2020
DOI: 10.1111/pace.13898
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Life‐threatening ventricular arrhythmia as first presentation of Tuberculosis—Early diagnosis and successful treatment: A case series

Abstract: Background: Tuberculosis of the myocardium is an extremely rare entity with few published case reports. Diagnosis is often delayed, and outcomes are unfavorable: particularly when cardiac involvement has been the presenting entity.Methods: Four patients, aged 24-51 years, presented with life-threatening ventricular arrhythmia (VA). None had a previous history of tuberculosis or any structural heart disease. Electrocardiogram during sinus rhythm and Echocardiography did not show any gross abnormality. All patie… Show more

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Cited by 2 publications
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“…The literature uses a five-level discrete wavelet transform to decompose the signal into six subband signals with different frequency distributions. Three RR interval correlation features were added to construct a feature vector of 30 features, and finally [ 10 ] the features were fed into a feedforward backpropagation neural network to achieve the classification of seven signals. Transformation extracted wavelet coefficients of ECG signals as the first features and optimized the wavelet extracted features using a combination of principal component analysis and independent component analysis and then fused intervals as the final features.…”
Section: Related Workmentioning
confidence: 99%
“…The literature uses a five-level discrete wavelet transform to decompose the signal into six subband signals with different frequency distributions. Three RR interval correlation features were added to construct a feature vector of 30 features, and finally [ 10 ] the features were fed into a feedforward backpropagation neural network to achieve the classification of seven signals. Transformation extracted wavelet coefficients of ECG signals as the first features and optimized the wavelet extracted features using a combination of principal component analysis and independent component analysis and then fused intervals as the final features.…”
Section: Related Workmentioning
confidence: 99%