Why the study?
Does the Welch method improve the accuracy of atrial fibrillation detection from intra-atrial electrograms compared to the Bartlett method?
Does the Welch method improve the accuracy of atrial fibrillation detection from intra-atrial electrograms compared to the Bartlett method?
The Welch method provides higher accuracy (98%) than the Bartlett method for estimating dominant frequency in the detection of atrial fibrillation from intra-atrial electrograms.
May support Welch for electrogram-based AF detection; hypothesis-generating and should not change practice without validation.
Atrial fibrillation (Afib) is related with heart failure, stroke, and high mortality rates. In frequency domain analysis, pre-requisite for Afib detection has been the estimation of reliable dominant frequency (DF) of atrial signals via different spectral estimation techniques. DF further characterizes Afib, and helps in its treatment. This paper aims at finding the most appropriate nonparametric FFT-based spectral estimation technique to estimate reliable DF for Afib detection. In this work, real-time intra-atrial electrograms have been acquired and pre-processed for frequency analysis. DF is estimated via Bartlett using Hanning window, and Welch methods. Regularity index (RI), a parameter to ensure reliability of DF, is calculated using Simpson 3/8 and Trapezoidal rules. The best method is declared based upon high accuracy of Afib detection using reliable DF. On comparison, Welch method is found to be more appropriate to estimate reliable DF for Afib detection with 98% accuracy.
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Sheikh et al. (2015) studied this question.
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