Low-complexity detection of atrial fibrillation in continuous long-term monitoring

Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation

“…Thus, some entropy-based indices, relying on RR time series, have reported the highest ability to discern AF from other rhythms (OR) [20]. However, these metrics have to be computed from time intervals with at least several dozens of beats, thus introducing a delay in the identification of AF and burying the detection of short episodes [23]. Bearing in mind that the occurrence of brief asymptomatic episodes often conforms the typical advent of AF [14] and that this fact has been closely associated with an elevated risk of thrombus formation [24] and ischemic stroke recurrence [18], this limitation involves a serious drawback in RR time series-based methods.…”

“…Precisely, the most recent works are putting special emphasis on palliating this issue [23,[25][26][27][28][29][30]. In fact, some authors have proposed the use of information from RR intervals series irregularity in combination with features obtained from the atrial activity (AA), that is, the P-orwaves [23,28,29].…”

Atrial Fibrillation Analysis for Real Time Patient Monitoring

“…The results indicated that the positive predictive values for AF were 97% [8]. In addition, A low complexity method introduced by Petrenas et al [9] based on statistical techniques of RR data from a sliding window of 8 beats was utilized to discern AF from normal rhythms. The results for sensitivity and specificity were 97.1% and 98.3% respectively.…”

Arrhythmia Classification via Time and Frequency Domain Analyses of Ventricular and Atrial Contractions

“…There are three general approaches for AF detection: -Atrial activity analysis associated with investigation of the TQ interval for presence of multiple P-waves [3,4] or absence of P-waves [5]; -Ventricular response analysis associated with RR intervals investigation via assessment of their median absolute deviation [6], irregularity [7], sample entropy [8], etc. ; -Combination of independent data from the atrial and ventricular contractions analyses [9,10].…”

“…The ECG analyses for AF detection are performed either in the time [3][4][5][6][7][8][9][10] or in the frequency domain, where the dominant AF frequency is usually assessed over a signal with extracted QRS-T complexes [12,13].…”