TITLE:
Nonparametric Spectral Estimation Technique to Estimate Dominant Frequency for Atrial Fibrillation Detection
AUTHORS:
Shafa-at Ali Sheikh, Aftab Zafar Majoka, Khalil Ur Rehman, Nauman Razzaq, Tahir Zaidi
KEYWORDS:
Atrial Fibrillation, Dominant Frequency, Regularity Index, Nonparametric Spectral Estimation Techniques, Welch Method
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.6 No.4,
November
26,
2015
ABSTRACT: 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.