitude of issues faced by individuals with underlying medical conditions during the COVID-19 pandemic. Electrocardiogram (ECG) illustrates the electrical activity in the heart, and is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. ECG is the graphical recording of the electrical activity of the heart used for clinical diagnosis. The project has been devised to find a method for ECG signal analysis which is simple and has good accuracy and takes less computation time. Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and disorders.

KEYWORDS

ECG Signal Abnormal ECG after Corona QRS complex RR interval.

Cite This Article

Shital A. Ladkat, "Detection of Various Heart Problems After Covid19 using ECG in MATLAB," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26434

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Publication Date

2/10/2023

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Review Rounds: 2

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